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id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane 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 Xsitaaz Chadee</h3></div><div class="js-work-strip profile--work_container" data-work-id="107418283"><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/107418283/Violations_at_the_Reference_Point_of_Discontinuity_Limitations_of_Prospect_Theory_and_an_Alternative_Model_of_Risk_Choices"><img alt="Research paper thumbnail of Violations at the Reference Point of Discontinuity: Limitations of Prospect Theory and an Alternative Model of Risk Choices" class="work-thumbnail" src="https://attachments.academia-assets.com/106089804/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/107418283/Violations_at_the_Reference_Point_of_Discontinuity_Limitations_of_Prospect_Theory_and_an_Alternative_Model_of_Risk_Choices">Violations at the Reference Point of Discontinuity: Limitations of Prospect Theory and an Alternative Model of Risk Choices</a></div><div class="wp-workCard_item"><span>Emerging science journal</span><span>, Feb 1, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the...</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 tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the geometrical notion that there is a discontinuity between gains and losses, and that individual preferences change relative to a reference point. This results in PT having three distinct parameters; concavity, convexity and the reference point represented as a disjoint between the concavity and convexity sections of the curve. The objective of this paper is to examine the geometrical violations of PT at the zero point of reference. This qualitative study adopted a theoretical review of PT and Markowitz's triply inflected value function concept to unravel methodological assumptions which were not fully addressed by either PT or cumulative PT. Our findings suggest a need to account for continuity and to resolve this violation of PT at the reference point. In so doing, an alternative preference transition theory, was proposed as a solution that includes a phase change space to cojoin these three separate parameters into one continuous nonlinear model. This novel conceptual model adds new knowledge of risk and uncertainty in decision making. Through a better understanding of an individual's reference point in decision making behaviour, we add to contemporary debate by complementing empirical studies and harmonizing research in this field.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0b86873f9878a33f69e091f64ac1aab5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089804,"asset_id":107418283,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089804/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="107418283"><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="107418283"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418283; 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$(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="107418282"><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/107418282/Systemic_Issues_Influencing_Technical_Certainty_in_Social_Housing_Programmes_in_a_Small_Island_Developing_State"><img alt="Research paper thumbnail of Systemic Issues Influencing Technical Certainty in Social Housing Programmes in a Small Island Developing State" class="work-thumbnail" src="https://attachments.academia-assets.com/106089772/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/107418282/Systemic_Issues_Influencing_Technical_Certainty_in_Social_Housing_Programmes_in_a_Small_Island_Developing_State">Systemic Issues Influencing Technical Certainty in Social Housing Programmes in a Small Island Developing State</a></div><div class="wp-workCard_item"><span>Buildings</span><span>, Feb 12, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</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 article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="48390d88ba51864f3bda57939263355b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089772,"asset_id":107418282,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089772/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="107418282"><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="107418282"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418282; 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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="107418279"><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/107418279/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power"><img alt="Research paper thumbnail of Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power" class="work-thumbnail" src="https://attachments.academia-assets.com/106089767/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/107418279/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power">Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power</a></div><div class="wp-workCard_item"><span>ISRN Renewable Energy (Print)</span><span>, Sep 26, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The standard air density of 1.225 kg m −3 is often used in determining the energy output of a win...</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 standard air density of 1.225 kg m −3 is often used in determining the energy output of a wind turbine although the energy output is dependent on a site's air density. By using measurements of temperature, dew-point temperature, and pressure, we calculate the monthly air density of moist tropical climates at two sites in the small-island state of Trinidad and Tobago. In addition, we calculate the energy output of a BOREAS 30 kW small wind turbine using the 10 m level wind speed distribution extrapolated to hub height. The average air densities at Crown Point and Piarco were 1.156 kg m −3 and 1.159 kg m −3 , respectively, and monthly air densities at both sites were at most 6% less than standard air density. The difference in energy output of the BOREAS 30 kW calculated using standard air density over that using the local site's air density could provide electrical energy for the continuous monthly operation of 6 light bulbs rated at 50 W at Crown Point and 4 light bulbs at Piarco. Thus, communities interested in implementing wind turbine technologies must use the local air density of the site when sizing a wind turbine system for its needs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c7e7735f49acc3c01aad0c73bbba9e2d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089767,"asset_id":107418279,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089767/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="107418279"><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="107418279"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418279; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107418274"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/107418274/Transitioning_from_100_percent_natural_gas_power_to_include_renewable_energy_in_a_hydrocarbon_economy"><img alt="Research paper thumbnail of Transitioning from 100 percent natural gas power to include renewable energy in a hydrocarbon economy" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/107418274/Transitioning_from_100_percent_natural_gas_power_to_include_renewable_energy_in_a_hydrocarbon_economy">Transitioning from 100 percent natural gas power to include renewable energy in a hydrocarbon economy</a></div><div class="wp-workCard_item"><span>Smart energy</span><span>, Feb 1, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107418274"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="107418274"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418274; 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</script> <div class="js-work-strip profile--work_container" data-work-id="107418269"><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/107418269/Variations_in_extreme_temperature_and_precipitation_for_a_Caribbean_island_Barbados_1969_2017_"><img alt="Research paper thumbnail of Variations in extreme temperature and precipitation for a Caribbean island: Barbados (1969–2017)" class="work-thumbnail" src="https://attachments.academia-assets.com/106089801/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/107418269/Variations_in_extreme_temperature_and_precipitation_for_a_Caribbean_island_Barbados_1969_2017_">Variations in extreme temperature and precipitation for a Caribbean island: Barbados (1969–2017)</a></div><div class="wp-workCard_item"><span>Theoretical and Applied Climatology</span><span>, Mar 6, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Temperature and precipitation in situ datasets for the Caribbean island, Trinidad for 1961-2010 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">Temperature and precipitation in situ datasets for the Caribbean island, Trinidad for 1961-2010 were statistically analyzed using the RClimDex software and the Mann-Kendall test for trends. The annual, seasonal, and monthly findings were compared with regional projections; Providing Regional Climates for Impact Studies (PRECIS) and a 20 km atmospheric global circulation model, and a global projection of the Coupled Model Intercomparison Project Phase 3 (CMIP3). Overall, the seasonal and decadal results revealed patterns different from the annual warming. All the temperature indices were found to have warming patterns with the wet season, June to December, generally greater than the dry season, January to May. The warmest decade was 1980s, whereas globally, the decade 2001-2010 was the warmest. There was an increase in the annual maximum 5 day precipitation, RX5day, at the UWI station. During the dry season (1973-2010) at the UFS and UWI stations, the RX5day increased by 8.60 and 7.76 mm per decade, respectively, while the maximum 1-day precipitation, RX1day, increased by 2.92 and 8.90 mm per decade for the UFS and UWI, respectively. The 1980s was the wettest, and during the decade 2001-2010, there were above averages for the consecutive dry days (CDD) and the simple daily intensity index (SDII). The projections on both the regional and global outlooks suggest that this warming pattern will continue in the future. This small-scale study supports that seasonal and decadal analyses, in addition to the annual assessments, are significant for the understanding of the climate variability which is required for vulnerability and adaptation studies for small island states. 1 Introduction/Objectives The risks associated with extreme climate events and our ability to assess and manage them affect the sustainability of economic development and living conditions. It was projected that some extremes will become more frequent, widespread, and intense during the 21 st century (IPCC 2007). These may lead to more droughts or flooding events and may affect water resources, agriculture, infrastructure, and biodiversity. Current information on changes in climate extremes is therefore needed to aid in vulnerability assessments and mitigation options. Recent trends in both temperature and precipitation and their related extreme indices are supported by studies on the global and regional scales which clearly show a tendency of a warming climate (Trenberth et al. 2007; Karmalkar et al. 2013 and Stephenson et al. 2014). The IPCC 5th Assessment Report stated that almost the entire globe has experienced surface warming, and the global mean surface air temperature rose at a rate of 0.85°C over the period from 1880 to 2012 (IPCC 2013). Over small island states such as in the Caribbean, Indian Ocean, and Mediterranean regions, analyses show warming ranged from 0 to 0.5°C per decade for the 1971 to 2004 period (Trenberth et al. 2007). Furthermore, there is a good agreement with the historical temperature trends for the Caribbean and the global warming patterns (Karmalkar et al. 2013 and Stephenson et al. 2014). A global analysis of extreme weather was coordinated by efforts by the joint World Meteorological Organization Commission for Climatology (CCI)/World Climate Research</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ebf53da09cb2821625dc0d1d793a35f5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089801,"asset_id":107418269,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089801/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="107418269"><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="107418269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418269; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107418269]").text(description); $(".js-view-count[data-work-id=107418269]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107418269; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107418269']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="107418266"><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/107418266/Trends_in_extreme_temperature_and_precipitation_indices_for_the_Caribbean_small_islands_Trinidad_and_Tobago"><img alt="Research paper thumbnail of Trends in extreme temperature and precipitation indices for the Caribbean small islands: Trinidad and Tobago" class="work-thumbnail" src="https://attachments.academia-assets.com/106089803/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/107418266/Trends_in_extreme_temperature_and_precipitation_indices_for_the_Caribbean_small_islands_Trinidad_and_Tobago">Trends in extreme temperature and precipitation indices for the Caribbean small islands: Trinidad and Tobago</a></div><div class="wp-workCard_item"><span>Theoretical and Applied Climatology</span><span>, Mar 27, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Trends in extreme temperature and rainfall were analyzed for two Caribbean islands in close proxi...</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">Trends in extreme temperature and rainfall were analyzed for two Caribbean islands in close proximity: Tobago (Crown Point) and Trinidad (Piarco) for the most recent period 1985-2015 using daily data. Most annual extreme temperature indices at Crown Point show no significant warming. However, warming at Crown Point manifests during the wet season and strongly in September. In contrast, most extreme temperature indices at Piarco show significant warming trends on annual and seasonal scales as well as for most months. Extreme precipitation indices show few trends. For Crown Point, trends indicate an increase in annual precipitation totals and extremely wet days were observed, whereas no significant trends in annual indices were found for Piarco. The greatest 5-day rainfall amounts were found to increase during the dry season at both sites. When compared to previous regional studies, this specific territory approach highlights that most indices with no significant regional trends also do not show trends at the local scale. Furthermore, differences in trends between these two nearby sites, 80 km apart, indicate that there is a spatial variation in warming trends.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="39fe9db33b5c021e0086667956f7c96a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089803,"asset_id":107418266,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089803/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="107418266"><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="107418266"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418266; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107418266]").text(description); $(".js-view-count[data-work-id=107418266]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107418266; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107418266']"); 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: "39fe9db33b5c021e0086667956f7c96a" } } $('.js-work-strip[data-work-id=107418266]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107418266,"title":"Trends in extreme temperature and precipitation indices for the Caribbean small islands: Trinidad and Tobago","internal_url":"https://www.academia.edu/107418266/Trends_in_extreme_temperature_and_precipitation_indices_for_the_Caribbean_small_islands_Trinidad_and_Tobago","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"attachments":[{"id":106089803,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106089803/thumbnails/1.jpg","file_name":"s00704-018-2463-z20230930-1-g1cl17.pdf","download_url":"https://www.academia.edu/attachments/106089803/download_file","bulk_download_file_name":"Trends_in_extreme_temperature_and_precip.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106089803/s00704-018-2463-z20230930-1-g1cl17-libre.pdf?1696099670=\u0026response-content-disposition=attachment%3B+filename%3DTrends_in_extreme_temperature_and_precip.pdf\u0026Expires=1741029314\u0026Signature=YhJPGNpDk1lasZnaJzdY0WfkePE3KZ9Yp5nd3l2u7lRFvbc2cQesqJMdMtqwiv0wh7laW4JfTxXe4eox6gsTVm5SuzKKUp0B5Z1yCJqPMNvhabloOYzm40r33P1heG7W2fCcnx--xSCGSS-JQykE9U~4Lm1TJzrNV20i~w1GXvf9vjbMBi4dyOlaFgajDxOzpkmei0uktGN6yfkbY3vwZPpUHRtuG1tQhTKhcd2RcqxbDGS0JsMmWj0yodE0jOfBO~3jyxBmvsQJPlDcSgevXOn3aH2AWAUs-gQVyaWcJzzUk2JvO-61UsnHU~gl~qZRGLGEBjaCzM6yM3G8o4f3CQ__\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="107418263"><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/107418263/Optimizing_the_Weather_Research_and_Forecasting_WRF_Model_for_Mapping_the_Near_Surface_Wind_Resources_over_the_Southernmost_Caribbean_Islands_of_Trinidad_and_Tobago"><img alt="Research paper thumbnail of Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago" class="work-thumbnail" src="https://attachments.academia-assets.com/106089762/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/107418263/Optimizing_the_Weather_Research_and_Forecasting_WRF_Model_for_Mapping_the_Near_Surface_Wind_Resources_over_the_Southernmost_Caribbean_Islands_of_Trinidad_and_Tobago">Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago</a></div><div class="wp-workCard_item"><span>Energies</span><span>, Jul 5, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Numerical wind mapping is currently the wind power industry's standard for preliminary assessment...</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">Numerical wind mapping is currently the wind power industry's standard for preliminary assessments for sites of good wind resources. Of the various available numerical models, numerical weather prediction (NWP) models are best suited for modeling mesoscale wind flows across small islands. In this study, the Weather Research and Forecast (WRF) NWP model was optimized for simulating the wind resources of the Caribbean islands of Trinidad and Tobago in terms of spin-up period for developing mesoscale features, the input initial and boundary conditions, and the planetary boundary layer (PBL) parameterizations. Hourly model simulations of wind speed and wind direction for a one-month period were compared with corresponding 10 m level wind observations. The National Center for Environmental Prediction (NCEP)-Department of Energy (DOE) reanalysis of 1.875 • horizontal resolution was found to be better suited to provide initial and boundary conditions (ICBCs) over the 1 • resolution NCEP final analysis (FNL); 86% of modeled wind speeds were within ±2 m/s of measured values at two locations when the coarse resolution NCEP reanalysis was used as compared with 55-64% of modeled wind speeds derived from FNL. Among seven PBL schemes tested, the Yonsei University PBL scheme with topographic drag enabled minimizes the spatial error in wind speed (mean bias error +0.16 m/s, root-mean-square error 1.53 m/s and mean absolute error 1.21 m/s) and is capable of modeling the bimodal wind speed histogram. These sensitivity tests provide a suitable configuration for the WRF model for mapping the wind resources over Trinidad and Tobago, which is a factor in developing a wind energy sector in these islands.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c8260d934360490be4a313ddff492f38" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089762,"asset_id":107418263,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089762/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="107418263"><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="107418263"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418263; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107418263]").text(description); $(".js-view-count[data-work-id=107418263]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107418263; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107418263']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="107418261"><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/107418261/Wind_resources_and_the_levelized_cost_of_wind_generated_electricity_in_the_Caribbean_islands_of_Trinidad_and_Tobago"><img alt="Research paper thumbnail of Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago" class="work-thumbnail" src="https://attachments.academia-assets.com/106089796/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/107418261/Wind_resources_and_the_levelized_cost_of_wind_generated_electricity_in_the_Caribbean_islands_of_Trinidad_and_Tobago">Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago</a></div><div class="wp-workCard_item"><span>Renewable & Sustainable Energy Reviews</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Affordable renewable energy is one key criterion for the long-term economic growth of Caribbean 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">Affordable renewable energy is one key criterion for the long-term economic growth of Caribbean small island countries. The southernmost Caribbean islands, Trinidad and Tobago, have one of the lowest electricity rates in the region due to an indigenous source of hydrocarbons. In this study, technical and economic assessments were conducted to determine the levelized cost of electricity (LCOE) generation from the wind in these Caribbean islands. The assessments used extrapolations of 10 m level wind data sets for the two sites with long-term measurements (1989-2009), Crown Point and Piarco, and wind turbine characteristics of eight wind energy conversion systems ranging from 20 kW to 3050 kW. The annual average wind speeds at the 80 m height above ground were estimated to be 6.93 m/s and 5.86 m/s at Crown Point and Piarco, respectively, while corresponding estimates of wind power densities were 381 W m −2 and 296 W m −2. The projected LCOEs for the large wind turbines, 1500 kW and greater, were less than the current subsidized residential tariff of US</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="308f871a301ee039b3cf082b3edc533a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089796,"asset_id":107418261,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089796/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="107418261"><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="107418261"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418261; 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</script> <div class="js-work-strip profile--work_container" data-work-id="98121151"><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/98121151/A_Just_Energy_Transition_for_a_Hydrocarbon_Rich_Sids"><img alt="Research paper thumbnail of A Just Energy Transition for a Hydrocarbon Rich Sids" 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/98121151/A_Just_Energy_Transition_for_a_Hydrocarbon_Rich_Sids">A Just Energy Transition for a Hydrocarbon Rich Sids</a></div><div class="wp-workCard_item"><span>SSRN Electronic Journal</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="98121151"><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="98121151"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98121151; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=98121151]").text(description); $(".js-view-count[data-work-id=98121151]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 98121151; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='98121151']"); 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" } } $('.js-work-strip[data-work-id=98121151]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":98121151,"title":"A Just Energy Transition for a Hydrocarbon Rich Sids","internal_url":"https://www.academia.edu/98121151/A_Just_Energy_Transition_for_a_Hydrocarbon_Rich_Sids","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"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="98121147"><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/98121147/A_Prefeasibility_Solar_Photovoltaic_Tool_for_Tropical_Small_Island_Developing_States"><img alt="Research paper thumbnail of A Prefeasibility Solar Photovoltaic Tool for Tropical Small Island Developing States" class="work-thumbnail" src="https://attachments.academia-assets.com/99559288/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/98121147/A_Prefeasibility_Solar_Photovoltaic_Tool_for_Tropical_Small_Island_Developing_States">A Prefeasibility Solar Photovoltaic Tool for Tropical Small Island Developing States</a></div><div class="wp-workCard_item"><span>Energies</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Small island developing states (SIDS) are the lowest emitters of greenhouse gases yet are the mos...</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">Small island developing states (SIDS) are the lowest emitters of greenhouse gases yet are the most vulnerable to the impacts of global climate warming. Many islands, such as the Caribbean islands, identified solar photovoltaics as a technology for reducing greenhouse gas emissions from their electricity sector. However, prefeasibility economic studies for photovoltaics are challenging as operational photovoltaic system data are nonexistent, and the measured solar radiation datasets are limited. Thus, a prefeasibility PV tool that uses ground-measured global horizontal irradiation and a supplementary photovoltaic derating factor model is proposed for use in tropical SIDS. In addition, the bias of a modelled irradiation dataset was quantified with limited solar radiation data for a tropical Caribbean SIDS, Trinidad and Tobago. For this SIDS, the tool estimates the annual energy output of a 50 MW photovoltaic system to be 57,890 MWh and the levelized cost of electricity to be USD 0.12/...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a977347ad17815f8d2a5842c9d8f4bff" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99559288,"asset_id":98121147,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99559288/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="98121147"><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="98121147"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98121147; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79116126"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/79116126/Classification_of_the_Large_scale_Atmospheric_Circulation_over_the_Caribbean"><img alt="Research paper thumbnail of Classification of the Large-scale Atmospheric Circulation over the Caribbean" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/79116126/Classification_of_the_Large_scale_Atmospheric_Circulation_over_the_Caribbean">Classification of the Large-scale Atmospheric Circulation over the Caribbean</a></div><div class="wp-workCard_item"><span>AGU Fall Meeting Abstracts</span><span>, Dec 1, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79116126"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79116126"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79116126; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79116126]").text(description); $(".js-view-count[data-work-id=79116126]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79116126; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79116126']"); 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" } } $('.js-work-strip[data-work-id=79116126]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79116126,"title":"Classification of the Large-scale Atmospheric Circulation over the Caribbean","internal_url":"https://www.academia.edu/79116126/Classification_of_the_Large_scale_Atmospheric_Circulation_over_the_Caribbean","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"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="79116065"><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/79116065/Implications_of_Lock_in_on_Public_Sector_Project_Management_in_a_Small_Island_Development_State"><img alt="Research paper thumbnail of Implications of ‘Lock-in’ on Public Sector Project Management in a Small Island Development State" class="work-thumbnail" src="https://attachments.academia-assets.com/85947064/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/79116065/Implications_of_Lock_in_on_Public_Sector_Project_Management_in_a_Small_Island_Development_State">Implications of ‘Lock-in’ on Public Sector Project Management in a Small Island Development State</a></div><div class="wp-workCard_item"><span>Buildings</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The concept of ‘Lock-In’, or the escalating cost of overcommitment on a project to a failing cour...</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 concept of ‘Lock-In’, or the escalating cost of overcommitment on a project to a failing course of action, has unforeseeable implications in project management. This paper presents a case study on the occurrence and consequences of lock-in within the context of public sector housing projects in a small island developing state (SIDS). It demonstrates that cost overruns continue beyond the commissioning phase and throughout the project’s lifecycle, even though technical contingencies were implemented to deliver the intended project benefits. The findings unpack the implications of political expediency as a strategic tool mobilised to supersede proper technical decision-making prior to project execution. It concludes that project practitioners’ commitment to select and continue with a sub-optimal project can lead to the implementation of ineffective solutions to justify their actions, resulting in failed outcomes with negative social consequences. This research helps to advance pro...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="364bba274404ce37a0a697d0a4af141f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85947064,"asset_id":79116065,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85947064/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="79116065"><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="79116065"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79116065; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79116065]").text(description); $(".js-view-count[data-work-id=79116065]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79116065; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79116065']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="79116032"><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/79116032/Daily_near_surface_large_scale_atmospheric_circulation_patterns_over_the_wider_Caribbean"><img alt="Research paper thumbnail of Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean" class="work-thumbnail" src="https://attachments.academia-assets.com/85947040/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/79116032/Daily_near_surface_large_scale_atmospheric_circulation_patterns_over_the_wider_Caribbean">Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean</a></div><div class="wp-workCard_item"><span>Climate Dynamics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">this work comprise the first atmospheric circulation catalogue, of many to come, for the Caribbea...</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 work comprise the first atmospheric circulation catalogue, of many to come, for the Caribbean region and may be useful in statistical-dynamical downscaling applications to explain the variability of surface weather variables such as wind speeds.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="49b6925840b0b619ac78dc83e5688493" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85947040,"asset_id":79116032,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85947040/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="79116032"><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="79116032"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79116032; 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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="79115969"><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/79115969/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power"><img alt="Research paper thumbnail of Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power" class="work-thumbnail" src="https://attachments.academia-assets.com/85947022/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/79115969/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power">Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power</a></div><div class="wp-workCard_item"><span>ISRN Renewable Energy</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The standard air density of 1.225 kg m−3is often used in determining the energy output of a wind ...</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 standard air density of 1.225 kg m−3is often used in determining the energy output of a wind turbine although the energy output is dependent on a site&#39;s air density. By using measurements of temperature, dew-point temperature, and pressure, we calculate the monthly air density of moist tropical climates at two sites in the small-island state of Trinidad and Tobago. In addition, we calculate the energy output of a BOREAS 30 kW small wind turbine using the 10 m level wind speed distribution extrapolated to hub height. The average air densities at Crown Point and Piarco were 1.156 kg m−3and 1.159 kg m−3, respectively, and monthly air densities at both sites were at most 6% less than standard air density. The difference in energy output of the BOREAS 30 kW calculated using standard air density over that using the local site&#39;s air density could provide electrical energy for the continuous monthly operation of 6 light bulbs rated at 50 W at Crown Point and 4 light bulbs at Pia...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="32e2a7d480a1ecaf6aba97509a23c408" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85947022,"asset_id":79115969,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85947022/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="79115969"><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="79115969"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79115969; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79115969]").text(description); $(".js-view-count[data-work-id=79115969]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79115969; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79115969']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="79115899"><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/79115899/Large_scale_wind_energy_potential_of_the_Caribbean_region_using_near_surface_reanalysis_data"><img alt="Research paper thumbnail of Large-scale wind energy potential of the Caribbean region using near-surface reanalysis data" class="work-thumbnail" src="https://attachments.academia-assets.com/85946995/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/79115899/Large_scale_wind_energy_potential_of_the_Caribbean_region_using_near_surface_reanalysis_data">Large-scale wind energy potential of the Caribbean region using near-surface reanalysis data</a></div><div class="wp-workCard_item"><span>Renewable and Sustainable Energy Reviews</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The lack of dense, high quality, long-term in-situ wind data sets and wind resource maps for the ...</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 lack of dense, high quality, long-term in-situ wind data sets and wind resource maps for the Caribbean region is a major impediment to the development of wind energy projects. Thus, there is limited understanding of the large-scale near-surface wind climate and the regional wind resources. Through statistical analyses on 10 m level NCEP/DOE reanalysis wind data for the period 1979-2010, this work found that although the prevailing winds are from the east-northeast over the eastern Caribbean islands, their wind direction distributions are bimodal. The regional area-averaged wind speed attains a maximum in January and a secondary maximum in July which coincides with the Caribbean MidSummer Drought. The derived regional annual wind resource map shows that the Caribbean lowlevel jet (CLLJ) region is an area of superb wind power density (WPD), 400-600 W/m 2 , the eastern Caribbean and the Netherland Antilles are locations of excellent resource, 300-400 W/m 2 , and the Greater Antilles and the Bahamas are areas of good-very good resource, 200-300 W/m 2. In general, WPDs are greater in the dry season than the wet season. The regional mean annual area-averaged WPD is 308 W/m 2 with mean WPDs of 350 W/m 2 for the dry season, 290 W/m 2 for the early rainy season, and 247 W/m 2 for the late rainy season. Annual WPDs vary within7 18% of their mean. The area-averaged WPD ranges from 124 to 592 W/m 2 (7 92% of mean annual WPD) depending on the year, season, or month. Therefore, the reanalysis data are shown to be suitable for general assessments of the wind resources in the Caribbean and thus, may be used as initial and boundary conditions in numerical models for the development of high resolution wind maps through dynamical downscaling.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac7d177c46a69a2f669cc64e0530eb25" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85946995,"asset_id":79115899,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85946995/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="79115899"><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="79115899"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79115899; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79115899]").text(description); $(".js-view-count[data-work-id=79115899]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79115899; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79115899']"); 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: "ac7d177c46a69a2f669cc64e0530eb25" } } $('.js-work-strip[data-work-id=79115899]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79115899,"title":"Large-scale wind energy potential of the Caribbean region using near-surface reanalysis data","internal_url":"https://www.academia.edu/79115899/Large_scale_wind_energy_potential_of_the_Caribbean_region_using_near_surface_reanalysis_data","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"attachments":[{"id":85946995,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/85946995/thumbnails/1.jpg","file_name":"j.rser.2013.09.01820220515-1-ql5ucu.pdf","download_url":"https://www.academia.edu/attachments/85946995/download_file","bulk_download_file_name":"Large_scale_wind_energy_potential_of_the.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/85946995/j.rser.2013.09.01820220515-1-ql5ucu-libre.pdf?1652643952=\u0026response-content-disposition=attachment%3B+filename%3DLarge_scale_wind_energy_potential_of_the.pdf\u0026Expires=1741029315\u0026Signature=Vbo8XDuEY03JI4C2KFVVbDi5cy7RyoMQc~nXP-6MKjvWufX-9Ko3DCFngg6frBthyFX5iQtZN1V3qHvow1xA4p7KwJEY7aMBgnNpSk9-vWuP4yOMdhMWv29ckUi8UYgEinaJTijRvfjbPWhs~wijBIzxDorXbj~YP3iPgDaEBD2OLjnDrlGmTiYAlt7X0T-w9gOIXduJkAgp2O-Solnq9L1H~t6CbIhAw6rS2hmh09l2Yvnt~AfxGFCVCgUhrmnztUWw84aoPqgsEfYoOROxxILfM1ZDpxFm56w9CgVYR43o852f0AutVl-EaHgKdRo-RYCFKGLFwwZkRnyiRXQsRw__\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="73356882"><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/73356882/Violations_at_the_Reference_Point_of_Discontinuity_Limitations_of_Prospect_Theory_and_an_Alternative_Model_of_Risk_Choices"><img alt="Research paper thumbnail of Violations at the Reference Point of Discontinuity: Limitations of Prospect Theory and an Alternative Model of Risk Choices" class="work-thumbnail" src="https://attachments.academia-assets.com/81907820/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/73356882/Violations_at_the_Reference_Point_of_Discontinuity_Limitations_of_Prospect_Theory_and_an_Alternative_Model_of_Risk_Choices">Violations at the Reference Point of Discontinuity: Limitations of Prospect Theory and an Alternative Model of Risk Choices</a></div><div class="wp-workCard_item"><span>Emerging Science Journal</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the...</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 tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the geometrical notion that there is a discontinuity between gains and losses, and that individual preferences change relative to a reference point. This results in PT having three distinct parameters; concavity, convexity and the reference point represented as a disjoint between the concavity and convexity sections of the curve. The objective of this paper is to examine the geometrical violations of PT at the zero point of reference. This qualitative study adopted a theoretical review of PT and Markowitz’s triply inflected value function concept to unravel methodological assumptions which were not fully addressed by either PT or cumulative PT. Our findings suggest a need to account for continuity and to resolve this violation of PT at the reference point. In so doing, an alternative preference transition theory, was proposed as a solution that includes a phase change space to cojoin these ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0b0cdb73398cdaebbe08dec94d1f0877" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81907820,"asset_id":73356882,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81907820/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="73356882"><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="73356882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73356882; 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</script> <div class="js-work-strip profile--work_container" data-work-id="73356840"><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/73356840/Assessing_Solar_Electricity_Potential_and_Prospective_Present_Day_Costs_For_A_Low_Latitude_Caribbean_Island_Trinidad"><img alt="Research paper thumbnail of Assessing Solar Electricity Potential and Prospective Present Day Costs For A Low Latitude Caribbean Island: Trinidad" 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/73356840/Assessing_Solar_Electricity_Potential_and_Prospective_Present_Day_Costs_For_A_Low_Latitude_Caribbean_Island_Trinidad">Assessing Solar Electricity Potential and Prospective Present Day Costs For A Low Latitude Caribbean Island: Trinidad</a></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="73356840"><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="73356840"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73356840; 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</script> <div class="js-work-strip profile--work_container" data-work-id="65578198"><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/65578198/Modelling_of_transport_of_air_pollutants_from_the_offshore_petroleum_industry_of_Trinidad"><img alt="Research paper thumbnail of Modelling of transport of air pollutants from the offshore petroleum industry of Trinidad" class="work-thumbnail" src="https://attachments.academia-assets.com/77111928/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/65578198/Modelling_of_transport_of_air_pollutants_from_the_offshore_petroleum_industry_of_Trinidad">Modelling of transport of air pollutants from the offshore petroleum industry of Trinidad</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Modelling of Transport of Air Pollutants from the Offshore Petroleum Industry of Trinidad Xsitaaz...</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">Modelling of Transport of Air Pollutants from the Offshore Petroleum Industry of Trinidad Xsitaaz Twinkle Chadee This work entailed the development of the first coupled regulatory dispersion and meteorological model called the Regulatory Dispersion Model for Offshore Tropical Conditions (ReDMOTropiC), for determining the distribution of air pollutants arising from sources located in the ocean in a tropical environment namely the Caribbean Islands, and the investigation of the impact of sulphur dioxide emissions originating from the offshore oil and gas industry of the east coast of Trinidad on the internationally protected Nariva Swamp. ReDMOTropiC comprises of two distinct modules; a meteorological module which determines secondary parameters for marine tropical conditions, and .1 dispersion module which uses the computed secondary parameters to compute concentration distributions. ReDMOTropiC is applicable to homogeneous, stationary meteorological conditions. ReDMOTropiC, used in ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="dae313e29501a52dac4599de0780c9b1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":77111928,"asset_id":65578198,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/77111928/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="65578198"><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="65578198"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 65578198; 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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="1320628" id="papers"><div class="js-work-strip profile--work_container" data-work-id="107418283"><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/107418283/Violations_at_the_Reference_Point_of_Discontinuity_Limitations_of_Prospect_Theory_and_an_Alternative_Model_of_Risk_Choices"><img alt="Research paper thumbnail of Violations at the Reference Point of Discontinuity: Limitations of Prospect Theory and an Alternative Model of Risk Choices" class="work-thumbnail" src="https://attachments.academia-assets.com/106089804/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/107418283/Violations_at_the_Reference_Point_of_Discontinuity_Limitations_of_Prospect_Theory_and_an_Alternative_Model_of_Risk_Choices">Violations at the Reference Point of Discontinuity: Limitations of Prospect Theory and an Alternative Model of Risk Choices</a></div><div class="wp-workCard_item"><span>Emerging science journal</span><span>, Feb 1, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the...</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 tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the geometrical notion that there is a discontinuity between gains and losses, and that individual preferences change relative to a reference point. This results in PT having three distinct parameters; concavity, convexity and the reference point represented as a disjoint between the concavity and convexity sections of the curve. The objective of this paper is to examine the geometrical violations of PT at the zero point of reference. This qualitative study adopted a theoretical review of PT and Markowitz's triply inflected value function concept to unravel methodological assumptions which were not fully addressed by either PT or cumulative PT. Our findings suggest a need to account for continuity and to resolve this violation of PT at the reference point. In so doing, an alternative preference transition theory, was proposed as a solution that includes a phase change space to cojoin these three separate parameters into one continuous nonlinear model. This novel conceptual model adds new knowledge of risk and uncertainty in decision making. Through a better understanding of an individual's reference point in decision making behaviour, we add to contemporary debate by complementing empirical studies and harmonizing research in this field.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0b86873f9878a33f69e091f64ac1aab5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089804,"asset_id":107418283,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089804/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="107418283"><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="107418283"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418283; 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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="107418282"><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/107418282/Systemic_Issues_Influencing_Technical_Certainty_in_Social_Housing_Programmes_in_a_Small_Island_Developing_State"><img alt="Research paper thumbnail of Systemic Issues Influencing Technical Certainty in Social Housing Programmes in a Small Island Developing State" class="work-thumbnail" src="https://attachments.academia-assets.com/106089772/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/107418282/Systemic_Issues_Influencing_Technical_Certainty_in_Social_Housing_Programmes_in_a_Small_Island_Developing_State">Systemic Issues Influencing Technical Certainty in Social Housing Programmes in a Small Island Developing State</a></div><div class="wp-workCard_item"><span>Buildings</span><span>, Feb 12, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</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 article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="48390d88ba51864f3bda57939263355b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089772,"asset_id":107418282,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089772/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="107418282"><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="107418282"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418282; 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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="107418279"><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/107418279/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power"><img alt="Research paper thumbnail of Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power" class="work-thumbnail" src="https://attachments.academia-assets.com/106089767/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/107418279/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power">Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power</a></div><div class="wp-workCard_item"><span>ISRN Renewable Energy (Print)</span><span>, Sep 26, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The standard air density of 1.225 kg m −3 is often used in determining the energy output of a win...</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 standard air density of 1.225 kg m −3 is often used in determining the energy output of a wind turbine although the energy output is dependent on a site's air density. By using measurements of temperature, dew-point temperature, and pressure, we calculate the monthly air density of moist tropical climates at two sites in the small-island state of Trinidad and Tobago. In addition, we calculate the energy output of a BOREAS 30 kW small wind turbine using the 10 m level wind speed distribution extrapolated to hub height. The average air densities at Crown Point and Piarco were 1.156 kg m −3 and 1.159 kg m −3 , respectively, and monthly air densities at both sites were at most 6% less than standard air density. The difference in energy output of the BOREAS 30 kW calculated using standard air density over that using the local site's air density could provide electrical energy for the continuous monthly operation of 6 light bulbs rated at 50 W at Crown Point and 4 light bulbs at Piarco. Thus, communities interested in implementing wind turbine technologies must use the local air density of the site when sizing a wind turbine system for its needs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c7e7735f49acc3c01aad0c73bbba9e2d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089767,"asset_id":107418279,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089767/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="107418279"><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="107418279"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418279; 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</script> <div class="js-work-strip profile--work_container" data-work-id="107418269"><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/107418269/Variations_in_extreme_temperature_and_precipitation_for_a_Caribbean_island_Barbados_1969_2017_"><img alt="Research paper thumbnail of Variations in extreme temperature and precipitation for a Caribbean island: Barbados (1969–2017)" class="work-thumbnail" src="https://attachments.academia-assets.com/106089801/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/107418269/Variations_in_extreme_temperature_and_precipitation_for_a_Caribbean_island_Barbados_1969_2017_">Variations in extreme temperature and precipitation for a Caribbean island: Barbados (1969–2017)</a></div><div class="wp-workCard_item"><span>Theoretical and Applied Climatology</span><span>, Mar 6, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Temperature and precipitation in situ datasets for the Caribbean island, Trinidad for 1961-2010 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">Temperature and precipitation in situ datasets for the Caribbean island, Trinidad for 1961-2010 were statistically analyzed using the RClimDex software and the Mann-Kendall test for trends. The annual, seasonal, and monthly findings were compared with regional projections; Providing Regional Climates for Impact Studies (PRECIS) and a 20 km atmospheric global circulation model, and a global projection of the Coupled Model Intercomparison Project Phase 3 (CMIP3). Overall, the seasonal and decadal results revealed patterns different from the annual warming. All the temperature indices were found to have warming patterns with the wet season, June to December, generally greater than the dry season, January to May. The warmest decade was 1980s, whereas globally, the decade 2001-2010 was the warmest. There was an increase in the annual maximum 5 day precipitation, RX5day, at the UWI station. During the dry season (1973-2010) at the UFS and UWI stations, the RX5day increased by 8.60 and 7.76 mm per decade, respectively, while the maximum 1-day precipitation, RX1day, increased by 2.92 and 8.90 mm per decade for the UFS and UWI, respectively. The 1980s was the wettest, and during the decade 2001-2010, there were above averages for the consecutive dry days (CDD) and the simple daily intensity index (SDII). The projections on both the regional and global outlooks suggest that this warming pattern will continue in the future. This small-scale study supports that seasonal and decadal analyses, in addition to the annual assessments, are significant for the understanding of the climate variability which is required for vulnerability and adaptation studies for small island states. 1 Introduction/Objectives The risks associated with extreme climate events and our ability to assess and manage them affect the sustainability of economic development and living conditions. It was projected that some extremes will become more frequent, widespread, and intense during the 21 st century (IPCC 2007). These may lead to more droughts or flooding events and may affect water resources, agriculture, infrastructure, and biodiversity. Current information on changes in climate extremes is therefore needed to aid in vulnerability assessments and mitigation options. Recent trends in both temperature and precipitation and their related extreme indices are supported by studies on the global and regional scales which clearly show a tendency of a warming climate (Trenberth et al. 2007; Karmalkar et al. 2013 and Stephenson et al. 2014). The IPCC 5th Assessment Report stated that almost the entire globe has experienced surface warming, and the global mean surface air temperature rose at a rate of 0.85°C over the period from 1880 to 2012 (IPCC 2013). Over small island states such as in the Caribbean, Indian Ocean, and Mediterranean regions, analyses show warming ranged from 0 to 0.5°C per decade for the 1971 to 2004 period (Trenberth et al. 2007). Furthermore, there is a good agreement with the historical temperature trends for the Caribbean and the global warming patterns (Karmalkar et al. 2013 and Stephenson et al. 2014). A global analysis of extreme weather was coordinated by efforts by the joint World Meteorological Organization Commission for Climatology (CCI)/World Climate Research</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ebf53da09cb2821625dc0d1d793a35f5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089801,"asset_id":107418269,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089801/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="107418269"><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="107418269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418269; 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$(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="107418266"><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/107418266/Trends_in_extreme_temperature_and_precipitation_indices_for_the_Caribbean_small_islands_Trinidad_and_Tobago"><img alt="Research paper thumbnail of Trends in extreme temperature and precipitation indices for the Caribbean small islands: Trinidad and Tobago" class="work-thumbnail" src="https://attachments.academia-assets.com/106089803/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/107418266/Trends_in_extreme_temperature_and_precipitation_indices_for_the_Caribbean_small_islands_Trinidad_and_Tobago">Trends in extreme temperature and precipitation indices for the Caribbean small islands: Trinidad and Tobago</a></div><div class="wp-workCard_item"><span>Theoretical and Applied Climatology</span><span>, Mar 27, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Trends in extreme temperature and rainfall were analyzed for two Caribbean islands in close proxi...</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">Trends in extreme temperature and rainfall were analyzed for two Caribbean islands in close proximity: Tobago (Crown Point) and Trinidad (Piarco) for the most recent period 1985-2015 using daily data. Most annual extreme temperature indices at Crown Point show no significant warming. However, warming at Crown Point manifests during the wet season and strongly in September. In contrast, most extreme temperature indices at Piarco show significant warming trends on annual and seasonal scales as well as for most months. Extreme precipitation indices show few trends. For Crown Point, trends indicate an increase in annual precipitation totals and extremely wet days were observed, whereas no significant trends in annual indices were found for Piarco. The greatest 5-day rainfall amounts were found to increase during the dry season at both sites. When compared to previous regional studies, this specific territory approach highlights that most indices with no significant regional trends also do not show trends at the local scale. Furthermore, differences in trends between these two nearby sites, 80 km apart, indicate that there is a spatial variation in warming trends.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="39fe9db33b5c021e0086667956f7c96a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089803,"asset_id":107418266,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089803/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="107418266"><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="107418266"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418266; 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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="107418263"><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/107418263/Optimizing_the_Weather_Research_and_Forecasting_WRF_Model_for_Mapping_the_Near_Surface_Wind_Resources_over_the_Southernmost_Caribbean_Islands_of_Trinidad_and_Tobago"><img alt="Research paper thumbnail of Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago" class="work-thumbnail" src="https://attachments.academia-assets.com/106089762/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/107418263/Optimizing_the_Weather_Research_and_Forecasting_WRF_Model_for_Mapping_the_Near_Surface_Wind_Resources_over_the_Southernmost_Caribbean_Islands_of_Trinidad_and_Tobago">Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago</a></div><div class="wp-workCard_item"><span>Energies</span><span>, Jul 5, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Numerical wind mapping is currently the wind power industry's standard for preliminary assessment...</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">Numerical wind mapping is currently the wind power industry's standard for preliminary assessments for sites of good wind resources. Of the various available numerical models, numerical weather prediction (NWP) models are best suited for modeling mesoscale wind flows across small islands. In this study, the Weather Research and Forecast (WRF) NWP model was optimized for simulating the wind resources of the Caribbean islands of Trinidad and Tobago in terms of spin-up period for developing mesoscale features, the input initial and boundary conditions, and the planetary boundary layer (PBL) parameterizations. Hourly model simulations of wind speed and wind direction for a one-month period were compared with corresponding 10 m level wind observations. The National Center for Environmental Prediction (NCEP)-Department of Energy (DOE) reanalysis of 1.875 • horizontal resolution was found to be better suited to provide initial and boundary conditions (ICBCs) over the 1 • resolution NCEP final analysis (FNL); 86% of modeled wind speeds were within ±2 m/s of measured values at two locations when the coarse resolution NCEP reanalysis was used as compared with 55-64% of modeled wind speeds derived from FNL. Among seven PBL schemes tested, the Yonsei University PBL scheme with topographic drag enabled minimizes the spatial error in wind speed (mean bias error +0.16 m/s, root-mean-square error 1.53 m/s and mean absolute error 1.21 m/s) and is capable of modeling the bimodal wind speed histogram. These sensitivity tests provide a suitable configuration for the WRF model for mapping the wind resources over Trinidad and Tobago, which is a factor in developing a wind energy sector in these islands.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c8260d934360490be4a313ddff492f38" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089762,"asset_id":107418263,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089762/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="107418263"><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="107418263"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418263; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107418263]").text(description); $(".js-view-count[data-work-id=107418263]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107418263; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107418263']"); 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: "c8260d934360490be4a313ddff492f38" } } $('.js-work-strip[data-work-id=107418263]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107418263,"title":"Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago","internal_url":"https://www.academia.edu/107418263/Optimizing_the_Weather_Research_and_Forecasting_WRF_Model_for_Mapping_the_Near_Surface_Wind_Resources_over_the_Southernmost_Caribbean_Islands_of_Trinidad_and_Tobago","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"attachments":[{"id":106089762,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106089762/thumbnails/1.jpg","file_name":"energies-10-00931.pdf","download_url":"https://www.academia.edu/attachments/106089762/download_file","bulk_download_file_name":"Optimizing_the_Weather_Research_and_Fore.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106089762/energies-10-00931-libre.pdf?1696099699=\u0026response-content-disposition=attachment%3B+filename%3DOptimizing_the_Weather_Research_and_Fore.pdf\u0026Expires=1741029314\u0026Signature=cxH6uJQfGATxAfaxmyA-Hph09kye7mwus1iLBeMqo24e9xky5LP48EEjtizmjD2dm8vlBX5NT7~jcP~f8Rnrp6wkNMZae3a2GBI5IfsW51L6pXR6MgwE7XA~0f4mm2yc-3EzHNdOlHoqSi8maMGlITrm5CcWJXyii3Re7XyQbvtybst0pM~~Bb2RNVbQqKwCtSaauxcwPgyk7p2enQFbjBf7vrNmP05PZXxBX~3b4NXExLU6JebyScKLaf8ddFFT54T0QbESFXtWYHRns7tzCsotXz9hy-HZfSZEOk0gYJa6jrXlfmYlRYeF3Chk90s97zq41tbAxS49PB5VvOYhHQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":106089758,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106089758/thumbnails/1.jpg","file_name":"energies-10-00931.pdf","download_url":"https://www.academia.edu/attachments/106089758/download_file","bulk_download_file_name":"Optimizing_the_Weather_Research_and_Fore.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106089758/energies-10-00931-libre.pdf?1696099697=\u0026response-content-disposition=attachment%3B+filename%3DOptimizing_the_Weather_Research_and_Fore.pdf\u0026Expires=1741029314\u0026Signature=TqFnuoaGB2xlX5k5JYB~W3m9cnn1sNqWBB6J3mwnI5qDeuCWJakiYtIh0pZBbKPZQpJRF~MDn1-VdOlmj-g1RUUmDeSx0iBVl8JR4m6RsP1xMYvgJH0TmOi~fltmfEylnzLmcB~gO0vnPNDRbUzOClC8hBJbBLMXcbV5Q28g4RMOr6TXRZB~4VoB5unbH0lrYpsjhyJpn47IScui8Oyrb~x2hFlsuRfiAHTizKKsUS6HG60QDewPNKQG74rSr3-K75wa78pySwhMcrcFbSoEP6kd5cZPVy~Gs49dUiebxRZwdLFtC~-bKkTxAnNRBmC5sXHWAUaEoND-SsO8r63geQ__\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="107418261"><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/107418261/Wind_resources_and_the_levelized_cost_of_wind_generated_electricity_in_the_Caribbean_islands_of_Trinidad_and_Tobago"><img alt="Research paper thumbnail of Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago" class="work-thumbnail" src="https://attachments.academia-assets.com/106089796/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/107418261/Wind_resources_and_the_levelized_cost_of_wind_generated_electricity_in_the_Caribbean_islands_of_Trinidad_and_Tobago">Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago</a></div><div class="wp-workCard_item"><span>Renewable & Sustainable Energy Reviews</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Affordable renewable energy is one key criterion for the long-term economic growth of Caribbean 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">Affordable renewable energy is one key criterion for the long-term economic growth of Caribbean small island countries. The southernmost Caribbean islands, Trinidad and Tobago, have one of the lowest electricity rates in the region due to an indigenous source of hydrocarbons. In this study, technical and economic assessments were conducted to determine the levelized cost of electricity (LCOE) generation from the wind in these Caribbean islands. The assessments used extrapolations of 10 m level wind data sets for the two sites with long-term measurements (1989-2009), Crown Point and Piarco, and wind turbine characteristics of eight wind energy conversion systems ranging from 20 kW to 3050 kW. The annual average wind speeds at the 80 m height above ground were estimated to be 6.93 m/s and 5.86 m/s at Crown Point and Piarco, respectively, while corresponding estimates of wind power densities were 381 W m −2 and 296 W m −2. The projected LCOEs for the large wind turbines, 1500 kW and greater, were less than the current subsidized residential tariff of US</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="308f871a301ee039b3cf082b3edc533a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106089796,"asset_id":107418261,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106089796/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="107418261"><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="107418261"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418261; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "308f871a301ee039b3cf082b3edc533a" } } $('.js-work-strip[data-work-id=107418261]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107418261,"title":"Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago","internal_url":"https://www.academia.edu/107418261/Wind_resources_and_the_levelized_cost_of_wind_generated_electricity_in_the_Caribbean_islands_of_Trinidad_and_Tobago","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"attachments":[{"id":106089796,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106089796/thumbnails/1.jpg","file_name":"j.rser.2017.06.05920230930-1-5w56uj.pdf","download_url":"https://www.academia.edu/attachments/106089796/download_file","bulk_download_file_name":"Wind_resources_and_the_levelized_cost_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106089796/j.rser.2017.06.05920230930-1-5w56uj-libre.pdf?1696099669=\u0026response-content-disposition=attachment%3B+filename%3DWind_resources_and_the_levelized_cost_of.pdf\u0026Expires=1741029314\u0026Signature=HXZmUH8zzwsxHLjyaDuxieE9GVgnVitArc-~6HtA6d6-rdFXm-lw99oKYKv~bpyt5NDDqZDuIkD9hFYKr34mpZhp29WxDcaR8h7KFhGhuyeIzC5NvUo8WmE2syvXLS-mrropNB13huQVtHLHQyjFlPP-2JLWSwPFZ29LMqeF4uiZaYlejQhh93xMaGiRwFu2tsqghtxkGUmo-F0PK755gBc5f1M3pkF0JBV2U9nPMYc7pd7dnITeZbQreyE-NjRqNIG8okHli7ffJ7-Vhn0RKElCP2qyvQBFQn62g21HafoWVLHI0gAQF2zsgxaCpfezz8KcLAOW3qFnPX3SKKIGcA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107418233"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/107418233/Root_Cause_of_Cost_Overrun_Risks_in_Public_Sector_Social_Housing_Programs_in_SIDS_Fuzzy_Synthetic_Evaluation"><img alt="Research paper thumbnail of Root Cause of Cost Overrun Risks in Public Sector Social Housing Programs in SIDS: Fuzzy Synthetic Evaluation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/107418233/Root_Cause_of_Cost_Overrun_Risks_in_Public_Sector_Social_Housing_Programs_in_SIDS_Fuzzy_Synthetic_Evaluation">Root Cause of Cost Overrun Risks in Public Sector Social Housing Programs in SIDS: Fuzzy Synthetic Evaluation</a></div><div class="wp-workCard_item"><span>Journal of Construction Engineering and Management</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107418233"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="107418233"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107418233; 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</script> <div class="js-work-strip profile--work_container" data-work-id="98121151"><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/98121151/A_Just_Energy_Transition_for_a_Hydrocarbon_Rich_Sids"><img alt="Research paper thumbnail of A Just Energy Transition for a Hydrocarbon Rich Sids" 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/98121151/A_Just_Energy_Transition_for_a_Hydrocarbon_Rich_Sids">A Just Energy Transition for a Hydrocarbon Rich Sids</a></div><div class="wp-workCard_item"><span>SSRN Electronic Journal</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="98121151"><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="98121151"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98121151; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=98121151]").text(description); $(".js-view-count[data-work-id=98121151]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 98121151; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='98121151']"); 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" } } $('.js-work-strip[data-work-id=98121151]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":98121151,"title":"A Just Energy Transition for a Hydrocarbon Rich Sids","internal_url":"https://www.academia.edu/98121151/A_Just_Energy_Transition_for_a_Hydrocarbon_Rich_Sids","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"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="98121147"><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/98121147/A_Prefeasibility_Solar_Photovoltaic_Tool_for_Tropical_Small_Island_Developing_States"><img alt="Research paper thumbnail of A Prefeasibility Solar Photovoltaic Tool for Tropical Small Island Developing States" class="work-thumbnail" src="https://attachments.academia-assets.com/99559288/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/98121147/A_Prefeasibility_Solar_Photovoltaic_Tool_for_Tropical_Small_Island_Developing_States">A Prefeasibility Solar Photovoltaic Tool for Tropical Small Island Developing States</a></div><div class="wp-workCard_item"><span>Energies</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Small island developing states (SIDS) are the lowest emitters of greenhouse gases yet are the mos...</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">Small island developing states (SIDS) are the lowest emitters of greenhouse gases yet are the most vulnerable to the impacts of global climate warming. Many islands, such as the Caribbean islands, identified solar photovoltaics as a technology for reducing greenhouse gas emissions from their electricity sector. However, prefeasibility economic studies for photovoltaics are challenging as operational photovoltaic system data are nonexistent, and the measured solar radiation datasets are limited. Thus, a prefeasibility PV tool that uses ground-measured global horizontal irradiation and a supplementary photovoltaic derating factor model is proposed for use in tropical SIDS. In addition, the bias of a modelled irradiation dataset was quantified with limited solar radiation data for a tropical Caribbean SIDS, Trinidad and Tobago. For this SIDS, the tool estimates the annual energy output of a 50 MW photovoltaic system to be 57,890 MWh and the levelized cost of electricity to be USD 0.12/...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a977347ad17815f8d2a5842c9d8f4bff" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":99559288,"asset_id":98121147,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/99559288/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="98121147"><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="98121147"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 98121147; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="79116126"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/79116126/Classification_of_the_Large_scale_Atmospheric_Circulation_over_the_Caribbean"><img alt="Research paper thumbnail of Classification of the Large-scale Atmospheric Circulation over the Caribbean" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/79116126/Classification_of_the_Large_scale_Atmospheric_Circulation_over_the_Caribbean">Classification of the Large-scale Atmospheric Circulation over the Caribbean</a></div><div class="wp-workCard_item"><span>AGU Fall Meeting Abstracts</span><span>, Dec 1, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="79116126"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="79116126"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79116126; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79116126]").text(description); $(".js-view-count[data-work-id=79116126]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79116126; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79116126']"); 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" } } $('.js-work-strip[data-work-id=79116126]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79116126,"title":"Classification of the Large-scale Atmospheric Circulation over the Caribbean","internal_url":"https://www.academia.edu/79116126/Classification_of_the_Large_scale_Atmospheric_Circulation_over_the_Caribbean","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"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="79116065"><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/79116065/Implications_of_Lock_in_on_Public_Sector_Project_Management_in_a_Small_Island_Development_State"><img alt="Research paper thumbnail of Implications of ‘Lock-in’ on Public Sector Project Management in a Small Island Development State" class="work-thumbnail" src="https://attachments.academia-assets.com/85947064/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/79116065/Implications_of_Lock_in_on_Public_Sector_Project_Management_in_a_Small_Island_Development_State">Implications of ‘Lock-in’ on Public Sector Project Management in a Small Island Development State</a></div><div class="wp-workCard_item"><span>Buildings</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The concept of ‘Lock-In’, or the escalating cost of overcommitment on a project to a failing cour...</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 concept of ‘Lock-In’, or the escalating cost of overcommitment on a project to a failing course of action, has unforeseeable implications in project management. This paper presents a case study on the occurrence and consequences of lock-in within the context of public sector housing projects in a small island developing state (SIDS). It demonstrates that cost overruns continue beyond the commissioning phase and throughout the project’s lifecycle, even though technical contingencies were implemented to deliver the intended project benefits. The findings unpack the implications of political expediency as a strategic tool mobilised to supersede proper technical decision-making prior to project execution. It concludes that project practitioners’ commitment to select and continue with a sub-optimal project can lead to the implementation of ineffective solutions to justify their actions, resulting in failed outcomes with negative social consequences. This research helps to advance pro...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="364bba274404ce37a0a697d0a4af141f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85947064,"asset_id":79116065,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85947064/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="79116065"><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="79116065"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79116065; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "364bba274404ce37a0a697d0a4af141f" } } $('.js-work-strip[data-work-id=79116065]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79116065,"title":"Implications of ‘Lock-in’ on Public Sector Project Management in a Small Island Development State","internal_url":"https://www.academia.edu/79116065/Implications_of_Lock_in_on_Public_Sector_Project_Management_in_a_Small_Island_Development_State","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"attachments":[{"id":85947064,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/85947064/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/85947064/download_file","bulk_download_file_name":"Implications_of_Lock_in_on_Public_Sector.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/85947064/pdf-libre.pdf?1652643912=\u0026response-content-disposition=attachment%3B+filename%3DImplications_of_Lock_in_on_Public_Sector.pdf\u0026Expires=1741029314\u0026Signature=Yk-wP6Ndeae76a6flUGYVlzF-7Qs1qLqs1utVhQ-3ZoaRK2HEoWFW3BHU7XKLRFGwslYtWWBcmXjzv0tNbPx1KIpcBA67xDETcTDhQueMTnvRgrZQiZXC0jowNFyamlKU-e8wfqmaEUysbFl-Xu3vSBZEKQuA7wL-ZboFU6GR2~ycxK89I52zsbmV8Suv~p2OBcQbUeNLv677hxav0XH7svIwpEWFa5D3cp~010ZPOpk6-ciTs0QHkv8TJANgvpPCTwflIWHVZEM-F8vufNygb6RxZlefInvJEDqeAuWSa5Zkp94UYl~WYMCUOjJKaL8Sg~CpIETQ~0fCbQS2kaA8A__\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="79116032"><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/79116032/Daily_near_surface_large_scale_atmospheric_circulation_patterns_over_the_wider_Caribbean"><img alt="Research paper thumbnail of Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean" class="work-thumbnail" src="https://attachments.academia-assets.com/85947040/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/79116032/Daily_near_surface_large_scale_atmospheric_circulation_patterns_over_the_wider_Caribbean">Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean</a></div><div class="wp-workCard_item"><span>Climate Dynamics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">this work comprise the first atmospheric circulation catalogue, of many to come, for the Caribbea...</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 work comprise the first atmospheric circulation catalogue, of many to come, for the Caribbean region and may be useful in statistical-dynamical downscaling applications to explain the variability of surface weather variables such as wind speeds.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="49b6925840b0b619ac78dc83e5688493" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85947040,"asset_id":79116032,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85947040/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="79116032"><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="79116032"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79116032; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79116032]").text(description); $(".js-view-count[data-work-id=79116032]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79116032; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='79116032']"); 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: "49b6925840b0b619ac78dc83e5688493" } } $('.js-work-strip[data-work-id=79116032]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79116032,"title":"Daily near-surface large-scale atmospheric circulation patterns over the wider Caribbean","internal_url":"https://www.academia.edu/79116032/Daily_near_surface_large_scale_atmospheric_circulation_patterns_over_the_wider_Caribbean","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"attachments":[{"id":85947040,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/85947040/thumbnails/1.jpg","file_name":"10.1007_2Fs00382-015-2621-2.pdf","download_url":"https://www.academia.edu/attachments/85947040/download_file","bulk_download_file_name":"Daily_near_surface_large_scale_atmospher.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/85947040/10.1007_2Fs00382-015-2621-2-libre.pdf?1652643939=\u0026response-content-disposition=attachment%3B+filename%3DDaily_near_surface_large_scale_atmospher.pdf\u0026Expires=1741029314\u0026Signature=HmjLL6SLaxNXr1mzU3iWW4YLbYmM5Gl0RyaL63dgurnkTKRoyDNW1ACvOOGp0ARZNILX~IBC3d0Ik8L6~YahWQCRg24hAVacjs7NgN9m4svWWvQovZ30MVW1TUevM0BBNM2iPoe5AYX-IA7sOijiN3epYTPuGOOnlxCSFNXhtqYiNPN04-UuInw9u~qVjhtv1ULBbiZtxBj6PJV2Bx4TqXD2Zlzo810eDBMNxxbbANNhE8m5N2YVyXKMzRe4Ni90OgONHUqKunUzfHhtj11NK6PgLpGRMy36XvF9RnFwplAM5C6jSyIZQ44que-8pkQGSS6RwFWDRY5P~XTFwG6vOA__\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="79115969"><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/79115969/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power"><img alt="Research paper thumbnail of Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power" class="work-thumbnail" src="https://attachments.academia-assets.com/85947022/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/79115969/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power">Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power</a></div><div class="wp-workCard_item"><span>ISRN Renewable Energy</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The standard air density of 1.225 kg m−3is often used in determining the energy output of a wind ...</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 standard air density of 1.225 kg m−3is often used in determining the energy output of a wind turbine although the energy output is dependent on a site&#39;s air density. By using measurements of temperature, dew-point temperature, and pressure, we calculate the monthly air density of moist tropical climates at two sites in the small-island state of Trinidad and Tobago. In addition, we calculate the energy output of a BOREAS 30 kW small wind turbine using the 10 m level wind speed distribution extrapolated to hub height. The average air densities at Crown Point and Piarco were 1.156 kg m−3and 1.159 kg m−3, respectively, and monthly air densities at both sites were at most 6% less than standard air density. The difference in energy output of the BOREAS 30 kW calculated using standard air density over that using the local site&#39;s air density could provide electrical energy for the continuous monthly operation of 6 light bulbs rated at 50 W at Crown Point and 4 light bulbs at Pia...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="32e2a7d480a1ecaf6aba97509a23c408" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85947022,"asset_id":79115969,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85947022/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="79115969"><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="79115969"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79115969; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "32e2a7d480a1ecaf6aba97509a23c408" } } $('.js-work-strip[data-work-id=79115969]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":79115969,"title":"Air Density Climate of Two Caribbean Tropical Islands and Relevance to Wind Power","internal_url":"https://www.academia.edu/79115969/Air_Density_Climate_of_Two_Caribbean_Tropical_Islands_and_Relevance_to_Wind_Power","owner_id":10830223,"coauthors_can_edit":true,"owner":{"id":10830223,"first_name":"Xsitaaz","middle_initials":null,"last_name":"Chadee","page_name":"XsitaazChadee","domain_name":"westindiesstaugustine","created_at":"2014-04-05T06:16:15.527-07:00","display_name":"Xsitaaz Chadee","url":"https://westindiesstaugustine.academia.edu/XsitaazChadee"},"attachments":[{"id":85947022,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/85947022/thumbnails/1.jpg","file_name":"378027.pdf","download_url":"https://www.academia.edu/attachments/85947022/download_file","bulk_download_file_name":"Air_Density_Climate_of_Two_Caribbean_Tro.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/85947022/378027-libre.pdf?1652643920=\u0026response-content-disposition=attachment%3B+filename%3DAir_Density_Climate_of_Two_Caribbean_Tro.pdf\u0026Expires=1741029314\u0026Signature=cb3EMIG-AqHtbHPiNklJpHACw1kTN1094BYAn6WWz12mErpRhAhTT288Li8H1Epmt1HbfGT4FomASwB4u2-inucuiELjq9kjsZe3DHyHe2pSYpcjPJkA1pcnLNR-a3oXMdGGH10b63phLxhebiZkLV3BwcbTqfi3nYzxyz8UPJOjqxaPbIFvyO-gjGd~ECemHJpV4U9JJmNO0DRDItRoFdVmUMTgfKwo0hTOvVsGGcCTpBW04uKvcV54YMIs8wGCiwZq3F-ZIMDTv8sfwgHubHEb8YSC-M3PXAkhgqqwRiGfMC8SbeedymStx0p0QUkSBJFj9FgULcWxxVoK6NNN2w__\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="79115899"><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/79115899/Large_scale_wind_energy_potential_of_the_Caribbean_region_using_near_surface_reanalysis_data"><img alt="Research paper thumbnail of Large-scale wind energy potential of the Caribbean region using near-surface reanalysis data" class="work-thumbnail" src="https://attachments.academia-assets.com/85946995/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/79115899/Large_scale_wind_energy_potential_of_the_Caribbean_region_using_near_surface_reanalysis_data">Large-scale wind energy potential of the Caribbean region using near-surface reanalysis data</a></div><div class="wp-workCard_item"><span>Renewable and Sustainable Energy Reviews</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The lack of dense, high quality, long-term in-situ wind data sets and wind resource maps for the ...</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 lack of dense, high quality, long-term in-situ wind data sets and wind resource maps for the Caribbean region is a major impediment to the development of wind energy projects. Thus, there is limited understanding of the large-scale near-surface wind climate and the regional wind resources. Through statistical analyses on 10 m level NCEP/DOE reanalysis wind data for the period 1979-2010, this work found that although the prevailing winds are from the east-northeast over the eastern Caribbean islands, their wind direction distributions are bimodal. The regional area-averaged wind speed attains a maximum in January and a secondary maximum in July which coincides with the Caribbean MidSummer Drought. The derived regional annual wind resource map shows that the Caribbean lowlevel jet (CLLJ) region is an area of superb wind power density (WPD), 400-600 W/m 2 , the eastern Caribbean and the Netherland Antilles are locations of excellent resource, 300-400 W/m 2 , and the Greater Antilles and the Bahamas are areas of good-very good resource, 200-300 W/m 2. In general, WPDs are greater in the dry season than the wet season. The regional mean annual area-averaged WPD is 308 W/m 2 with mean WPDs of 350 W/m 2 for the dry season, 290 W/m 2 for the early rainy season, and 247 W/m 2 for the late rainy season. Annual WPDs vary within7 18% of their mean. The area-averaged WPD ranges from 124 to 592 W/m 2 (7 92% of mean annual WPD) depending on the year, season, or month. Therefore, the reanalysis data are shown to be suitable for general assessments of the wind resources in the Caribbean and thus, may be used as initial and boundary conditions in numerical models for the development of high resolution wind maps through dynamical downscaling.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac7d177c46a69a2f669cc64e0530eb25" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":85946995,"asset_id":79115899,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/85946995/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="79115899"><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="79115899"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79115899; 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This results in PT having three distinct parameters; concavity, convexity and the reference point represented as a disjoint between the concavity and convexity sections of the curve. The objective of this paper is to examine the geometrical violations of PT at the zero point of reference. This qualitative study adopted a theoretical review of PT and Markowitz’s triply inflected value function concept to unravel methodological assumptions which were not fully addressed by either PT or cumulative PT. Our findings suggest a need to account for continuity and to resolve this violation of PT at the reference point. In so doing, an alternative preference transition theory, was proposed as a solution that includes a phase change space to cojoin these ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0b0cdb73398cdaebbe08dec94d1f0877" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81907820,"asset_id":73356882,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81907820/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="73356882"><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="73356882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73356882; 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</script> <div class="js-work-strip profile--work_container" data-work-id="65578198"><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/65578198/Modelling_of_transport_of_air_pollutants_from_the_offshore_petroleum_industry_of_Trinidad"><img alt="Research paper thumbnail of Modelling of transport of air pollutants from the offshore petroleum industry of Trinidad" class="work-thumbnail" src="https://attachments.academia-assets.com/77111928/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/65578198/Modelling_of_transport_of_air_pollutants_from_the_offshore_petroleum_industry_of_Trinidad">Modelling of transport of air pollutants from the offshore petroleum industry of Trinidad</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Modelling of Transport of Air Pollutants from the Offshore Petroleum Industry of Trinidad Xsitaaz...</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">Modelling of Transport of Air Pollutants from the Offshore Petroleum Industry of Trinidad Xsitaaz Twinkle Chadee This work entailed the development of the first coupled regulatory dispersion and meteorological model called the Regulatory Dispersion Model for Offshore Tropical Conditions (ReDMOTropiC), for determining the distribution of air pollutants arising from sources located in the ocean in a tropical environment namely the Caribbean Islands, and the investigation of the impact of sulphur dioxide emissions originating from the offshore oil and gas industry of the east coast of Trinidad on the internationally protected Nariva Swamp. ReDMOTropiC comprises of two distinct modules; a meteorological module which determines secondary parameters for marine tropical conditions, and .1 dispersion module which uses the computed secondary parameters to compute concentration distributions. ReDMOTropiC is applicable to homogeneous, stationary meteorological conditions. ReDMOTropiC, used in ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="dae313e29501a52dac4599de0780c9b1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":77111928,"asset_id":65578198,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/77111928/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="65578198"><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="65578198"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 65578198; 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