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Shakeel Khan</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Karachi</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://jaipur.academia.edu/NeelamJain"><img class="profile-avatar u-positionAbsolute" alt="Neelam Jain" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/448341/35778786/30897802/s200_neelam.jain.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://jaipur.academia.edu/NeelamJain">Neelam Jain</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Amity University Rajasthan</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar 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Babylon</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="176025918" href="https://www.academia.edu/Documents/in/Adverse_Drug_Reactions"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/RodneyStewart6","location":"/RodneyStewart6","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/RodneyStewart6","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Adverse Drug Reactions"]}" data-trace="false" data-dom-id="Pill-react-component-f964cc6e-6352-4bee-8ed8-addd08a21e64"></div> <div 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active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Rodney Stewart</h3></div><div class="js-work-strip profile--work_container" data-work-id="125734289"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734289/Smart_Technologies_in_Reducing_Carbon_Emission"><img alt="Research paper thumbnail of Smart Technologies in Reducing Carbon Emission" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734289/Smart_Technologies_in_Reducing_Carbon_Emission">Smart Technologies in Reducing Carbon Emission</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Global warming caused by greenhouse gases (GHG) is regarded as one of the biggest threats facing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Global warming caused by greenhouse gases (GHG) is regarded as one of the biggest threats facing our world. Climate scientists predict that a 1.5°C rise in global temperature may cause the extinction of 25% of the Earth&#39;s animals and plants disappear. In this fearsome prospect, carbon emission was identified as the main factor contributing to this issue, and needed to be effectively controlled to mitigate their detrimental impacts on the environment as well as human life. GHG mitigation requires developing and implementing policies, and utilizing new technologies to reduce GHG. In this paper, we explore the role of smart technologies in reducing the carbon emission. With the increasing deployment of Smart water meters across Australia in the last five years, an intelligent and knowledge base system called Autoflow© has been developed to help: (i) monitor and predict carbon emission level from water consumption in realtime (e.g. Property A: Carbon emission from 6am-6pm tomorrow is 12.4kg), and (ii) suggest options for reducing water consumption and carbon emission. This Autoflow© system operates based on smart algorithms including Dynamic Time Warping, Hidden Markov Model, Dynamic Harmonic Regression and Artificial Neural Network, and has potential to go beyond Australian border in a very near future to help effectively sustain the limited water resource and environment around the word.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734289"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734289"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734289; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734289]").text(description); $(".js-view-count[data-work-id=125734289]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734289; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734289']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=125734289]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734289,"title":"Smart Technologies in Reducing Carbon Emission","internal_url":"https://www.academia.edu/125734289/Smart_Technologies_in_Reducing_Carbon_Emission","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734288"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734288/Digital_Multi_Utility_Data_for_Contemporaneous_Water_Electricity_Gas_End_Use_Categorization"><img alt="Research paper thumbnail of Digital Multi-Utility Data for Contemporaneous Water-Electricity-Gas End Use Categorization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734288/Digital_Multi_Utility_Data_for_Contemporaneous_Water_Electricity_Gas_End_Use_Categorization">Digital Multi-Utility Data for Contemporaneous Water-Electricity-Gas End Use Categorization</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The advent of advanced metering technologies combined with machine learning creates an opportunit...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The advent of advanced metering technologies combined with machine learning creates an opportunity to form digital multi-utility service providers. These service providers can concurrently collect a customers&#39; water, electricity and gas demand data and provide phone and web applications to disseminate this information back to utility professionals and customers. Service companies that can provide inexpensive integrated systems will derive benefits such as operational synergies and access to mass markets not bounded by historical city, state or country limits. This article provides a vision of an integrated multi-utility service provider covering the system architecture, barriers and strategies, and opportunities and benefits. The focus of paper is to demonstrate the data modelling processes and informatics opportunities for contemporaneously collected water, electricity and gas demand data. Moreover, a transformative R&amp;D framework is provided to realize this digital multi-utility future.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734288"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734288"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734288; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734288]").text(description); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734286"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734286/Drivers_and_barriers_to_the_deployment_of_pumped_hydro_energy_storage_applications_Systematic_literature_review"><img alt="Research paper thumbnail of Drivers and barriers to the deployment of pumped hydro energy storage applications: Systematic literature review" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734286/Drivers_and_barriers_to_the_deployment_of_pumped_hydro_energy_storage_applications_Systematic_literature_review">Drivers and barriers to the deployment of pumped hydro energy storage applications: Systematic literature review</a></div><div class="wp-workCard_item"><span>Cleaner engineering and technology</span><span>, Dec 1, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734286"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734286"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734286; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734286]").text(description); $(".js-view-count[data-work-id=125734286]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734286; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734286']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734285"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734285/Transitioning_to_smart_sustainable_tourist_accommodation_Service_innovation_results"><img alt="Research paper thumbnail of Transitioning to smart sustainable tourist accommodation: Service innovation results" class="work-thumbnail" src="https://attachments.academia-assets.com/119723231/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734285/Transitioning_to_smart_sustainable_tourist_accommodation_Service_innovation_results">Transitioning to smart sustainable tourist accommodation: Service innovation results</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Nov 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This research experiment is the first study to provide detailed insights into resource use by gue...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This research experiment is the first study to provide detailed insights into resource use by guests staying in self-contained B&B style accommodation. Self-contained accommodation is a neglected yet important sub-industry in the hospitality sector, as it represents the largest and fastest growing share of accommodation providers in many regions. The study provides valuable data from a smart metering system, collecting data every minute over four seasons and indicates sustainable consumption opportunities using renewable energy, guest behaviour change and eco-conservation. Our results reveal that guests, when exposed to sustainability advice and communication (i.e. Intervention Group), saved 27% electricity, 22% gas, 22% water and 10% firewood. Differences between Intervention and Control Groups were also observed in terms of daily peak consumption and seasonal patterns. There are further saving M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT 2 opportunities, but findings also highlight social practice complexities to navigate guests' individual thermal comfort knowledge and daily routines. Transitions can be achieved through advanced smart services for direct and indirect customer feedback and host training. This paper is the first to detail findings from smart meter monitoring using high resolution at tourist accommodation, providing new insights into social practices and analysis of water energy nexus.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="71998fb1b6cb613616e0b929ceaa033d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723231,"asset_id":125734285,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723231/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734285"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734285"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734285; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734284"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734284/Dynamic_modelling_of_Australian_rooftop_solar_photovoltaic_product_stewardship_transition"><img alt="Research paper thumbnail of Dynamic modelling of Australian rooftop solar photovoltaic product stewardship transition" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734284/Dynamic_modelling_of_Australian_rooftop_solar_photovoltaic_product_stewardship_transition">Dynamic modelling of Australian rooftop solar photovoltaic product stewardship transition</a></div><div class="wp-workCard_item"><span>Waste Management</span><span>, May 1, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">As rooftop solar photovoltaic (PV) adoption in Australia is exponentially growing in the past dec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">As rooftop solar photovoltaic (PV) adoption in Australia is exponentially growing in the past decade, there is a need to promote effective product stewardship for PV panels reaching their end-of-life (EoL). This paper presents the development of a System Dynamics (SD) model for managing EoL rooftop PV panels based on the circular economy concept. Four stages of the SD modelling process include problem scoping and variable identification, model conceptualisation, SD model development, and scenario analysis. Stakeholder engagement is central to this research as the system under study is underpinned by high uncertainties and limited data availability. Four socio-technical transition pathways examined in this study include market-driven growth, conservative development, shared responsibility, and disruptive change. The simulation results indicated an improvement of collection and recovery performance when a stringent product stewardship scheme is enabled and improvement of installers&#39; participation in the collection program. This study argued that a system of shared responsibility will be capable of balancing techno-economic motivations of stakeholders across the supply chain to participate in the recovery scheme, while being less disruptive to PV adoption. Under this scenario, a gradual change in regulatory requirements (e.g. recovery target and material recovery rate requirements) is introduced to allow a period of industry and market development.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734284"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734284"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734284; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734284]").text(description); $(".js-view-count[data-work-id=125734284]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734284; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734284']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=125734284]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734284,"title":"Dynamic modelling of Australian rooftop solar photovoltaic product stewardship transition","internal_url":"https://www.academia.edu/125734284/Dynamic_modelling_of_Australian_rooftop_solar_photovoltaic_product_stewardship_transition","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734283"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734283/A_clustering_solution_for_analyzing_residential_water_consumption_patterns"><img alt="Research paper thumbnail of A clustering solution for analyzing residential water consumption patterns" class="work-thumbnail" src="https://attachments.academia-assets.com/119723230/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734283/A_clustering_solution_for_analyzing_residential_water_consumption_patterns">A clustering solution for analyzing residential water consumption patterns</a></div><div class="wp-workCard_item"><span>Knowledge Based Systems</span><span>, Dec 1, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Water utility companies in urban areas face two major challenges: ensuring there is enough water ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Water utility companies in urban areas face two major challenges: ensuring there is enough water for everyone during prolonged drought and maintaining adequate water pressure during the hours of peak demand. These issues can be overcome by applying data analytics and machine learning to the data gathered from digital water meters. For water conservation and demand management strategies to be effective, utility companies need to gain a better understanding of consumer behaviours, habits and routines. To accomplish this goal, we adapted a clustering approach to reveal residential water consumption patterns within metered data. In the experiment, we used two data sets (engineered features data set as well as the times of use and weighted probabilities of use data set) based on the data collected over 10 months from 306 households in Melbourne, Australia. For the engineered features data set, first, we identified the number of optimal clusters. We then performed extensive experiments to find the best clustering approach in terms of performance evaluation and clustering quality. We chose the hierarchical agglomerative clustering technique based on the nature of the data and the objective of the study. We observed that for the engineered features data set, k-means is the best performing clustering technique after considering performance metrics. For the other data set, we found that the number of clusters varies based on the type of water-consumption event, type of day (i.e., weekday or weekend), profiling interval and probability of use. In addition, we observed that insight into tap-water usage could be used to determine the population's adaptation of hygiene practices in an unprecedented time, such as the COVID-19 pandemic. Finally, we recommend that future clustering studies also employ aligned socio-demographic data and other key features.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b8b4d002e8d1b1750a882d7aad0e1869" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723230,"asset_id":125734283,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723230/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734283"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734283"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734283; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734283]").text(description); $(".js-view-count[data-work-id=125734283]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734283; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734283']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b8b4d002e8d1b1750a882d7aad0e1869" } } $('.js-work-strip[data-work-id=125734283]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734283,"title":"A clustering solution for analyzing residential water consumption patterns","internal_url":"https://www.academia.edu/125734283/A_clustering_solution_for_analyzing_residential_water_consumption_patterns","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"TWpUa1hEVW1NdzliVzRna0xFS2pXNit3YTdncXR1djhjZ3FrY2sxRXpDMzJid3Vpb2xjVEVVZ20zSEprd2RQSy0tQmRaUHJ6b3p6Rmh4cnZYdUxFOUZUZz09--54f75cb8a7407d30e6bcfd7cd9e228d5a64bd0d4"},"attachments":[{"id":119723230,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723230/thumbnails/1.jpg","file_name":"Nguyen516424-Published.pdf","download_url":"https://www.academia.edu/attachments/119723230/download_file","bulk_download_file_name":"A_clustering_solution_for_analyzing_resi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723230/Nguyen516424-Published-libre.pdf?1732185407=\u0026response-content-disposition=attachment%3B+filename%3DA_clustering_solution_for_analyzing_resi.pdf\u0026Expires=1740788369\u0026Signature=Dk8xlvogWD5lg1EzSYdwpQoE8dhE8AwX1Iqc7wh8JZVFlpNPqftIga-frBVC5hs-mbOYKA2jFrPTjnBwrbPpy~jkxwLU83lZSk-kWd8qkWHAwbGUecpfqzWgtyITjXnMYGw0tksI-M-qz8dUoJ14EyEvQ~NMFa~Zr0RkTK8Cd2hZqXKX9wEWIT7qMynNpH3CMzvK-jHz9bKzg68FN2dF3V1ac0UO5TYRb5kx-hMI5TT4CJare7QEdBfRMIF0lwznde-7EkVQgnvrqDi~fptsSwYu~7XKJuEQX~VsBonbTzm4941lkm4Hm0umapLWAOT3oM8AaDyGojqEt9Btcs0YYA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734282"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734282/Adaptation_strategies_for_coral_reef_ecosystems_in_Small_Island_Developing_States_Integrated_modelling_of_local_pressures_and_long_term_climate_changes"><img alt="Research paper thumbnail of Adaptation strategies for coral reef ecosystems in Small Island Developing States: Integrated modelling of local pressures and long-term climate changes" class="work-thumbnail" src="https://attachments.academia-assets.com/119723248/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734282/Adaptation_strategies_for_coral_reef_ecosystems_in_Small_Island_Developing_States_Integrated_modelling_of_local_pressures_and_long_term_climate_changes">Adaptation strategies for coral reef ecosystems in Small Island Developing States: Integrated modelling of local pressures and long-term climate changes</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Apr 1, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Planning and decision-making vastly benefit from a holistic and systematic understanding of the l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Planning and decision-making vastly benefit from a holistic and systematic understanding of the longterm impacts of climate change and other non-climatic stressors on the health and resilience of coral reef ecosystems, and the efficacy of adaptation strategies and management interventions on mitigating these impacts and maintaining ecosystem condition and associated ecosystem service. This study reports on an approach to modelling coral reef stressors and possible adaptation interventions using the coral reef ecosystem of Port Resolution on Tanna Island, Vanuatu as the case study serving as a microcosm of endangered Pacific Small Island Developing States (SIDS). A novel participatory modelling framework was developed and followed in a stepwise manner to integrate local and long-term climate change pressures by coupling structural analysis and the Bayesian Network (BN) techniques. The BN model was quantified through an advanced consolidated data-induced, evidence-based, and expert-driven approach that incorporated: (1) projections of future climate conditions and changing human activities; (2) the influences of multiple stressors including physical environmental and sociological factors; and (3) spatial variability in the key processes and variables. The first and second phases conceptualised the whole system by providing a graphical presentation of system variables within the Driver-Pressure-State-Impact (DPSI) framework using the structural analysis technique. In the third phase, the BN technique was used to integrate the outcomes of multidisciplinary assessments and analysis with experts' opinion. The BN modelling phase was completed based on evidence extracted from literature which reported the results of regional and downscaled climate models, GIS-based analysis, parametrised data obtained from the region, and tacit knowledge elicited from experts. The validated model was employed to anticipate the future health and resilience condition of coral reefs under different sets of climatic trajectories and adaptive responses scenarios. The results predict the risks to the health and resilience of the Port Resolution coral reef system from the adverse impacts of climate change and harmful human activities and the possible success of adaptations strategies. A sobering conclusion was that despite the current satisfactory condition of coral reefs in the case study zone, their health and resilience would be severely threatened by 2070 in the absence of implementing adaptation strategies and associated sustainable management interventions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fcd2bf28ce4ab19c848fea5df5ca912e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723248,"asset_id":125734282,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723248/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734282"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734282"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734282; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fcd2bf28ce4ab19c848fea5df5ca912e" } } $('.js-work-strip[data-work-id=125734282]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734282,"title":"Adaptation strategies for coral reef ecosystems in Small Island Developing States: Integrated modelling of local pressures and long-term climate changes","internal_url":"https://www.academia.edu/125734282/Adaptation_strategies_for_coral_reef_ecosystems_in_Small_Island_Developing_States_Integrated_modelling_of_local_pressures_and_long_term_climate_changes","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"NjBXVU9HSVdCWE9kb0Nyb2UxMUJKdWxxWlZMTEROamJiOG9xWmRlU1l0RTVyT2RMVk8xaWI1RG5ldExmc0FGQy0tczJnSkhEQndBdmh2Y3VPSFMzR0ZuZz09--13b1f6ba5df0e593b6f2297abd6cd283502f44a5"},"attachments":[{"id":119723248,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723248/thumbnails/1.jpg","file_name":"hafezi_et_al_2020_coral_resilience_model_sids.pdf","download_url":"https://www.academia.edu/attachments/119723248/download_file","bulk_download_file_name":"Adaptation_strategies_for_coral_reef_eco.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723248/hafezi_et_al_2020_coral_resilience_model_sids-libre.pdf?1732185390=\u0026response-content-disposition=attachment%3B+filename%3DAdaptation_strategies_for_coral_reef_eco.pdf\u0026Expires=1740788369\u0026Signature=F9qoPwbHNGT2StymxZEQeUYFjryT13rzueCCMSkDwWFpiX6e2h72bbXMXZqj4sSmKLiCkT1xKPDIIO-suRUuH2tf2CyMq32IeJ7svPPJUqsWwOOaHf6mjC-pgdItj-ySz6BuUsm4TuQRo4OyHncOkDuZ-UM3r4twFw-H285wMe1eI8RFjX~552iGfI4RTcxfxbXyNugDBR7W5uQD~1Z7DDWDOqshQyDW09wFEAC6LYv-Ew7N8oUO6zKEz8ymZSF9St3vQHXR4OTE62dsjG6LLqNtB-sx6RiQAHBP5WQQYUWClREcwjMe8q-g2Gy~Fg0ZFR6IdQvwUQyfQcCnSgs8fw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734281"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734281/End_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_stakeholder_survey_in_Australia"><img alt="Research paper thumbnail of End-of-life management of solar photovoltaic and battery energy storage systems: A stakeholder survey in Australia" class="work-thumbnail" src="https://attachments.academia-assets.com/119723249/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734281/End_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_stakeholder_survey_in_Australia">End-of-life management of solar photovoltaic and battery energy storage systems: A stakeholder survey in Australia</a></div><div class="wp-workCard_item"><span>Resources Conservation and Recycling</span><span>, Nov 1, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this study, a preliminary list of drivers, barriers, and enablers to end-of-life management of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this study, a preliminary list of drivers, barriers, and enablers to end-of-life management of photovoltaic panels and battery energy storage systems obtained from a systematic literature review was firstly evaluated and then expanded through an iterative expert review process. Subsequently, a questionnaire survey was administered in Australia to elicit stakeholder perceptions on each driver, barrier, and enabler factor. A total of 57 complete responses was obtained. A two-step cluster analysis was performed to compare the perceived drivers, barriers, and enablers between four stakeholder categories including research/education institutions, product stewardship arrangement (PSA) parties, governments, and consultants. Findings indicated that there is a high degree of agreement among stakeholders on various drivers, barriers, and enablers; however, some factors exhibited differences. It appeared that all stakeholders were driven to address triple bottom line issues, however, research/education institutions put more emphasis on the economic and environmental drivers. Stakeholders reported the lack of profitability, unavailability of regulations and incentives, as well as a lack of awareness of safe disposal options, as being the most significant barriers. Only government respondents recognised the current lack of on-shore recycling infrastructures as a critical barrier. Introducing a product stewardship scheme, implementing business models for collection, economic incentives, as well as developing recycling technologies and infrastructures were regarded as the most important enablers. Policy and practice implications and recommendations were also discussed in this study.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9bbbd14c6d695f9efb1d28dc4bcbd120" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723249,"asset_id":125734281,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723249/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734281"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734281"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734281; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734281]").text(description); $(".js-view-count[data-work-id=125734281]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734281; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734281']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734280"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734280/Is_there_a_green_premium_in_the_green_bond_market_Systematic_literature_review_revealing_premium_determinants"><img alt="Research paper thumbnail of Is there a green premium in the green bond market? Systematic literature review revealing premium determinants" class="work-thumbnail" src="https://attachments.academia-assets.com/119723229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734280/Is_there_a_green_premium_in_the_green_bond_market_Systematic_literature_review_revealing_premium_determinants">Is there a green premium in the green bond market? Systematic literature review revealing premium determinants</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The green bond market is emerging as an impactful financing mechanism in climate change mitigatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The green bond market is emerging as an impactful financing mechanism in climate change mitigation efforts. Studies investigating this market have revealed the notion of a 'green premium' or 'greenium' within green bond pricing, including insights into influential characteristics and drivers that govern it. However, methodological heterogeneity among these studies has resulted in general ambiguity regarding a consensus over the existence of the green premium. This research addresses this gap through a systematic literature review with the aim of establishing a consensus on the existence, or nonexistence, of a green premium in the green bond market. The review examines studies published between 2007 and 2019. A ranking of the green bond characteristics most likely to exhibit a green premium is organised, including a framework of driving factors. The findings confirm a consensus on the existence of a green premium within 56% of primary and 70% of secondary market studies, particularly for those green bonds that are government issued, investment grade, and that follow defined green bond governance and reporting procedures. The green premium varies widely for the primary market; however, an average greenium of -1 to -9 basis points on the secondary market is observed. Overall, our findings highlight the crucial role of strengthening environmental preferences amongst bond market participants; including implications for bond pricing theory, by suggesting that future bond pricing should consider noneconomic motives of investors, such as environmental preferences; and, for future growth implications as a catalyst towards the financing of climate change mitigation efforts globally.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e99dbb92353327f761299bd09d6eb65" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723229,"asset_id":125734280,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723229/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734280"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734280"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734280; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734280]").text(description); $(".js-view-count[data-work-id=125734280]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734280; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734280']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4e99dbb92353327f761299bd09d6eb65" } } $('.js-work-strip[data-work-id=125734280]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734280,"title":"Is there a green premium in the green bond market? 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This tool was developed using data collected in several cities in Australia, and when applied on standalone properties, the achieved accuracy ranged from 86% and 96% in terms of number of correctly classified events. Taking advantage of the analysis results from Autoflow © , the aim of this study is to propose a short-term water demand forecasting model that not only allows water utilities to predict the overall and peak water demand of up to 24-hour ahead, but also obtain the disaggregated forecast volume of each end-use category. Based on the periodic pattern of the water consumption data, a state-space approach has been adopted whose components including trend, seasonal and external effect from temperature were all modelled as stochastic processes. In this model, Dynamic Harmonic Regression, Kalman Filter and Fixed Interval Smooth algorithms were employed for the estimation of all above-mentioned components. The model has been tested against datasets collected at different time of the year to estimate its efficiency as well as the impact of temperature on water consumption. The verification process has showed that the achieved R 2 for all testings are above 0.9 when undertaking forecast of up to 24-hour ahead, whilst the obtained Mean Absolute Percentage Error (MAPE) of the disaggregated forecast volume of each category most of the time lie below 5%. Further model testing is planned to be applied on 1200 new apartment buildings in the Commonwealth Games Village located in Gold Coast Australia to validate its efficiency. Once finished, the overall Autoflow © application will have significant impact in practice that allows the water utility to have detailed plan in moderating water demand along the day, or assist in optimising the pumping activities at the least required energy. Most importantly, the ability to determine and approximate the peak demand will allow utilities to have flexible solutions to solve the over-capacity problem, especially at old metropolitans where the demand far exceeds the supply capacity of the old existing distribution network.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a4a65cc84b9042d22d11d8e00f4120de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723247,"asset_id":125734279,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723247/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734279"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734279"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734279; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734279]").text(description); $(".js-view-count[data-work-id=125734279]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734279; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734279']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a4a65cc84b9042d22d11d8e00f4120de" } } $('.js-work-strip[data-work-id=125734279]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734279,"title":"Water demand forecasting with AUTOFLOW© using State-Space approach","internal_url":"https://www.academia.edu/125734279/Water_demand_forecasting_with_AUTOFLOW_using_State_Space_approach","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[{"id":119723247,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723247/thumbnails/1.jpg","file_name":"NguyenPUB1816.pdf","download_url":"https://www.academia.edu/attachments/119723247/download_file","bulk_download_file_name":"Water_demand_forecasting_with_AUTOFLOW_u.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723247/NguyenPUB1816-libre.pdf?1732185384=\u0026response-content-disposition=attachment%3B+filename%3DWater_demand_forecasting_with_AUTOFLOW_u.pdf\u0026Expires=1740871135\u0026Signature=GLNjp6ZygoVhpbDRVIXcylTCKa5nvgsg6TGD8AmVhyz-a4mb5YK9V7AntWdmjeZFc09LujoWtQbGfzZSdwDl95qUF37-EP30EfeHpPOei1wny9BO6LsEFg7UdisPMQbP2zvvOguIsauN~zBuSaoPxB9RaDaveLbMI6HczQ0lMx32MHbiaR~dXw5LHlI2WmJ977SaMpTjbuUo94nZopqtYF-ZKbnf7vzwBgzQktO9C7ErnIQLx-ge5znfaWnp3loucrAqxMW5-VJGn35VMcdraTSScfoO03Ccq0QLm10Aos8S1v7IYT3LZw1a7OOozeeCO9jh0zOWKS6pNhF4MsYFSQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734278"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734278/Systems_approach_to_end_of_life_management_of_residential_photovoltaic_panels_and_battery_energy_storage_system_in_Australia"><img alt="Research paper thumbnail of Systems approach to end-of-life management of residential photovoltaic panels and battery energy storage system in Australia" class="work-thumbnail" src="https://attachments.academia-assets.com/119723227/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734278/Systems_approach_to_end_of_life_management_of_residential_photovoltaic_panels_and_battery_energy_storage_system_in_Australia">Systems approach to end-of-life management of residential photovoltaic panels and battery energy storage system in Australia</a></div><div class="wp-workCard_item"><span>Renewable & Sustainable Energy Reviews</span><span>, Dec 1, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Understanding the complexities around managing the end-of-life (EoL) residential solar photovolta...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Understanding the complexities around managing the end-of-life (EoL) residential solar photovoltaic (PV) and battery energy storage systems (BESS) is a precursor to a better decision-making process that mitigates unintended product life-cycle impacts. In this paper, a participatory Systems Thinking approach was utilised to build a causal loop diagram (CLD) for this system based on the collective knowledge of stakeholders. The developed CLD was categorised into three sub-systems: (1) waste flows; (2) regulatory aspects; and (3) industry strategies and government incentives. Two main system archetypes were identified in a reflection to the CLD, namely fixes that fail and drifting goals. The identified feedback loops indicate the need to introduce a comprehensive national product stewardship scheme, complimentary landfill restrictions, and provide sufficient incentives to industries for promoting recovery activities within residential PV panels and BESS sectors. An effective waste management system for these renewable energy technologies is most effective if industries are required to participate through regulation which also specifies certain targets, such as product and material recovery rates and establishes a sustainable funding model to meet operational requirements and future needs. The increasingly prohibitive overseas waste export market will require local industries and governments to collaboratively improve domestic recycling capability and capacity. In this light, the failure to build an effective EoL management system for residential PV and BESS will result in valuable and hazardous materials in both technologies to be disposed of in the landfill, stockpiled or illegally dumped; consequently, reinforcing unintended and adverse environmental impacts.  Causal loop diagram mapped the complexity of EoL management system of PV and BESS.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a6b9e0cb58e1c8f2b3478c8052c2446" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723227,"asset_id":125734278,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723227/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734278"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734278"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734278; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734277"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734277/Identifying_and_Overcoming_Barriers_to_Collaborative_Sustainable_Water_Governance_in_Remote_Australian_Indigenous_Communities"><img alt="Research paper thumbnail of Identifying and Overcoming Barriers to Collaborative Sustainable Water Governance in Remote Australian Indigenous Communities" class="work-thumbnail" src="https://attachments.academia-assets.com/119723225/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734277/Identifying_and_Overcoming_Barriers_to_Collaborative_Sustainable_Water_Governance_in_Remote_Australian_Indigenous_Communities">Identifying and Overcoming Barriers to Collaborative Sustainable Water Governance in Remote Australian Indigenous Communities</a></div><div class="wp-workCard_item"><span>Water</span><span>, Nov 17, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Collaboration between government agencies and communities for sustainable water governance in rem...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Collaboration between government agencies and communities for sustainable water governance in remote Indigenous communities is espoused as a means to contribute to more equitable, robust, and long-term decision-making and to ensure that water services contribute to broader considerations of physical, social, and economic prosperity. In Australia, the uptake of collaborative water governance in remote Aboriginal and Torres Strait Island contexts has been slow and few examples exist from which to inform policy and practice. This study identifies barriers to uptake of collaborative sustainable water governance, drawing from qualitative interviews with water practitioners working in remote Indigenous Australia and analysis of key project documentation. Thematic analysis revealed discrete barriers across five key categories: (1) governance arrangements, (2) economic and financial, (3) capacity and skills, (4) data and information, and (5) cultural values and norms, with many barriers identified, unique to the remote Indigenous Australian context. The paper provides insights into how to address these barriers strategically to create transformative and sustainable change for Indigenous communities. The results contribute to the greater body of knowledge on sustainable and collaborative water governance, and they are of relevance for broader water management, policy, and research.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="456f6c9a456b469bb0d9384cfd1d6910" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723225,"asset_id":125734277,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723225/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734277"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734277"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734277; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734276"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734276/Examining_the_potential_for_energy_positive_bulk_water_infrastructure_to_provide_long_term_urban_water_security_A_systems_approach"><img alt="Research paper thumbnail of Examining the potential for energy-positive bulk-water infrastructure to provide long-term urban water security: A systems approach" class="work-thumbnail" src="https://attachments.academia-assets.com/119723224/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734276/Examining_the_potential_for_energy_positive_bulk_water_infrastructure_to_provide_long_term_urban_water_security_A_systems_approach">Examining the potential for energy-positive bulk-water infrastructure to provide long-term urban water security: A systems approach</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Feb 1, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Urban centres are increasingly requiring more water than existing groundwater and surface water s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Urban centres are increasingly requiring more water than existing groundwater and surface water sources can supply. Water authorities must consider energy intensive supply alternatives such as recycling and desalination, leading to a water-energy-climate conundrum. In this study, a systems perspective of the water-energy-climate nexus is applied to South-East Queensland (SEQ), Australia. Under a changing climate, SEQ is predicted to experience reduced reservoir inflows and increased evaporation rates, which will consequently lead to reduced water availability. To exacerbate this issue, anticipated high population growth in SEQ will increase water demand, putting even more stress on the traditional water supply sources. Clearly, there is a strong incentive to pursue solutions that increase water security without contributing to anthropogenic climate change. Using a system dynamics model, the water balance of the bulk water supply system is evaluated over a 100-year life cycle. The outputs of the model are used to investigate potential management and infrastructure options available to SEQ for adapting to increased water scarcity. The historical rainfall patterns of SEQ requires significant contingency to be built into surface water capacity in order to mitigate low rainfall years, and provide adequate water security. In contrast, reverse osmosis (RO) desalination plants do not require this excess capacity because they are rain-independent. However, RO has high energy consumption and associated greenhouse gas emissions when operating and their potential long periods of redundancy due to periods of sufficient surface water supplies remain unresolved issues. The model demonstrates that dual purpose pressure retarded osmosis desalination plants offer a potential solution, by providing water security at a lower cost than surface water reservoir augmentation, while offsetting energy use through renewable energy generation when RO plants would otherwise be sitting idle. Potentially this technology represents a future sustainable solution to overcome water security concerns.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="154e19d4e1fa47e9650ea79aafea04ec" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723224,"asset_id":125734276,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723224/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734276"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734276"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734276; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734276]").text(description); $(".js-view-count[data-work-id=125734276]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734276; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734276']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734275"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734275/Drivers_barriers_and_enablers_to_end_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_systematic_literature_review"><img alt="Research paper thumbnail of Drivers, barriers and enablers to end-of-life management of solar photovoltaic and battery energy storage systems: A systematic literature review" class="work-thumbnail" src="https://attachments.academia-assets.com/119723244/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734275/Drivers_barriers_and_enablers_to_end_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_systematic_literature_review">Drivers, barriers and enablers to end-of-life management of solar photovoltaic and battery energy storage systems: A systematic literature review</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Feb 1, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Distributed solar photovoltaic (PV) systems are a low-cost form of renewable energy technology th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Distributed solar photovoltaic (PV) systems are a low-cost form of renewable energy technology that has had an exponential rate of uptake globally in the last decade. However, little attention has been paid to the potential environmental and human health related impacts associated with PV systems, if not managed properly at the end-of-life (EoL). Rare materials such as ruthenium, gallium, indium, and tellurium are essential components in PV panels, while battery energy storage systems (BESS) are composed of various chemistries (i.e. lithium-ion, lead acid, nickel cadmium, salt water, and flow batteries). An appropriate EoL management strategy for solar photovoltaic systems (i.e. PV modules, BESS) is necessary, not only to prevent and/or mitigate future environmental problems but also to reduce demand on rare earth materials. Drawn from a portfolio of 191 papers collected from Scopus and Web of Science databases between 2000 and 2018 (by 30 June 2018), a systematic quantitative literature review on solar energy systems EoL studies was conducted to examine the temporal trend of current research as well as methodological and geographical distributions of the published articles. Research has been concentrated within Europe, some parts of Asia, and North America, with experimental and modelling/simulation methods being mostly applied. The focus of this study was to compile and synthesise reported drivers, barriers, and enablers to EoL management of PV panels and BESS in the context of the circular economy. A conceptual framework is proposed to facilitate the transition of current PV system material flows and supply chain management practices to circular economy concepts. This paper also presents a future research agenda.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="857240cf730a3b8a235c6114cd03200c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723244,"asset_id":125734275,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723244/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734275"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734275"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734275; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734275]").text(description); $(".js-view-count[data-work-id=125734275]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734275; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734275']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "857240cf730a3b8a235c6114cd03200c" } } $('.js-work-strip[data-work-id=125734275]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734275,"title":"Drivers, barriers and enablers to end-of-life management of solar photovoltaic and battery energy storage systems: A systematic literature review","internal_url":"https://www.academia.edu/125734275/Drivers_barriers_and_enablers_to_end_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_systematic_literature_review","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[{"id":119723244,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723244/thumbnails/1.jpg","file_name":"Journal_of_Cleaner_Production_Drivers_barriers_enablers_to_EOL_PV_cells_and_ESS_1118_EN.pdf","download_url":"https://www.academia.edu/attachments/119723244/download_file","bulk_download_file_name":"Drivers_barriers_and_enablers_to_end_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723244/Journal_of_Cleaner_Production_Drivers_barriers_enablers_to_EOL_PV_cells_and_ESS_1118_EN-libre.pdf?1732185393=\u0026response-content-disposition=attachment%3B+filename%3DDrivers_barriers_and_enablers_to_end_of.pdf\u0026Expires=1740871135\u0026Signature=PiLDUqzKu4gWVkxu-a~zLy6eSjvLVocZ0c4SHJZBDkdiQotGWkLvMB6SxNTcwz3WBYcKbLVFVR~uLQt2JIquyvvIoR~v5nxL1HdwZk3DRh8J5F9hTeBAqBLLzOxFK7a7cUuajPjSiD3A4cVewlh0oljLY1aQd8ozIu2WL5NT9kKoRKGN8lScNazarS81PMcLnvQTrIeQjJNwEGCYN1moq8ardgYP687WDUZCu3gRTj8lbymVKcYXLdiTl0Zjx5d~i0XkFvmuJ3vawUYAOVvudzN7JZ7qI91FuVvr8wFOJtT7ecb53Ih2aOo7i03TO9~8fw9FuI4K5lOhLSe52d09wQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734274"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734274/Green_building_split_incentives_and_affordable_rental_housing_policy"><img alt="Research paper thumbnail of Green building, split-incentives and affordable rental housing policy" class="work-thumbnail" src="https://attachments.academia-assets.com/119723222/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734274/Green_building_split_incentives_and_affordable_rental_housing_policy">Green building, split-incentives and affordable rental housing policy</a></div><div class="wp-workCard_item"><span>Housing Studies</span><span>, Oct 24, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigate the notion of capitalizing on investments in energy, water and gas efficiency with...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigate the notion of capitalizing on investments in energy, water and gas efficiency within the context of affordable rental housing subsidy schemes; how associated utility savings offer a means to deliver policy designed to mitigate for issues of split-incentives. An Australian case study representing a typical affordable housing development is analyzed for two scenarios -a 'Business as usual' and 'Green-certified' case. Over a 10-year rental tenancy, operational utility efficiencies, achieved through green building principles are modelled to reduce total housing costs by 1.7-3.8% (AUD $5-18 per week), for one-and four-person households, respectively. Over the building lifecycle, the net present value of improvements are forecasted to be positive, signalling favourable support for policy interventions. The findings provide evidence to support a broader notion of 'housing assistance' to one that includes improved standards on residential utility efficiency. We present three policy options on how to deliver these benefits to stakeholders.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9a9a2d9ccc3cee0a25d9344867896a85" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723222,"asset_id":125734274,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723222/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734274"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734274"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734274; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9a9a2d9ccc3cee0a25d9344867896a85" } } $('.js-work-strip[data-work-id=125734274]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734274,"title":"Green building, split-incentives and affordable rental housing policy","internal_url":"https://www.academia.edu/125734274/Green_building_split_incentives_and_affordable_rental_housing_policy","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"K1U5VmhHZkRZUTd4RjQ0Uk1rMkVZOHNVNWVjMy8vSUlITEFiZ1htZXNYbnZJN2VrWW5rZGU1Vm8xa2Y4UGlCeC0tRG5ZVlh3UzV5TTZyVHRlQnp1STFaUT09--2dc90de17ad9a12a3dd79ae01657e60d4bdaca91"},"attachments":[{"id":119723222,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723222/thumbnails/1.jpg","file_name":"MacAskill266139Accepted.pdf","download_url":"https://www.academia.edu/attachments/119723222/download_file","bulk_download_file_name":"Green_building_split_incentives_and_affo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723222/MacAskill266139Accepted-libre.pdf?1732185390=\u0026response-content-disposition=attachment%3B+filename%3DGreen_building_split_incentives_and_affo.pdf\u0026Expires=1740788370\u0026Signature=EbqZ38yy0o7fNS4o-XTof5hYkQNwQgsXhlQvUiohwLoy8UShwzemrksaobRBVcNAr0exSddAH-h0VMWwa-OmNca2v7KFGCHBSviJFMdyyKeDcwncwYvHKHqrSgZ8s1T3VgCy8vj-wUZxABUKxh87JMouQGI1hMqDNsok9Uc8ULqE4fx1eJC6K0oq-wc9WUeb7g0JA2XYLfH-sOTwEkOyQfwK25YSiVNrN-vuB38JukDdto0jdW-n8jQ3kEX4bsixgO4moG86GtZOiBujomHVhh4pvWJ5R2i5evrHHQtEq4psGWgGQ8wE2ZW8kPzuNU4s3LlaSdrV1RH6gMd8MaGvUQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":119723223,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723223/thumbnails/1.jpg","file_name":"MacAskill266139Accepted.pdf","download_url":"https://www.academia.edu/attachments/119723223/download_file","bulk_download_file_name":"Green_building_split_incentives_and_affo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723223/MacAskill266139Accepted-libre.pdf?1732185393=\u0026response-content-disposition=attachment%3B+filename%3DGreen_building_split_incentives_and_affo.pdf\u0026Expires=1740788370\u0026Signature=gDRYz706hZEOO7K9zZJn5OkGt3tJjlWyH9Y9zYjFAqXDEVRki8aVjmaUsAecH8hXPVSj7FLfWkRezbrcKb0w5nf9Qa9gdhBBR5Dguw1OmL36RU4OKBleEjCyrWavEOqqITNyBbGqhZ4pgL~HYy9Fz0NiI9duXnusvEQ2qJA6cqWEHmFUwTSXVf6tBQqZsxxttP8TUs1vCc~irzuh81SLUgaTg0WPbr8BIbJPDCq5eYQrBo5Zos3Gyi9jKrGv87qOPvSTJ2VoWP3UO1xTWdz-Y~g66UnAg3~tYue9BMchJZZ7bLSU22~EmyEl24QyV1L2ZdvdDXjw5XT1CgVPH--seQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734273"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734273/The_determinants_of_household_water_consumption_A_review_and_assessment_framework_for_research_and_practice"><img alt="Research paper thumbnail of The determinants of household water consumption: A review and assessment framework for research and practice" class="work-thumbnail" src="https://attachments.academia-assets.com/119723219/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734273/The_determinants_of_household_water_consumption_A_review_and_assessment_framework_for_research_and_practice">The determinants of household water consumption: A review and assessment framework for research and practice</a></div><div class="wp-workCard_item"><span>npj clean water</span><span>, Feb 20, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Achieving a thorough understanding of the determinants of household water consumption is crucial ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Achieving a thorough understanding of the determinants of household water consumption is crucial to support demand management strategies. Yet, existing research on household water consumption determinants is often limited to specific case studies, with findings that are difficult to generalize and not conclusive. Here, we first contribute an updated framework for review, classification, and analysis of the literature on the determinants of household water consumption. Our framework allows trade-off analysis of different criteria that account for the representation of a potential water consumption determinant in the literature, its impact across heterogeneous case studies, and the effort required to collect information on it. We then review a comprehensive set of 48 publications with our proposed framework. The results of our trade-off analysis show that distinct groups of determinants exist, allowing for the formulation of recommendations for practitioners and researchers on which determinants to consider in practice and prioritize in future research.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="621c1621bd80e04bf446bf48c3b10c3f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723219,"asset_id":125734273,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723219/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734273"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734273"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734273; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734272"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734272/Understanding_non_registration_in_domestic_water_meters_Implications_for_meter_replacement_strategies"><img alt="Research paper thumbnail of Understanding non-registration in domestic water meters: Implications for meter replacement strategies" class="work-thumbnail" src="https://attachments.academia-assets.com/119723218/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734272/Understanding_non_registration_in_domestic_water_meters_Implications_for_meter_replacement_strategies">Understanding non-registration in domestic water meters: Implications for meter replacement strategies</a></div><div class="wp-workCard_item"><span>Water</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Understanding elements of non-revenue water (NRW) has become more critical in an era where urban ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Understanding elements of non-revenue water (NRW) has become more critical in an era where urban water has a rapidly increasing value. Meter under-and over-registration of flows has received considerable research attention over the years, but there has been limited focus on non-registration, particularly for domestic water meters over their life cycle. This paper presents empirical estimates on nonregistration for typically installed domestic water meters and emphasises that both under-and non-registration should be considered for any meter replacement assessments and associated policies. Economic modelling showed that domestic water meters should be replaced at lower throughput volumes when considering both of these meter inaccuracy categories. The key value of the paper is that it provides a methodology for determining nonregistration for a fleet of domestic meters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="819a672ab04adafd02076b274b352c37" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723218,"asset_id":125734272,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723218/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734272"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734272"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734272; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "819a672ab04adafd02076b274b352c37" } } $('.js-work-strip[data-work-id=125734272]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734272,"title":"Understanding non-registration in domestic water meters: Implications for meter replacement strategies","internal_url":"https://www.academia.edu/125734272/Understanding_non_registration_in_domestic_water_meters_Implications_for_meter_replacement_strategies","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"ZzlqT01CWlV4Y09hUWFiNWdFUUtZTkVYV1JTMnNjemdIQlI2NzZTS3M1YWpuN3ZTaXZZMk5FR0xvZmhhZXJIci0tSVhIZkFEZTNGVTdOWlpzanI3Q0FUdz09--be519b996c35a8434dda669c1d6929725800da90"},"attachments":[{"id":119723218,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723218/thumbnails/1.jpg","file_name":"82792_1.pdf","download_url":"https://www.academia.edu/attachments/119723218/download_file","bulk_download_file_name":"Understanding_non_registration_in_domest.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723218/82792_1-libre.pdf?1732185387=\u0026response-content-disposition=attachment%3B+filename%3DUnderstanding_non_registration_in_domest.pdf\u0026Expires=1740788370\u0026Signature=BMBf~ud3gMCABLngUS9iXqGQer5MbfaB8Ud-cDaL-9X5wVBFjmNVziEYMmhR6~CZvjroNvd4wVylHYR-KA9mYPtTcE87Va-bjXMD4nB0pJ~uk-6FbTPznOJpP4SpIyvlGzEPLxS6Fl76HTLU2N43xeGWD0f5~PWnJHPisr5xZunLnrTi3YAx~U3I2O2kQJ8hVCw-G1Gzaefe7i~GvJwhl7VCK7-RGXENfoRsJgqUa4wP55iPiWr60GLpztlchRkXEKEFZ02Bkd0hI-gh7mEDPGvNMVsmn7y89Vk6NRSGJN9wCPFW2qT7JCuOYjf66kNcfFTG7ZFGzkkVzjx6JRIfcg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":119723220,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723220/thumbnails/1.jpg","file_name":"82792_1.pdf","download_url":"https://www.academia.edu/attachments/119723220/download_file","bulk_download_file_name":"Understanding_non_registration_in_domest.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723220/82792_1-libre.pdf?1732185387=\u0026response-content-disposition=attachment%3B+filename%3DUnderstanding_non_registration_in_domest.pdf\u0026Expires=1740788370\u0026Signature=WNDlZKbzfEMgQkFurcFG~CO7lGfN0Y~kC4bsiOCAQ7aFoC80Sb6sFFNl8~AULRwWfWq8DbDDPr5hbQfaELUYN2~LkONKsb2043ffFNDhd9thanXF57U3jiz5~lz98LcTdGwvOaH6X49Auwho6mKUodNtRSHIxAAiz-cCnfWUzq8YOyWD97X5LLfoXLBrTPHw3dzxTSNvXureFuomDtB0Oq-7Oirc4~bGFL68oO-dvYGuTEORzChtKwmZzIH1jv5jgGmKacgIENbADr7quhSO1zUHOMIRcuvHvK8BIp8h2YZ78wKIK8jqT4j9TwNt8NnAyMW~BxXUWsvOR9ek3HJEVQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734271"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734271/Gold_Coast_Domestic_Water_End_Use_Study"><img alt="Research paper thumbnail of Gold Coast Domestic Water End Use Study" class="work-thumbnail" src="https://attachments.academia-assets.com/119723217/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734271/Gold_Coast_Domestic_Water_End_Use_Study">Gold Coast Domestic Water End Use Study</a></div><div class="wp-workCard_item"><span>Water</span><span>, Sep 1, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents the preliminary findings of the Gold Coast Watersaver End Use Project which w...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents the preliminary findings of the Gold Coast Watersaver End Use Project which was conducted in winter 2008, for 151 homes on the Gold Coast, Australia. Specifically, the paper includes a break down of water end use consumption data, compares this with results of previous national studies, and explores the degree of influence of household socioeconomic regions on end use. Two highly variable water end use distributions, namely shower and irrigation, were examined in detail, clustered and are discussed herein. The paper concludes with a brief description of the greater ongoing research program.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4bf4997a3f7a0b2b7ec86acbed83d3f4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723217,"asset_id":125734271,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723217/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734271"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734271"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734271; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734270"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734270/Remote_Diagnosis_of_Leakage_in_Residential_Households"><img alt="Research paper thumbnail of Remote Diagnosis of Leakage in Residential Households" class="work-thumbnail" src="https://attachments.academia-assets.com/119723215/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734270/Remote_Diagnosis_of_Leakage_in_Residential_Households">Remote Diagnosis of Leakage in Residential Households</a></div><div class="wp-workCard_item"><span>Water</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Wide Bay Water Corporation is in the process of implementing automated meter reading technology i...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Wide Bay Water Corporation is in the process of implementing automated meter reading technology in their water network. This technology allows the remote measurement and evaluation of water consumption at a residential and commercial level using a FIREFLY ® data logger and Commstar software. By using the FIREFLY ® , water usage patterns can be recorded each hour and stored for collection via a drive-by system. This paper presents the findings from a pilot study in Hervey Bay Queensland that Wide Bay Water Corporation has undertaken in conjunction with Griffith University. The objective was to identify household water leakage in residential properties located within a selected district metered area (DMA). Research outcomes include a water use profile of the metered residential properties, the types of leaks encountered and the cost of leak repairs. At the commencement of the program it was found that 2% of the meters accounted for 24% of the night time consumption. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="10748789" id="papers"><div class="js-work-strip profile--work_container" data-work-id="125734289"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734289/Smart_Technologies_in_Reducing_Carbon_Emission"><img alt="Research paper thumbnail of Smart Technologies in Reducing Carbon Emission" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734289/Smart_Technologies_in_Reducing_Carbon_Emission">Smart Technologies in Reducing Carbon Emission</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Global warming caused by greenhouse gases (GHG) is regarded as one of the biggest threats facing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Global warming caused by greenhouse gases (GHG) is regarded as one of the biggest threats facing our world. Climate scientists predict that a 1.5°C rise in global temperature may cause the extinction of 25% of the Earth&#39;s animals and plants disappear. In this fearsome prospect, carbon emission was identified as the main factor contributing to this issue, and needed to be effectively controlled to mitigate their detrimental impacts on the environment as well as human life. GHG mitigation requires developing and implementing policies, and utilizing new technologies to reduce GHG. In this paper, we explore the role of smart technologies in reducing the carbon emission. With the increasing deployment of Smart water meters across Australia in the last five years, an intelligent and knowledge base system called Autoflow© has been developed to help: (i) monitor and predict carbon emission level from water consumption in realtime (e.g. Property A: Carbon emission from 6am-6pm tomorrow is 12.4kg), and (ii) suggest options for reducing water consumption and carbon emission. This Autoflow© system operates based on smart algorithms including Dynamic Time Warping, Hidden Markov Model, Dynamic Harmonic Regression and Artificial Neural Network, and has potential to go beyond Australian border in a very near future to help effectively sustain the limited water resource and environment around the word.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734289"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734289"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734289; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734289]").text(description); $(".js-view-count[data-work-id=125734289]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734289; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734289']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=125734289]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734289,"title":"Smart Technologies in Reducing Carbon Emission","internal_url":"https://www.academia.edu/125734289/Smart_Technologies_in_Reducing_Carbon_Emission","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734288"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734288/Digital_Multi_Utility_Data_for_Contemporaneous_Water_Electricity_Gas_End_Use_Categorization"><img alt="Research paper thumbnail of Digital Multi-Utility Data for Contemporaneous Water-Electricity-Gas End Use Categorization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734288/Digital_Multi_Utility_Data_for_Contemporaneous_Water_Electricity_Gas_End_Use_Categorization">Digital Multi-Utility Data for Contemporaneous Water-Electricity-Gas End Use Categorization</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The advent of advanced metering technologies combined with machine learning creates an opportunit...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The advent of advanced metering technologies combined with machine learning creates an opportunity to form digital multi-utility service providers. These service providers can concurrently collect a customers&#39; water, electricity and gas demand data and provide phone and web applications to disseminate this information back to utility professionals and customers. Service companies that can provide inexpensive integrated systems will derive benefits such as operational synergies and access to mass markets not bounded by historical city, state or country limits. This article provides a vision of an integrated multi-utility service provider covering the system architecture, barriers and strategies, and opportunities and benefits. The focus of paper is to demonstrate the data modelling processes and informatics opportunities for contemporaneously collected water, electricity and gas demand data. Moreover, a transformative R&amp;D framework is provided to realize this digital multi-utility future.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734288"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734288"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734288; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734288]").text(description); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734286"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734286/Drivers_and_barriers_to_the_deployment_of_pumped_hydro_energy_storage_applications_Systematic_literature_review"><img alt="Research paper thumbnail of Drivers and barriers to the deployment of pumped hydro energy storage applications: Systematic literature review" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734286/Drivers_and_barriers_to_the_deployment_of_pumped_hydro_energy_storage_applications_Systematic_literature_review">Drivers and barriers to the deployment of pumped hydro energy storage applications: Systematic literature review</a></div><div class="wp-workCard_item"><span>Cleaner engineering and technology</span><span>, Dec 1, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734286"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734286"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734286; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734286]").text(description); $(".js-view-count[data-work-id=125734286]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734286; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734286']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734285"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734285/Transitioning_to_smart_sustainable_tourist_accommodation_Service_innovation_results"><img alt="Research paper thumbnail of Transitioning to smart sustainable tourist accommodation: Service innovation results" class="work-thumbnail" src="https://attachments.academia-assets.com/119723231/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734285/Transitioning_to_smart_sustainable_tourist_accommodation_Service_innovation_results">Transitioning to smart sustainable tourist accommodation: Service innovation results</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Nov 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This research experiment is the first study to provide detailed insights into resource use by gue...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This research experiment is the first study to provide detailed insights into resource use by guests staying in self-contained B&B style accommodation. Self-contained accommodation is a neglected yet important sub-industry in the hospitality sector, as it represents the largest and fastest growing share of accommodation providers in many regions. The study provides valuable data from a smart metering system, collecting data every minute over four seasons and indicates sustainable consumption opportunities using renewable energy, guest behaviour change and eco-conservation. Our results reveal that guests, when exposed to sustainability advice and communication (i.e. Intervention Group), saved 27% electricity, 22% gas, 22% water and 10% firewood. Differences between Intervention and Control Groups were also observed in terms of daily peak consumption and seasonal patterns. There are further saving M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT 2 opportunities, but findings also highlight social practice complexities to navigate guests' individual thermal comfort knowledge and daily routines. Transitions can be achieved through advanced smart services for direct and indirect customer feedback and host training. This paper is the first to detail findings from smart meter monitoring using high resolution at tourist accommodation, providing new insights into social practices and analysis of water energy nexus.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="71998fb1b6cb613616e0b929ceaa033d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723231,"asset_id":125734285,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723231/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734285"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734285"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734285; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734284"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125734284/Dynamic_modelling_of_Australian_rooftop_solar_photovoltaic_product_stewardship_transition"><img alt="Research paper thumbnail of Dynamic modelling of Australian rooftop solar photovoltaic product stewardship transition" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125734284/Dynamic_modelling_of_Australian_rooftop_solar_photovoltaic_product_stewardship_transition">Dynamic modelling of Australian rooftop solar photovoltaic product stewardship transition</a></div><div class="wp-workCard_item"><span>Waste Management</span><span>, May 1, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">As rooftop solar photovoltaic (PV) adoption in Australia is exponentially growing in the past dec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">As rooftop solar photovoltaic (PV) adoption in Australia is exponentially growing in the past decade, there is a need to promote effective product stewardship for PV panels reaching their end-of-life (EoL). This paper presents the development of a System Dynamics (SD) model for managing EoL rooftop PV panels based on the circular economy concept. Four stages of the SD modelling process include problem scoping and variable identification, model conceptualisation, SD model development, and scenario analysis. Stakeholder engagement is central to this research as the system under study is underpinned by high uncertainties and limited data availability. Four socio-technical transition pathways examined in this study include market-driven growth, conservative development, shared responsibility, and disruptive change. The simulation results indicated an improvement of collection and recovery performance when a stringent product stewardship scheme is enabled and improvement of installers&#39; participation in the collection program. This study argued that a system of shared responsibility will be capable of balancing techno-economic motivations of stakeholders across the supply chain to participate in the recovery scheme, while being less disruptive to PV adoption. Under this scenario, a gradual change in regulatory requirements (e.g. recovery target and material recovery rate requirements) is introduced to allow a period of industry and market development.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734284"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734284"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734284; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734284]").text(description); $(".js-view-count[data-work-id=125734284]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734284; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734284']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=125734284]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734284,"title":"Dynamic modelling of Australian rooftop solar photovoltaic product stewardship transition","internal_url":"https://www.academia.edu/125734284/Dynamic_modelling_of_Australian_rooftop_solar_photovoltaic_product_stewardship_transition","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734283"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734283/A_clustering_solution_for_analyzing_residential_water_consumption_patterns"><img alt="Research paper thumbnail of A clustering solution for analyzing residential water consumption patterns" class="work-thumbnail" src="https://attachments.academia-assets.com/119723230/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734283/A_clustering_solution_for_analyzing_residential_water_consumption_patterns">A clustering solution for analyzing residential water consumption patterns</a></div><div class="wp-workCard_item"><span>Knowledge Based Systems</span><span>, Dec 1, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Water utility companies in urban areas face two major challenges: ensuring there is enough water ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Water utility companies in urban areas face two major challenges: ensuring there is enough water for everyone during prolonged drought and maintaining adequate water pressure during the hours of peak demand. These issues can be overcome by applying data analytics and machine learning to the data gathered from digital water meters. For water conservation and demand management strategies to be effective, utility companies need to gain a better understanding of consumer behaviours, habits and routines. To accomplish this goal, we adapted a clustering approach to reveal residential water consumption patterns within metered data. In the experiment, we used two data sets (engineered features data set as well as the times of use and weighted probabilities of use data set) based on the data collected over 10 months from 306 households in Melbourne, Australia. For the engineered features data set, first, we identified the number of optimal clusters. We then performed extensive experiments to find the best clustering approach in terms of performance evaluation and clustering quality. We chose the hierarchical agglomerative clustering technique based on the nature of the data and the objective of the study. We observed that for the engineered features data set, k-means is the best performing clustering technique after considering performance metrics. For the other data set, we found that the number of clusters varies based on the type of water-consumption event, type of day (i.e., weekday or weekend), profiling interval and probability of use. In addition, we observed that insight into tap-water usage could be used to determine the population's adaptation of hygiene practices in an unprecedented time, such as the COVID-19 pandemic. Finally, we recommend that future clustering studies also employ aligned socio-demographic data and other key features.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b8b4d002e8d1b1750a882d7aad0e1869" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723230,"asset_id":125734283,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723230/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734283"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734283"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734283; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734283]").text(description); $(".js-view-count[data-work-id=125734283]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734283; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734283']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b8b4d002e8d1b1750a882d7aad0e1869" } } $('.js-work-strip[data-work-id=125734283]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734283,"title":"A clustering solution for analyzing residential water consumption patterns","internal_url":"https://www.academia.edu/125734283/A_clustering_solution_for_analyzing_residential_water_consumption_patterns","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"TWpUa1hEVW1NdzliVzRna0xFS2pXNit3YTdncXR1djhjZ3FrY2sxRXpDMzJid3Vpb2xjVEVVZ20zSEprd2RQSy0tQmRaUHJ6b3p6Rmh4cnZYdUxFOUZUZz09--54f75cb8a7407d30e6bcfd7cd9e228d5a64bd0d4"},"attachments":[{"id":119723230,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723230/thumbnails/1.jpg","file_name":"Nguyen516424-Published.pdf","download_url":"https://www.academia.edu/attachments/119723230/download_file","bulk_download_file_name":"A_clustering_solution_for_analyzing_resi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723230/Nguyen516424-Published-libre.pdf?1732185407=\u0026response-content-disposition=attachment%3B+filename%3DA_clustering_solution_for_analyzing_resi.pdf\u0026Expires=1740788369\u0026Signature=Dk8xlvogWD5lg1EzSYdwpQoE8dhE8AwX1Iqc7wh8JZVFlpNPqftIga-frBVC5hs-mbOYKA2jFrPTjnBwrbPpy~jkxwLU83lZSk-kWd8qkWHAwbGUecpfqzWgtyITjXnMYGw0tksI-M-qz8dUoJ14EyEvQ~NMFa~Zr0RkTK8Cd2hZqXKX9wEWIT7qMynNpH3CMzvK-jHz9bKzg68FN2dF3V1ac0UO5TYRb5kx-hMI5TT4CJare7QEdBfRMIF0lwznde-7EkVQgnvrqDi~fptsSwYu~7XKJuEQX~VsBonbTzm4941lkm4Hm0umapLWAOT3oM8AaDyGojqEt9Btcs0YYA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734282"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734282/Adaptation_strategies_for_coral_reef_ecosystems_in_Small_Island_Developing_States_Integrated_modelling_of_local_pressures_and_long_term_climate_changes"><img alt="Research paper thumbnail of Adaptation strategies for coral reef ecosystems in Small Island Developing States: Integrated modelling of local pressures and long-term climate changes" class="work-thumbnail" src="https://attachments.academia-assets.com/119723248/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734282/Adaptation_strategies_for_coral_reef_ecosystems_in_Small_Island_Developing_States_Integrated_modelling_of_local_pressures_and_long_term_climate_changes">Adaptation strategies for coral reef ecosystems in Small Island Developing States: Integrated modelling of local pressures and long-term climate changes</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Apr 1, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Planning and decision-making vastly benefit from a holistic and systematic understanding of the l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Planning and decision-making vastly benefit from a holistic and systematic understanding of the longterm impacts of climate change and other non-climatic stressors on the health and resilience of coral reef ecosystems, and the efficacy of adaptation strategies and management interventions on mitigating these impacts and maintaining ecosystem condition and associated ecosystem service. This study reports on an approach to modelling coral reef stressors and possible adaptation interventions using the coral reef ecosystem of Port Resolution on Tanna Island, Vanuatu as the case study serving as a microcosm of endangered Pacific Small Island Developing States (SIDS). A novel participatory modelling framework was developed and followed in a stepwise manner to integrate local and long-term climate change pressures by coupling structural analysis and the Bayesian Network (BN) techniques. The BN model was quantified through an advanced consolidated data-induced, evidence-based, and expert-driven approach that incorporated: (1) projections of future climate conditions and changing human activities; (2) the influences of multiple stressors including physical environmental and sociological factors; and (3) spatial variability in the key processes and variables. The first and second phases conceptualised the whole system by providing a graphical presentation of system variables within the Driver-Pressure-State-Impact (DPSI) framework using the structural analysis technique. In the third phase, the BN technique was used to integrate the outcomes of multidisciplinary assessments and analysis with experts' opinion. The BN modelling phase was completed based on evidence extracted from literature which reported the results of regional and downscaled climate models, GIS-based analysis, parametrised data obtained from the region, and tacit knowledge elicited from experts. The validated model was employed to anticipate the future health and resilience condition of coral reefs under different sets of climatic trajectories and adaptive responses scenarios. The results predict the risks to the health and resilience of the Port Resolution coral reef system from the adverse impacts of climate change and harmful human activities and the possible success of adaptations strategies. A sobering conclusion was that despite the current satisfactory condition of coral reefs in the case study zone, their health and resilience would be severely threatened by 2070 in the absence of implementing adaptation strategies and associated sustainable management interventions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fcd2bf28ce4ab19c848fea5df5ca912e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723248,"asset_id":125734282,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723248/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734282"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734282"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734282; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fcd2bf28ce4ab19c848fea5df5ca912e" } } $('.js-work-strip[data-work-id=125734282]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734282,"title":"Adaptation strategies for coral reef ecosystems in Small Island Developing States: Integrated modelling of local pressures and long-term climate changes","internal_url":"https://www.academia.edu/125734282/Adaptation_strategies_for_coral_reef_ecosystems_in_Small_Island_Developing_States_Integrated_modelling_of_local_pressures_and_long_term_climate_changes","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"NjBXVU9HSVdCWE9kb0Nyb2UxMUJKdWxxWlZMTEROamJiOG9xWmRlU1l0RTVyT2RMVk8xaWI1RG5ldExmc0FGQy0tczJnSkhEQndBdmh2Y3VPSFMzR0ZuZz09--13b1f6ba5df0e593b6f2297abd6cd283502f44a5"},"attachments":[{"id":119723248,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723248/thumbnails/1.jpg","file_name":"hafezi_et_al_2020_coral_resilience_model_sids.pdf","download_url":"https://www.academia.edu/attachments/119723248/download_file","bulk_download_file_name":"Adaptation_strategies_for_coral_reef_eco.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723248/hafezi_et_al_2020_coral_resilience_model_sids-libre.pdf?1732185390=\u0026response-content-disposition=attachment%3B+filename%3DAdaptation_strategies_for_coral_reef_eco.pdf\u0026Expires=1740788369\u0026Signature=F9qoPwbHNGT2StymxZEQeUYFjryT13rzueCCMSkDwWFpiX6e2h72bbXMXZqj4sSmKLiCkT1xKPDIIO-suRUuH2tf2CyMq32IeJ7svPPJUqsWwOOaHf6mjC-pgdItj-ySz6BuUsm4TuQRo4OyHncOkDuZ-UM3r4twFw-H285wMe1eI8RFjX~552iGfI4RTcxfxbXyNugDBR7W5uQD~1Z7DDWDOqshQyDW09wFEAC6LYv-Ew7N8oUO6zKEz8ymZSF9St3vQHXR4OTE62dsjG6LLqNtB-sx6RiQAHBP5WQQYUWClREcwjMe8q-g2Gy~Fg0ZFR6IdQvwUQyfQcCnSgs8fw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734281"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734281/End_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_stakeholder_survey_in_Australia"><img alt="Research paper thumbnail of End-of-life management of solar photovoltaic and battery energy storage systems: A stakeholder survey in Australia" class="work-thumbnail" src="https://attachments.academia-assets.com/119723249/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734281/End_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_stakeholder_survey_in_Australia">End-of-life management of solar photovoltaic and battery energy storage systems: A stakeholder survey in Australia</a></div><div class="wp-workCard_item"><span>Resources Conservation and Recycling</span><span>, Nov 1, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this study, a preliminary list of drivers, barriers, and enablers to end-of-life management of...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this study, a preliminary list of drivers, barriers, and enablers to end-of-life management of photovoltaic panels and battery energy storage systems obtained from a systematic literature review was firstly evaluated and then expanded through an iterative expert review process. Subsequently, a questionnaire survey was administered in Australia to elicit stakeholder perceptions on each driver, barrier, and enabler factor. A total of 57 complete responses was obtained. A two-step cluster analysis was performed to compare the perceived drivers, barriers, and enablers between four stakeholder categories including research/education institutions, product stewardship arrangement (PSA) parties, governments, and consultants. Findings indicated that there is a high degree of agreement among stakeholders on various drivers, barriers, and enablers; however, some factors exhibited differences. It appeared that all stakeholders were driven to address triple bottom line issues, however, research/education institutions put more emphasis on the economic and environmental drivers. Stakeholders reported the lack of profitability, unavailability of regulations and incentives, as well as a lack of awareness of safe disposal options, as being the most significant barriers. Only government respondents recognised the current lack of on-shore recycling infrastructures as a critical barrier. Introducing a product stewardship scheme, implementing business models for collection, economic incentives, as well as developing recycling technologies and infrastructures were regarded as the most important enablers. Policy and practice implications and recommendations were also discussed in this study.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9bbbd14c6d695f9efb1d28dc4bcbd120" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723249,"asset_id":125734281,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723249/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734281"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734281"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734281; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734281]").text(description); $(".js-view-count[data-work-id=125734281]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734281; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734281']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734280"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734280/Is_there_a_green_premium_in_the_green_bond_market_Systematic_literature_review_revealing_premium_determinants"><img alt="Research paper thumbnail of Is there a green premium in the green bond market? Systematic literature review revealing premium determinants" class="work-thumbnail" src="https://attachments.academia-assets.com/119723229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734280/Is_there_a_green_premium_in_the_green_bond_market_Systematic_literature_review_revealing_premium_determinants">Is there a green premium in the green bond market? Systematic literature review revealing premium determinants</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The green bond market is emerging as an impactful financing mechanism in climate change mitigatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The green bond market is emerging as an impactful financing mechanism in climate change mitigation efforts. Studies investigating this market have revealed the notion of a 'green premium' or 'greenium' within green bond pricing, including insights into influential characteristics and drivers that govern it. However, methodological heterogeneity among these studies has resulted in general ambiguity regarding a consensus over the existence of the green premium. This research addresses this gap through a systematic literature review with the aim of establishing a consensus on the existence, or nonexistence, of a green premium in the green bond market. The review examines studies published between 2007 and 2019. A ranking of the green bond characteristics most likely to exhibit a green premium is organised, including a framework of driving factors. The findings confirm a consensus on the existence of a green premium within 56% of primary and 70% of secondary market studies, particularly for those green bonds that are government issued, investment grade, and that follow defined green bond governance and reporting procedures. The green premium varies widely for the primary market; however, an average greenium of -1 to -9 basis points on the secondary market is observed. Overall, our findings highlight the crucial role of strengthening environmental preferences amongst bond market participants; including implications for bond pricing theory, by suggesting that future bond pricing should consider noneconomic motives of investors, such as environmental preferences; and, for future growth implications as a catalyst towards the financing of climate change mitigation efforts globally.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e99dbb92353327f761299bd09d6eb65" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723229,"asset_id":125734280,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723229/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734280"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734280"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734280; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734280]").text(description); $(".js-view-count[data-work-id=125734280]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734280; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734280']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4e99dbb92353327f761299bd09d6eb65" } } $('.js-work-strip[data-work-id=125734280]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734280,"title":"Is there a green premium in the green bond market? 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This tool was developed using data collected in several cities in Australia, and when applied on standalone properties, the achieved accuracy ranged from 86% and 96% in terms of number of correctly classified events. Taking advantage of the analysis results from Autoflow © , the aim of this study is to propose a short-term water demand forecasting model that not only allows water utilities to predict the overall and peak water demand of up to 24-hour ahead, but also obtain the disaggregated forecast volume of each end-use category. Based on the periodic pattern of the water consumption data, a state-space approach has been adopted whose components including trend, seasonal and external effect from temperature were all modelled as stochastic processes. In this model, Dynamic Harmonic Regression, Kalman Filter and Fixed Interval Smooth algorithms were employed for the estimation of all above-mentioned components. The model has been tested against datasets collected at different time of the year to estimate its efficiency as well as the impact of temperature on water consumption. The verification process has showed that the achieved R 2 for all testings are above 0.9 when undertaking forecast of up to 24-hour ahead, whilst the obtained Mean Absolute Percentage Error (MAPE) of the disaggregated forecast volume of each category most of the time lie below 5%. Further model testing is planned to be applied on 1200 new apartment buildings in the Commonwealth Games Village located in Gold Coast Australia to validate its efficiency. Once finished, the overall Autoflow © application will have significant impact in practice that allows the water utility to have detailed plan in moderating water demand along the day, or assist in optimising the pumping activities at the least required energy. Most importantly, the ability to determine and approximate the peak demand will allow utilities to have flexible solutions to solve the over-capacity problem, especially at old metropolitans where the demand far exceeds the supply capacity of the old existing distribution network.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a4a65cc84b9042d22d11d8e00f4120de" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723247,"asset_id":125734279,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723247/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734279"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734279"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734279; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734279]").text(description); $(".js-view-count[data-work-id=125734279]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734279; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734279']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a4a65cc84b9042d22d11d8e00f4120de" } } $('.js-work-strip[data-work-id=125734279]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734279,"title":"Water demand forecasting with AUTOFLOW© using State-Space approach","internal_url":"https://www.academia.edu/125734279/Water_demand_forecasting_with_AUTOFLOW_using_State_Space_approach","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[{"id":119723247,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723247/thumbnails/1.jpg","file_name":"NguyenPUB1816.pdf","download_url":"https://www.academia.edu/attachments/119723247/download_file","bulk_download_file_name":"Water_demand_forecasting_with_AUTOFLOW_u.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723247/NguyenPUB1816-libre.pdf?1732185384=\u0026response-content-disposition=attachment%3B+filename%3DWater_demand_forecasting_with_AUTOFLOW_u.pdf\u0026Expires=1740871135\u0026Signature=GLNjp6ZygoVhpbDRVIXcylTCKa5nvgsg6TGD8AmVhyz-a4mb5YK9V7AntWdmjeZFc09LujoWtQbGfzZSdwDl95qUF37-EP30EfeHpPOei1wny9BO6LsEFg7UdisPMQbP2zvvOguIsauN~zBuSaoPxB9RaDaveLbMI6HczQ0lMx32MHbiaR~dXw5LHlI2WmJ977SaMpTjbuUo94nZopqtYF-ZKbnf7vzwBgzQktO9C7ErnIQLx-ge5znfaWnp3loucrAqxMW5-VJGn35VMcdraTSScfoO03Ccq0QLm10Aos8S1v7IYT3LZw1a7OOozeeCO9jh0zOWKS6pNhF4MsYFSQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734278"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734278/Systems_approach_to_end_of_life_management_of_residential_photovoltaic_panels_and_battery_energy_storage_system_in_Australia"><img alt="Research paper thumbnail of Systems approach to end-of-life management of residential photovoltaic panels and battery energy storage system in Australia" class="work-thumbnail" src="https://attachments.academia-assets.com/119723227/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734278/Systems_approach_to_end_of_life_management_of_residential_photovoltaic_panels_and_battery_energy_storage_system_in_Australia">Systems approach to end-of-life management of residential photovoltaic panels and battery energy storage system in Australia</a></div><div class="wp-workCard_item"><span>Renewable & Sustainable Energy Reviews</span><span>, Dec 1, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Understanding the complexities around managing the end-of-life (EoL) residential solar photovolta...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Understanding the complexities around managing the end-of-life (EoL) residential solar photovoltaic (PV) and battery energy storage systems (BESS) is a precursor to a better decision-making process that mitigates unintended product life-cycle impacts. In this paper, a participatory Systems Thinking approach was utilised to build a causal loop diagram (CLD) for this system based on the collective knowledge of stakeholders. The developed CLD was categorised into three sub-systems: (1) waste flows; (2) regulatory aspects; and (3) industry strategies and government incentives. Two main system archetypes were identified in a reflection to the CLD, namely fixes that fail and drifting goals. The identified feedback loops indicate the need to introduce a comprehensive national product stewardship scheme, complimentary landfill restrictions, and provide sufficient incentives to industries for promoting recovery activities within residential PV panels and BESS sectors. An effective waste management system for these renewable energy technologies is most effective if industries are required to participate through regulation which also specifies certain targets, such as product and material recovery rates and establishes a sustainable funding model to meet operational requirements and future needs. The increasingly prohibitive overseas waste export market will require local industries and governments to collaboratively improve domestic recycling capability and capacity. In this light, the failure to build an effective EoL management system for residential PV and BESS will result in valuable and hazardous materials in both technologies to be disposed of in the landfill, stockpiled or illegally dumped; consequently, reinforcing unintended and adverse environmental impacts.  Causal loop diagram mapped the complexity of EoL management system of PV and BESS.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a6b9e0cb58e1c8f2b3478c8052c2446" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723227,"asset_id":125734278,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723227/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734278"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734278"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734278; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734277"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734277/Identifying_and_Overcoming_Barriers_to_Collaborative_Sustainable_Water_Governance_in_Remote_Australian_Indigenous_Communities"><img alt="Research paper thumbnail of Identifying and Overcoming Barriers to Collaborative Sustainable Water Governance in Remote Australian Indigenous Communities" class="work-thumbnail" src="https://attachments.academia-assets.com/119723225/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734277/Identifying_and_Overcoming_Barriers_to_Collaborative_Sustainable_Water_Governance_in_Remote_Australian_Indigenous_Communities">Identifying and Overcoming Barriers to Collaborative Sustainable Water Governance in Remote Australian Indigenous Communities</a></div><div class="wp-workCard_item"><span>Water</span><span>, Nov 17, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Collaboration between government agencies and communities for sustainable water governance in rem...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Collaboration between government agencies and communities for sustainable water governance in remote Indigenous communities is espoused as a means to contribute to more equitable, robust, and long-term decision-making and to ensure that water services contribute to broader considerations of physical, social, and economic prosperity. In Australia, the uptake of collaborative water governance in remote Aboriginal and Torres Strait Island contexts has been slow and few examples exist from which to inform policy and practice. This study identifies barriers to uptake of collaborative sustainable water governance, drawing from qualitative interviews with water practitioners working in remote Indigenous Australia and analysis of key project documentation. Thematic analysis revealed discrete barriers across five key categories: (1) governance arrangements, (2) economic and financial, (3) capacity and skills, (4) data and information, and (5) cultural values and norms, with many barriers identified, unique to the remote Indigenous Australian context. The paper provides insights into how to address these barriers strategically to create transformative and sustainable change for Indigenous communities. The results contribute to the greater body of knowledge on sustainable and collaborative water governance, and they are of relevance for broader water management, policy, and research.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="456f6c9a456b469bb0d9384cfd1d6910" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723225,"asset_id":125734277,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723225/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734277"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734277"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734277; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734276"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734276/Examining_the_potential_for_energy_positive_bulk_water_infrastructure_to_provide_long_term_urban_water_security_A_systems_approach"><img alt="Research paper thumbnail of Examining the potential for energy-positive bulk-water infrastructure to provide long-term urban water security: A systems approach" class="work-thumbnail" src="https://attachments.academia-assets.com/119723224/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734276/Examining_the_potential_for_energy_positive_bulk_water_infrastructure_to_provide_long_term_urban_water_security_A_systems_approach">Examining the potential for energy-positive bulk-water infrastructure to provide long-term urban water security: A systems approach</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Feb 1, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Urban centres are increasingly requiring more water than existing groundwater and surface water s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Urban centres are increasingly requiring more water than existing groundwater and surface water sources can supply. Water authorities must consider energy intensive supply alternatives such as recycling and desalination, leading to a water-energy-climate conundrum. In this study, a systems perspective of the water-energy-climate nexus is applied to South-East Queensland (SEQ), Australia. Under a changing climate, SEQ is predicted to experience reduced reservoir inflows and increased evaporation rates, which will consequently lead to reduced water availability. To exacerbate this issue, anticipated high population growth in SEQ will increase water demand, putting even more stress on the traditional water supply sources. Clearly, there is a strong incentive to pursue solutions that increase water security without contributing to anthropogenic climate change. Using a system dynamics model, the water balance of the bulk water supply system is evaluated over a 100-year life cycle. The outputs of the model are used to investigate potential management and infrastructure options available to SEQ for adapting to increased water scarcity. The historical rainfall patterns of SEQ requires significant contingency to be built into surface water capacity in order to mitigate low rainfall years, and provide adequate water security. In contrast, reverse osmosis (RO) desalination plants do not require this excess capacity because they are rain-independent. However, RO has high energy consumption and associated greenhouse gas emissions when operating and their potential long periods of redundancy due to periods of sufficient surface water supplies remain unresolved issues. The model demonstrates that dual purpose pressure retarded osmosis desalination plants offer a potential solution, by providing water security at a lower cost than surface water reservoir augmentation, while offsetting energy use through renewable energy generation when RO plants would otherwise be sitting idle. Potentially this technology represents a future sustainable solution to overcome water security concerns.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="154e19d4e1fa47e9650ea79aafea04ec" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723224,"asset_id":125734276,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723224/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734276"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734276"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734276; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734276]").text(description); $(".js-view-count[data-work-id=125734276]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734276; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734276']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734275"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734275/Drivers_barriers_and_enablers_to_end_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_systematic_literature_review"><img alt="Research paper thumbnail of Drivers, barriers and enablers to end-of-life management of solar photovoltaic and battery energy storage systems: A systematic literature review" class="work-thumbnail" src="https://attachments.academia-assets.com/119723244/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734275/Drivers_barriers_and_enablers_to_end_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_systematic_literature_review">Drivers, barriers and enablers to end-of-life management of solar photovoltaic and battery energy storage systems: A systematic literature review</a></div><div class="wp-workCard_item"><span>Journal of Cleaner Production</span><span>, Feb 1, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Distributed solar photovoltaic (PV) systems are a low-cost form of renewable energy technology th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Distributed solar photovoltaic (PV) systems are a low-cost form of renewable energy technology that has had an exponential rate of uptake globally in the last decade. However, little attention has been paid to the potential environmental and human health related impacts associated with PV systems, if not managed properly at the end-of-life (EoL). Rare materials such as ruthenium, gallium, indium, and tellurium are essential components in PV panels, while battery energy storage systems (BESS) are composed of various chemistries (i.e. lithium-ion, lead acid, nickel cadmium, salt water, and flow batteries). An appropriate EoL management strategy for solar photovoltaic systems (i.e. PV modules, BESS) is necessary, not only to prevent and/or mitigate future environmental problems but also to reduce demand on rare earth materials. Drawn from a portfolio of 191 papers collected from Scopus and Web of Science databases between 2000 and 2018 (by 30 June 2018), a systematic quantitative literature review on solar energy systems EoL studies was conducted to examine the temporal trend of current research as well as methodological and geographical distributions of the published articles. Research has been concentrated within Europe, some parts of Asia, and North America, with experimental and modelling/simulation methods being mostly applied. The focus of this study was to compile and synthesise reported drivers, barriers, and enablers to EoL management of PV panels and BESS in the context of the circular economy. A conceptual framework is proposed to facilitate the transition of current PV system material flows and supply chain management practices to circular economy concepts. This paper also presents a future research agenda.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="857240cf730a3b8a235c6114cd03200c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723244,"asset_id":125734275,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723244/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734275"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734275"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734275; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125734275]").text(description); $(".js-view-count[data-work-id=125734275]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125734275; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125734275']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "857240cf730a3b8a235c6114cd03200c" } } $('.js-work-strip[data-work-id=125734275]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734275,"title":"Drivers, barriers and enablers to end-of-life management of solar photovoltaic and battery energy storage systems: A systematic literature review","internal_url":"https://www.academia.edu/125734275/Drivers_barriers_and_enablers_to_end_of_life_management_of_solar_photovoltaic_and_battery_energy_storage_systems_A_systematic_literature_review","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6"},"attachments":[{"id":119723244,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723244/thumbnails/1.jpg","file_name":"Journal_of_Cleaner_Production_Drivers_barriers_enablers_to_EOL_PV_cells_and_ESS_1118_EN.pdf","download_url":"https://www.academia.edu/attachments/119723244/download_file","bulk_download_file_name":"Drivers_barriers_and_enablers_to_end_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723244/Journal_of_Cleaner_Production_Drivers_barriers_enablers_to_EOL_PV_cells_and_ESS_1118_EN-libre.pdf?1732185393=\u0026response-content-disposition=attachment%3B+filename%3DDrivers_barriers_and_enablers_to_end_of.pdf\u0026Expires=1740871135\u0026Signature=PiLDUqzKu4gWVkxu-a~zLy6eSjvLVocZ0c4SHJZBDkdiQotGWkLvMB6SxNTcwz3WBYcKbLVFVR~uLQt2JIquyvvIoR~v5nxL1HdwZk3DRh8J5F9hTeBAqBLLzOxFK7a7cUuajPjSiD3A4cVewlh0oljLY1aQd8ozIu2WL5NT9kKoRKGN8lScNazarS81PMcLnvQTrIeQjJNwEGCYN1moq8ardgYP687WDUZCu3gRTj8lbymVKcYXLdiTl0Zjx5d~i0XkFvmuJ3vawUYAOVvudzN7JZ7qI91FuVvr8wFOJtT7ecb53Ih2aOo7i03TO9~8fw9FuI4K5lOhLSe52d09wQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734274"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734274/Green_building_split_incentives_and_affordable_rental_housing_policy"><img alt="Research paper thumbnail of Green building, split-incentives and affordable rental housing policy" class="work-thumbnail" src="https://attachments.academia-assets.com/119723222/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734274/Green_building_split_incentives_and_affordable_rental_housing_policy">Green building, split-incentives and affordable rental housing policy</a></div><div class="wp-workCard_item"><span>Housing Studies</span><span>, Oct 24, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigate the notion of capitalizing on investments in energy, water and gas efficiency with...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigate the notion of capitalizing on investments in energy, water and gas efficiency within the context of affordable rental housing subsidy schemes; how associated utility savings offer a means to deliver policy designed to mitigate for issues of split-incentives. An Australian case study representing a typical affordable housing development is analyzed for two scenarios -a 'Business as usual' and 'Green-certified' case. Over a 10-year rental tenancy, operational utility efficiencies, achieved through green building principles are modelled to reduce total housing costs by 1.7-3.8% (AUD $5-18 per week), for one-and four-person households, respectively. Over the building lifecycle, the net present value of improvements are forecasted to be positive, signalling favourable support for policy interventions. The findings provide evidence to support a broader notion of 'housing assistance' to one that includes improved standards on residential utility efficiency. We present three policy options on how to deliver these benefits to stakeholders.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9a9a2d9ccc3cee0a25d9344867896a85" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723222,"asset_id":125734274,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723222/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734274"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734274"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734274; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9a9a2d9ccc3cee0a25d9344867896a85" } } $('.js-work-strip[data-work-id=125734274]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734274,"title":"Green building, split-incentives and affordable rental housing policy","internal_url":"https://www.academia.edu/125734274/Green_building_split_incentives_and_affordable_rental_housing_policy","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"K1U5VmhHZkRZUTd4RjQ0Uk1rMkVZOHNVNWVjMy8vSUlITEFiZ1htZXNYbnZJN2VrWW5rZGU1Vm8xa2Y4UGlCeC0tRG5ZVlh3UzV5TTZyVHRlQnp1STFaUT09--2dc90de17ad9a12a3dd79ae01657e60d4bdaca91"},"attachments":[{"id":119723222,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723222/thumbnails/1.jpg","file_name":"MacAskill266139Accepted.pdf","download_url":"https://www.academia.edu/attachments/119723222/download_file","bulk_download_file_name":"Green_building_split_incentives_and_affo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723222/MacAskill266139Accepted-libre.pdf?1732185390=\u0026response-content-disposition=attachment%3B+filename%3DGreen_building_split_incentives_and_affo.pdf\u0026Expires=1740788370\u0026Signature=EbqZ38yy0o7fNS4o-XTof5hYkQNwQgsXhlQvUiohwLoy8UShwzemrksaobRBVcNAr0exSddAH-h0VMWwa-OmNca2v7KFGCHBSviJFMdyyKeDcwncwYvHKHqrSgZ8s1T3VgCy8vj-wUZxABUKxh87JMouQGI1hMqDNsok9Uc8ULqE4fx1eJC6K0oq-wc9WUeb7g0JA2XYLfH-sOTwEkOyQfwK25YSiVNrN-vuB38JukDdto0jdW-n8jQ3kEX4bsixgO4moG86GtZOiBujomHVhh4pvWJ5R2i5evrHHQtEq4psGWgGQ8wE2ZW8kPzuNU4s3LlaSdrV1RH6gMd8MaGvUQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":119723223,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723223/thumbnails/1.jpg","file_name":"MacAskill266139Accepted.pdf","download_url":"https://www.academia.edu/attachments/119723223/download_file","bulk_download_file_name":"Green_building_split_incentives_and_affo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723223/MacAskill266139Accepted-libre.pdf?1732185393=\u0026response-content-disposition=attachment%3B+filename%3DGreen_building_split_incentives_and_affo.pdf\u0026Expires=1740788370\u0026Signature=gDRYz706hZEOO7K9zZJn5OkGt3tJjlWyH9Y9zYjFAqXDEVRki8aVjmaUsAecH8hXPVSj7FLfWkRezbrcKb0w5nf9Qa9gdhBBR5Dguw1OmL36RU4OKBleEjCyrWavEOqqITNyBbGqhZ4pgL~HYy9Fz0NiI9duXnusvEQ2qJA6cqWEHmFUwTSXVf6tBQqZsxxttP8TUs1vCc~irzuh81SLUgaTg0WPbr8BIbJPDCq5eYQrBo5Zos3Gyi9jKrGv87qOPvSTJ2VoWP3UO1xTWdz-Y~g66UnAg3~tYue9BMchJZZ7bLSU22~EmyEl24QyV1L2ZdvdDXjw5XT1CgVPH--seQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734273"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734273/The_determinants_of_household_water_consumption_A_review_and_assessment_framework_for_research_and_practice"><img alt="Research paper thumbnail of The determinants of household water consumption: A review and assessment framework for research and practice" class="work-thumbnail" src="https://attachments.academia-assets.com/119723219/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734273/The_determinants_of_household_water_consumption_A_review_and_assessment_framework_for_research_and_practice">The determinants of household water consumption: A review and assessment framework for research and practice</a></div><div class="wp-workCard_item"><span>npj clean water</span><span>, Feb 20, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Achieving a thorough understanding of the determinants of household water consumption is crucial ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Achieving a thorough understanding of the determinants of household water consumption is crucial to support demand management strategies. Yet, existing research on household water consumption determinants is often limited to specific case studies, with findings that are difficult to generalize and not conclusive. Here, we first contribute an updated framework for review, classification, and analysis of the literature on the determinants of household water consumption. Our framework allows trade-off analysis of different criteria that account for the representation of a potential water consumption determinant in the literature, its impact across heterogeneous case studies, and the effort required to collect information on it. We then review a comprehensive set of 48 publications with our proposed framework. The results of our trade-off analysis show that distinct groups of determinants exist, allowing for the formulation of recommendations for practitioners and researchers on which determinants to consider in practice and prioritize in future research.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="621c1621bd80e04bf446bf48c3b10c3f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723219,"asset_id":125734273,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723219/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734273"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734273"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734273; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734272"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734272/Understanding_non_registration_in_domestic_water_meters_Implications_for_meter_replacement_strategies"><img alt="Research paper thumbnail of Understanding non-registration in domestic water meters: Implications for meter replacement strategies" class="work-thumbnail" src="https://attachments.academia-assets.com/119723218/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734272/Understanding_non_registration_in_domestic_water_meters_Implications_for_meter_replacement_strategies">Understanding non-registration in domestic water meters: Implications for meter replacement strategies</a></div><div class="wp-workCard_item"><span>Water</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Understanding elements of non-revenue water (NRW) has become more critical in an era where urban ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Understanding elements of non-revenue water (NRW) has become more critical in an era where urban water has a rapidly increasing value. Meter under-and over-registration of flows has received considerable research attention over the years, but there has been limited focus on non-registration, particularly for domestic water meters over their life cycle. This paper presents empirical estimates on nonregistration for typically installed domestic water meters and emphasises that both under-and non-registration should be considered for any meter replacement assessments and associated policies. Economic modelling showed that domestic water meters should be replaced at lower throughput volumes when considering both of these meter inaccuracy categories. The key value of the paper is that it provides a methodology for determining nonregistration for a fleet of domestic meters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="819a672ab04adafd02076b274b352c37" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723218,"asset_id":125734272,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723218/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734272"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734272"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734272; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "819a672ab04adafd02076b274b352c37" } } $('.js-work-strip[data-work-id=125734272]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125734272,"title":"Understanding non-registration in domestic water meters: Implications for meter replacement strategies","internal_url":"https://www.academia.edu/125734272/Understanding_non_registration_in_domestic_water_meters_Implications_for_meter_replacement_strategies","owner_id":176025918,"coauthors_can_edit":true,"owner":{"id":176025918,"first_name":"Rodney","middle_initials":null,"last_name":"Stewart","page_name":"RodneyStewart6","domain_name":"independent","created_at":"2020-10-26T05:32:29.138-07:00","display_name":"Rodney Stewart","url":"https://independent.academia.edu/RodneyStewart6","email":"ZzlqT01CWlV4Y09hUWFiNWdFUUtZTkVYV1JTMnNjemdIQlI2NzZTS3M1YWpuN3ZTaXZZMk5FR0xvZmhhZXJIci0tSVhIZkFEZTNGVTdOWlpzanI3Q0FUdz09--be519b996c35a8434dda669c1d6929725800da90"},"attachments":[{"id":119723218,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723218/thumbnails/1.jpg","file_name":"82792_1.pdf","download_url":"https://www.academia.edu/attachments/119723218/download_file","bulk_download_file_name":"Understanding_non_registration_in_domest.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723218/82792_1-libre.pdf?1732185387=\u0026response-content-disposition=attachment%3B+filename%3DUnderstanding_non_registration_in_domest.pdf\u0026Expires=1740788370\u0026Signature=BMBf~ud3gMCABLngUS9iXqGQer5MbfaB8Ud-cDaL-9X5wVBFjmNVziEYMmhR6~CZvjroNvd4wVylHYR-KA9mYPtTcE87Va-bjXMD4nB0pJ~uk-6FbTPznOJpP4SpIyvlGzEPLxS6Fl76HTLU2N43xeGWD0f5~PWnJHPisr5xZunLnrTi3YAx~U3I2O2kQJ8hVCw-G1Gzaefe7i~GvJwhl7VCK7-RGXENfoRsJgqUa4wP55iPiWr60GLpztlchRkXEKEFZ02Bkd0hI-gh7mEDPGvNMVsmn7y89Vk6NRSGJN9wCPFW2qT7JCuOYjf66kNcfFTG7ZFGzkkVzjx6JRIfcg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":119723220,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/119723220/thumbnails/1.jpg","file_name":"82792_1.pdf","download_url":"https://www.academia.edu/attachments/119723220/download_file","bulk_download_file_name":"Understanding_non_registration_in_domest.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/119723220/82792_1-libre.pdf?1732185387=\u0026response-content-disposition=attachment%3B+filename%3DUnderstanding_non_registration_in_domest.pdf\u0026Expires=1740788370\u0026Signature=WNDlZKbzfEMgQkFurcFG~CO7lGfN0Y~kC4bsiOCAQ7aFoC80Sb6sFFNl8~AULRwWfWq8DbDDPr5hbQfaELUYN2~LkONKsb2043ffFNDhd9thanXF57U3jiz5~lz98LcTdGwvOaH6X49Auwho6mKUodNtRSHIxAAiz-cCnfWUzq8YOyWD97X5LLfoXLBrTPHw3dzxTSNvXureFuomDtB0Oq-7Oirc4~bGFL68oO-dvYGuTEORzChtKwmZzIH1jv5jgGmKacgIENbADr7quhSO1zUHOMIRcuvHvK8BIp8h2YZ78wKIK8jqT4j9TwNt8NnAyMW~BxXUWsvOR9ek3HJEVQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734271"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734271/Gold_Coast_Domestic_Water_End_Use_Study"><img alt="Research paper thumbnail of Gold Coast Domestic Water End Use Study" class="work-thumbnail" src="https://attachments.academia-assets.com/119723217/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734271/Gold_Coast_Domestic_Water_End_Use_Study">Gold Coast Domestic Water End Use Study</a></div><div class="wp-workCard_item"><span>Water</span><span>, Sep 1, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents the preliminary findings of the Gold Coast Watersaver End Use Project which w...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents the preliminary findings of the Gold Coast Watersaver End Use Project which was conducted in winter 2008, for 151 homes on the Gold Coast, Australia. Specifically, the paper includes a break down of water end use consumption data, compares this with results of previous national studies, and explores the degree of influence of household socioeconomic regions on end use. Two highly variable water end use distributions, namely shower and irrigation, were examined in detail, clustered and are discussed herein. The paper concludes with a brief description of the greater ongoing research program.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4bf4997a3f7a0b2b7ec86acbed83d3f4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119723217,"asset_id":125734271,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119723217/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125734271"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125734271"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125734271; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125734270"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125734270/Remote_Diagnosis_of_Leakage_in_Residential_Households"><img alt="Research paper thumbnail of Remote Diagnosis of Leakage in Residential Households" class="work-thumbnail" src="https://attachments.academia-assets.com/119723215/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125734270/Remote_Diagnosis_of_Leakage_in_Residential_Households">Remote Diagnosis of Leakage in Residential Households</a></div><div class="wp-workCard_item"><span>Water</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Wide Bay Water Corporation is in the process of implementing automated meter reading technology i...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Wide Bay Water Corporation is in the process of implementing automated meter reading technology in their water network. This technology allows the remote measurement and evaluation of water consumption at a residential and commercial level using a FIREFLY ® data logger and Commstar software. By using the FIREFLY ® , water usage patterns can be recorded each hour and stored for collection via a drive-by system. This paper presents the findings from a pilot study in Hervey Bay Queensland that Wide Bay Water Corporation has undertaken in conjunction with Griffith University. The objective was to identify household water leakage in residential properties located within a selected district metered area (DMA). Research outcomes include a water use profile of the metered residential properties, the types of leaks encountered and the cost of leak repairs. At the commencement of the program it was found that 2% of the meters accounted for 24% of the night time consumption. 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