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system optimization models</title> <meta name="description" content="Search results for: energy system optimization models"> <meta name="keywords" content="energy system optimization models"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="energy system optimization models"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 29737</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: energy system optimization models</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29737</span> Technical and Practical Aspects of Sizing a Autonomous PV System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelhak%20Bouchakour">Abdelhak Bouchakour</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Brahami"> Mustafa Brahami</a>, <a href="https://publications.waset.org/abstracts/search?q=Layachi%20Zaghba"> Layachi Zaghba </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of photovoltaic energy offers an inexhaustible supply of energy but also a clean and non-polluting energy, which is a definite advantage. The geographical location of Algeria promotes the development of the use of this energy. Indeed, given the importance of the intensity of the radiation received and the duration of sunshine. For this reason, the objective of our work is to develop a data-processing tool (software) of calculation and optimization of dimensioning of the photovoltaic installations. Our approach of optimization is basing on mathematical models, which amongst other things describe the operation of each part of the installation, the energy production, the storage and the consumption of energy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=solar%20panel" title="solar panel">solar panel</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20radiation" title=" solar radiation"> solar radiation</a>, <a href="https://publications.waset.org/abstracts/search?q=inverter" title=" inverter"> inverter</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/33647/technical-and-practical-aspects-of-sizing-a-autonomous-pv-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33647.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">608</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29736</span> Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ioannis%20P.%20Panapakidis">Ioannis P. Panapakidis</a>, <a href="https://publications.waset.org/abstracts/search?q=Marios%20N.%20Moschakis"> Marios N. Moschakis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Greek Energy Market is structured as a mandatory pool where the producers make their bid offers in day-ahead basis. The System Operator solves an optimization routine aiming at the minimization of the cost of produced electricity. The solution of the optimization problem leads to the calculation of the System Marginal Price (SMP). Accurate forecasts of the SMP can lead to increased profits and more efficient portfolio management from the producer`s perspective. Aim of this study is to provide a comparative analysis of various machine learning models such as artificial neural networks and neuro-fuzzy models for the prediction of the SMP of the Greek market. Machine learning algorithms are favored in predictions problems since they can capture and simulate the volatilities of complex time series. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deregulated%20energy%20market" title="deregulated energy market">deregulated energy market</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20marginal%20price" title=" system marginal price"> system marginal price</a> </p> <a href="https://publications.waset.org/abstracts/85227/comparison-of-machine-learning-models-for-the-prediction-of-system-marginal-price-of-greek-energy-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85227.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">215</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29735</span> Advancements in Mathematical Modeling and Optimization for Control, Signal Processing, and Energy Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zahid%20Ullah">Zahid Ullah</a>, <a href="https://publications.waset.org/abstracts/search?q=Atlas%20Khan"> Atlas Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This abstract focuses on the advancements in mathematical modeling and optimization techniques that play a crucial role in enhancing the efficiency, reliability, and performance of these systems. In this era of rapidly evolving technology, mathematical modeling and optimization offer powerful tools to tackle the complex challenges faced by control, signal processing, and energy systems. This abstract presents the latest research and developments in mathematical methodologies, encompassing areas such as control theory, system identification, signal processing algorithms, and energy optimization. The abstract highlights the interdisciplinary nature of mathematical modeling and optimization, showcasing their applications in a wide range of domains, including power systems, communication networks, industrial automation, and renewable energy. It explores key mathematical techniques, such as linear and nonlinear programming, convex optimization, stochastic modeling, and numerical algorithms, that enable the design, analysis, and optimization of complex control and signal processing systems. Furthermore, the abstract emphasizes the importance of addressing real-world challenges in control, signal processing, and energy systems through innovative mathematical approaches. It discusses the integration of mathematical models with data-driven approaches, machine learning, and artificial intelligence to enhance system performance, adaptability, and decision-making capabilities. The abstract also underscores the significance of bridging the gap between theoretical advancements and practical applications. It recognizes the need for practical implementation of mathematical models and optimization algorithms in real-world systems, considering factors such as scalability, computational efficiency, and robustness. In summary, this abstract showcases the advancements in mathematical modeling and optimization techniques for control, signal processing, and energy systems. It highlights the interdisciplinary nature of these techniques, their applications across various domains, and their potential to address real-world challenges. The abstract emphasizes the importance of practical implementation and integration with emerging technologies to drive innovation and improve the performance of control, signal processing, and energy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mathematical%20modeling" title="mathematical modeling">mathematical modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20systems" title=" control systems"> control systems</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20systems" title=" energy systems"> energy systems</a>, <a href="https://publications.waset.org/abstracts/search?q=interdisciplinary%20applications" title=" interdisciplinary applications"> interdisciplinary applications</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20identification" title=" system identification"> system identification</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20algorithms" title=" numerical algorithms"> numerical algorithms</a> </p> <a href="https://publications.waset.org/abstracts/167509/advancements-in-mathematical-modeling-and-optimization-for-control-signal-processing-and-energy-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167509.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29734</span> Conventional and Hybrid Network Energy Systems Optimization for Canadian Community</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Ghorab">Mohamed Ghorab </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Local generated and distributed system for thermal and electrical energy is sighted in the near future to reduce transmission losses instead of the centralized system. Distributed Energy Resources (DER) is designed at different sizes (small and medium) and it is incorporated in energy distribution between the hubs. The energy generated from each technology at each hub should meet the local energy demands. Economic and environmental enhancement can be achieved when there are interaction and energy exchange between the hubs. Network energy system and CO<sub>2</sub> optimization between different six hubs presented Canadian community level are investigated in this study. Three different scenarios of technology systems are studied to meet both thermal and electrical demand loads for the six hubs. The conventional system is used as the first technology system and a reference case study. The conventional system includes boiler to provide the thermal energy, but the electrical energy is imported from the utility grid. The second technology system includes combined heat and power (CHP) system to meet the thermal demand loads and part of the electrical demand load. The third scenario has integration systems of CHP and Organic Rankine Cycle (ORC) where the thermal waste energy from the CHP system is used by ORC to generate electricity. General Algebraic Modeling System (GAMS) is used to model DER system optimization based on energy economics and CO<sub>2 </sub>emission analyses. The results are compared with the conventional energy system. The results show that scenarios 2 and 3 provide an annual total cost saving of 21.3% and 32.3 %, respectively compared to the conventional system (scenario 1). Additionally, Scenario 3 (CHP & ORC systems) provides 32.5% saving in CO<sub>2</sub> emission compared to conventional system subsequent case 2 (CHP system) with a value of 9.3%.   <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20energy%20resources" title="distributed energy resources">distributed energy resources</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20energy%20system" title=" network energy system"> network energy system</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=microgeneration%20system" title=" microgeneration system"> microgeneration system</a> </p> <a href="https://publications.waset.org/abstracts/95524/conventional-and-hybrid-network-energy-systems-optimization-for-canadian-community" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95524.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">190</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29733</span> Optimization and Feasibility Analysis of a PV/Wind/ Battery Hybrid Energy Conversion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Doaa%20M.%20Atia">Doaa M. Atia</a>, <a href="https://publications.waset.org/abstracts/search?q=Faten%20H.%20Fahmy"> Faten H. Fahmy</a>, <a href="https://publications.waset.org/abstracts/search?q=Ninet%20M.%20A.%20El-Rahman"> Ninet M. A. El-Rahman</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20T.%20Dorra"> Hassan T. Dorra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the optimum design for renewable energy system powered an aquaculture pond was determined. Hybrid Optimization Model for Electric Renewable (HOMER) software program, which is developed by U.S National Renewable Energy Laboratory (NREL), is used for analyzing the feasibility of the stand-alone and hybrid system in this study. HOMER program determines whether renewable energy resources satisfy hourly electric demand or not. The program calculates energy balance for every 8760 hours in a year to simulate operation of the system. This optimization compares the demand for the electrical energy for each hour of the year with the energy supplied by the system for that hour and calculates the relevant energy flow for each component in the model. The essential principle is to minimize the total system cost while HOMER ensures control of the system. Moreover the feasibility analysis of the energy system is also studied. Wind speed, solar irradiance, interest rate and capacity shortage are the parameters which are taken into consideration. The simulation results indicate that the hybrid system is the best choice in this study, yielding lower net present cost. Thus, it provides higher system performance than PV or wind stand-alone systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20stand-alone%20system" title="wind stand-alone system">wind stand-alone system</a>, <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20stand-alone%20system" title=" photovoltaic stand-alone system"> photovoltaic stand-alone system</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20system" title=" hybrid system"> hybrid system</a>, <a href="https://publications.waset.org/abstracts/search?q=optimum%20system%20sizing" title=" optimum system sizing"> optimum system sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=feasibility" title=" feasibility"> feasibility</a>, <a href="https://publications.waset.org/abstracts/search?q=cost%20analysis" title=" cost analysis"> cost analysis</a> </p> <a href="https://publications.waset.org/abstracts/3912/optimization-and-feasibility-analysis-of-a-pvwind-battery-hybrid-energy-conversion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3912.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">340</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29732</span> A Review on Modeling and Optimization of Integration of Renewable Energy Resources (RER) for Minimum Energy Cost, Minimum CO₂ Emissions and Sustainable Development, in Recent Years</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20M.%20Wagh">M. M. Wagh</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20V.%20Kulkarni"> V. V. Kulkarni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rising economic activities, growing population and improving living standards of world have led to a steady growth in its appetite for quality and quantity of energy services. As the economy expands the electricity demand is going to grow further, increasing the challenges of the more generation and stresses on the utility grids. Appropriate energy model will help in proper utilization of the locally available renewable energy sources such as solar, wind, biomass, small hydro etc. to integrate in the available grid, reducing the investments in energy infrastructure. Further to these new technologies like smart grids, decentralized energy planning, energy management practices, energy efficiency are emerging. In this paper, the attempt has been made to study and review the recent energy planning models, energy forecasting models, and renewable energy integration models. In addition, various modeling techniques and tools are reviewed and discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20modeling" title="energy modeling">energy modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=integration%20of%20renewable%20energy" title=" integration of renewable energy"> integration of renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20modeling%20tools" title=" energy modeling tools"> energy modeling tools</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20modeling%20techniques" title=" energy modeling techniques"> energy modeling techniques</a> </p> <a href="https://publications.waset.org/abstracts/46884/a-review-on-modeling-and-optimization-of-integration-of-renewable-energy-resources-rer-for-minimum-energy-cost-minimum-co2-emissions-and-sustainable-development-in-recent-years" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46884.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">345</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29731</span> Zero Energy Buildings in Hot-Humid Tropical Climates: Boundaries of the Energy Optimization Grey Zone</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nakul%20V.%20Naphade">Nakul V. Naphade</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandra%20G.%20L.%20Persiani"> Sandra G. L. Persiani</a>, <a href="https://publications.waset.org/abstracts/search?q=Yew%20Wah%20Wong"> Yew Wah Wong</a>, <a href="https://publications.waset.org/abstracts/search?q=Pramod%20S.%20Kamath"> Pramod S. Kamath</a>, <a href="https://publications.waset.org/abstracts/search?q=Avinash%20H.%20Anantharam"> Avinash H. Anantharam</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui%20Ling%20Aw"> Hui Ling Aw</a>, <a href="https://publications.waset.org/abstracts/search?q=Yann%20Grynberg"> Yann Grynberg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Achieving zero-energy targets in existing buildings is known to be a difficult task requiring important cuts in the building energy consumption, which in many cases clash with the functional necessities of the building wherever the on-site energy generation is unable to match the overall energy consumption. Between the building’s consumption optimization limit and the energy, target stretches a case-specific optimization grey zone, which requires tailored intervention and enhanced user’s commitment. In the view of the future adoption of more stringent energy-efficiency targets in the context of hot-humid tropical climates, this study aims to define the energy optimization grey zone by assessing the energy-efficiency limit in the state-of-the-art typical mid- and high-rise full AC office buildings, through the integration of currently available technologies. Energy models of two code-compliant generic office-building typologies were developed as a baseline, a 20-storey ‘high-rise’ and a 7-storey ‘mid-rise’. Design iterations carried out on the energy models with advanced market ready technologies in lighting, envelope, plug load management and ACMV systems and controls, lead to a representative energy model of the current maximum technical potential. The simulations showed that ZEB targets could be achieved in fully AC buildings under an average of seven floors only by compromising on energy-intense facilities (as full AC, unlimited power-supply, standard user behaviour, etc.). This paper argues that drastic changes must be made in tropical buildings to span the energy optimization grey zone and achieve zero energy. Fully air-conditioned areas must be rethought, while smart technologies must be integrated with an aggressive involvement and motivation of the users to synchronize with the new system’s energy savings goal. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20simulation" title="energy simulation">energy simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=office%20building" title=" office building"> office building</a>, <a href="https://publications.waset.org/abstracts/search?q=tropical%20climate" title=" tropical climate"> tropical climate</a>, <a href="https://publications.waset.org/abstracts/search?q=zero%20energy%20buildings" title=" zero energy buildings"> zero energy buildings</a> </p> <a href="https://publications.waset.org/abstracts/84479/zero-energy-buildings-in-hot-humid-tropical-climates-boundaries-of-the-energy-optimization-grey-zone" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84479.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">184</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29730</span> Overview of Different Approaches Used in Optimal Operation Control of Hybrid Renewable Energy Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Kusakana">K. Kusakana </a> </p> <p class="card-text"><strong>Abstract:</strong></p> A hybrid energy system is a combination of renewable energy sources with back up, as well as a storage system used to respond to given load energy requirements. Given that the electrical output of each renewable source is fluctuating with changes in weather conditions, and since the load demand also varies with time; one of the main attributes of hybrid systems is to be able to respond to the load demand at any time by optimally controlling each energy source, storage and back-up system. The induced optimization problem is to compute the optimal operation control of the system with the aim of minimizing operation costs while efficiently and reliably responding to the load energy requirement. Current optimization research and development on hybrid systems are mainly focusing on the sizing aspect. Thus, the aim of this paper is to report on the state-of-the-art of optimal operation control of hybrid renewable energy systems. This paper also discusses different challenges encountered, as well as future developments that can help in improving the optimal operation control of hybrid renewable energy systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=renewable%20energies" title="renewable energies">renewable energies</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20systems" title=" hybrid systems"> hybrid systems</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=operation%20control" title=" operation control"> operation control</a> </p> <a href="https://publications.waset.org/abstracts/48787/overview-of-different-approaches-used-in-optimal-operation-control-of-hybrid-renewable-energy-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48787.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">379</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29729</span> Non-Stationary Stochastic Optimization of an Oscillating Water Column</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mar%C3%ADa%20L.%20Jal%C3%B3n">María L. Jalón</a>, <a href="https://publications.waset.org/abstracts/search?q=Feargal%20Brennan"> Feargal Brennan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A non-stationary stochastic optimization methodology is applied to an OWC (oscillating water column) to find the design that maximizes the wave energy extraction. Different temporal cycles are considered to represent the long-term variability of the wave climate at the site in the optimization problem. The results of the non-stationary stochastic optimization problem are compared against those obtained by a stationary stochastic optimization problem. The comparative analysis reveals that the proposed non-stationary optimization provides designs with a better fit to reality. However, the stationarity assumption can be adequate when looking at averaged system response. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=non-stationary%20stochastic%20optimization" title="non-stationary stochastic optimization">non-stationary stochastic optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=oscillating%20water" title=" oscillating water"> oscillating water</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20variability" title=" temporal variability"> temporal variability</a>, <a href="https://publications.waset.org/abstracts/search?q=wave%20energy" title=" wave energy"> wave energy</a> </p> <a href="https://publications.waset.org/abstracts/75300/non-stationary-stochastic-optimization-of-an-oscillating-water-column" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75300.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">373</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29728</span> A Teaching Learning Based Optimization for Optimal Design of a Hybrid Energy System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Rouhani">Ahmad Rouhani</a>, <a href="https://publications.waset.org/abstracts/search?q=Masood%20Jabbari"> Masood Jabbari</a>, <a href="https://publications.waset.org/abstracts/search?q=Sima%20Honarmand"> Sima Honarmand</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a method to optimal design of a hybrid Wind/Photovoltaic/Fuel cell generation system for a typical domestic load that is not located near the electricity grid. In this configuration the combination of a battery, an electrolyser, and a hydrogen storage tank are used as the energy storage system. The aim of this design is minimization of overall cost of generation scheme over 20 years of operation. The Matlab/Simulink is applied for choosing the appropriate structure and the optimization of system sizing. A teaching learning based optimization is used to optimize the cost function. An overall power management strategy is designed for the proposed system to manage power flows among the different energy sources and the storage unit in the system. The results have been analyzed in terms of technics and economics. The simulation results indicate that the proposed hybrid system would be a feasible solution for stand-alone applications at remote locations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hybrid%20energy%20system" title="hybrid energy system">hybrid energy system</a>, <a href="https://publications.waset.org/abstracts/search?q=optimum%20sizing" title=" optimum sizing"> optimum sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20management" title=" power management"> power management</a>, <a href="https://publications.waset.org/abstracts/search?q=TLBO" title=" TLBO"> TLBO</a> </p> <a href="https://publications.waset.org/abstracts/35285/a-teaching-learning-based-optimization-for-optimal-design-of-a-hybrid-energy-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35285.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">578</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29727</span> Genetic Algorithm Optimization of the Economical, Ecological and Self-Consumption Impact of the Energy Production of a Single Building</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ludovic%20Favre">Ludovic Favre</a>, <a href="https://publications.waset.org/abstracts/search?q=Thibaut%20M.%20Schafer"> Thibaut M. Schafer</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Luc%20Robyr"> Jean-Luc Robyr</a>, <a href="https://publications.waset.org/abstracts/search?q=Elena-Lavinia%20Niederh%C3%A4user"> Elena-Lavinia Niederhäuser</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an optimization method based on genetic algorithm for the energy management inside buildings developed in the frame of the project Smart Living Lab (SLL) in Fribourg (Switzerland). This algorithm optimizes the interaction between renewable energy production, storage systems and energy consumers. In comparison with standard algorithms, the innovative aspect of this project is the extension of the smart regulation over three simultaneous criteria: the energy self-consumption, the decrease of greenhouse gas emissions and operating costs. The genetic algorithm approach was chosen due to the large quantity of optimization variables and the non-linearity of the optimization function. The optimization process includes also real time data of the building as well as weather forecast and users habits. This information is used by a physical model of the building energy resources to predict the future energy production and needs, to select the best energetic strategy, to combine production or storage of energy in order to guarantee the demand of electrical and thermal energy. The principle of operation of the algorithm as well as typical output example of the algorithm is presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%27s%20energy" title="building's energy">building's energy</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20system" title=" control system"> control system</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20management" title=" energy management"> energy management</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20storage" title=" energy storage"> energy storage</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20optimization%20algorithm" title=" genetic optimization algorithm"> genetic optimization algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=greenhouse%20gases" title=" greenhouse gases"> greenhouse gases</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a> </p> <a href="https://publications.waset.org/abstracts/85518/genetic-algorithm-optimization-of-the-economical-ecological-and-self-consumption-impact-of-the-energy-production-of-a-single-building" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">257</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29726</span> Optimization and Simulation Models Applied in Engineering Planning and Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abiodun%20Ladanu%20Ajala">Abiodun Ladanu Ajala</a>, <a href="https://publications.waset.org/abstracts/search?q=Wuyi%20Oke"> Wuyi Oke</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mathematical simulation and optimization models packaged within interactive computer programs provide a common way for planners and managers to predict the behaviour of any proposed water resources system design or management policy before it is implemented. Modeling presents a principal technique of predicting the behaviour of the proposed infrastructural designs or management policies. Models can be developed and used to help identify specific alternative plans that best meet those objectives. This study discusses various types of models, their development, architecture, data requirements, and applications in the field of engineering. It also outlines the advantages and limitations of each the optimization and simulation models presented. The techniques explored in this review include; dynamic programming, linear programming, fuzzy optimization, evolutionary algorithms and finally artificial intelligence techniques. Previous studies carried out using some of the techniques mentioned above were reviewed, and most of the results from different researches showed that indeed optimization and simulation provides viable alternatives and predictions which form a basis for decision making in building engineering structures and also in engineering planning and management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=linear%20programming" title="linear programming">linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=mutation" title=" mutation"> mutation</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a> </p> <a href="https://publications.waset.org/abstracts/67525/optimization-and-simulation-models-applied-in-engineering-planning-and-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67525.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">590</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29725</span> Design of a Solar Water Heating System with Thermal Storage for a Three-Bedroom House in Newfoundland </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Aisa">Ahmed Aisa</a>, <a href="https://publications.waset.org/abstracts/search?q=Tariq%20Iqbal"> Tariq Iqbal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This letter talks about the ready-to-use design of a solar water heating system because, in Canada, the average consumption of hot water per person is approximately 50 to 75 L per day and the average Canadian household uses 225 L. Therefore, this paper will demonstrate the method of designing a solar water heating system with thermal storage. It highlights the renewable hybrid power system, allowing you to obtain a reliable, independent system with the optimization of the ingredient size and at an improved capital cost. The system can provide hot water for a big building. The main power for the system comes from solar panels. Solar Advisory Model (SAM) and HOMER are used. HOMER and SAM are design models that calculate the consumption of hot water and cost for a house. Some results, obtained through simulation, were for monthly energy production, annual energy production, after tax cash flow, the lifetime of the system and monthly energy usage represented by three types of energy. These are system energy, electricity load electricity and net metering credit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=water%20heating" title="water heating">water heating</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20storage" title=" thermal storage"> thermal storage</a>, <a href="https://publications.waset.org/abstracts/search?q=capital%20cost%20solar" title=" capital cost solar"> capital cost solar</a>, <a href="https://publications.waset.org/abstracts/search?q=consumption" title=" consumption"> consumption</a> </p> <a href="https://publications.waset.org/abstracts/50580/design-of-a-solar-water-heating-system-with-thermal-storage-for-a-three-bedroom-house-in-newfoundland" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50580.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">430</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29724</span> Analysis of Energy Planning and Optimization with Microgrid System in Dawei Region</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hninn%20Thiri%20Naing">Hninn Thiri Naing</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Myanmar, there are many regions that are far away from the national grid. For these areas, isolated regional micro-grids are one of the solutions. The study area in this paper is also operating in such way. The main difficulty in such regions is the high cost of electrical energy. This paper will be approached to cost-effective or cost-optimization by energy planning with renewable energy resources and natural gas. Micro-grid will be set up for performance in the Dawei region since it is economic zone in lower Myanmar and so far from national grids. The required metrological and geographical data collections are done. Currently, the status is electric unit rate is higher than the other. For microgrid planning and optimization, Homer Pro-software is employed in this research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20planning" title="energy planning">energy planning</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=homer%20pro" title=" homer pro"> homer pro</a>, <a href="https://publications.waset.org/abstracts/search?q=cost%20of%20energy" title=" cost of energy"> cost of energy</a> </p> <a href="https://publications.waset.org/abstracts/150352/analysis-of-energy-planning-and-optimization-with-microgrid-system-in-dawei-region" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150352.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">129</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29723</span> Scenario Analysis to Assess the Competitiveness of Hydrogen in Securing the Italian Energy System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gianvito%20Colucci">Gianvito Colucci</a>, <a href="https://publications.waset.org/abstracts/search?q=Valeria%20Di%20Cosmo"> Valeria Di Cosmo</a>, <a href="https://publications.waset.org/abstracts/search?q=Matteo%20Nicoli"> Matteo Nicoli</a>, <a href="https://publications.waset.org/abstracts/search?q=Orsola%20Maria%20Robasto"> Orsola Maria Robasto</a>, <a href="https://publications.waset.org/abstracts/search?q=Laura%20Savoldi"> Laura Savoldi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The hydrogen value chain deployment is likely to be boosted in the near term by the energy security measures planned by European countries to face the recent energy crisis. In this context, some countries are recognized to have a crucial role in the geopolitics of hydrogen as importers, consumers and exporters. According to the European Hydrogen Backbone Initiative, Italy would be part of one of the 5 corridors that will shape the European hydrogen market. However, the set targets are very ambitious and require large investments to rapidly develop effective hydrogen policies: in this regard, scenario analysis is becoming increasingly important to support energy planning, and energy system optimization models appear to be suitable tools to quantitively carry on that kind of analysis. The work aims to assess the competitiveness of hydrogen in contributing to the Italian energy security in the coming years, under different price and import conditions, using the energy system model TEMOA-Italy. A wide spectrum of hydrogen technologies is included in the analysis, covering the production, storage, delivery, and end-uses stages. National production from fossil fuels with and without CCS, as well as electrolysis and import of low-carbon hydrogen from North Africa, are the supply solutions that would compete with other ones, such as natural gas, biomethane and electricity value chains, to satisfy sectoral energy needs (transport, industry, buildings, agriculture). Scenario analysis is then used to study the competition under different price and import conditions. The use of TEMOA-Italy allows the work to catch the interaction between the economy and technological detail, which is much needed in the energy policies assessment, while the transparency of the analysis and of the results is ensured by the full accessibility of the TEMOA open-source modeling framework. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20security" title="energy security">energy security</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20system%20optimization%20models" title=" energy system optimization models"> energy system optimization models</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrogen" title=" hydrogen"> hydrogen</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20gas" title=" natural gas"> natural gas</a>, <a href="https://publications.waset.org/abstracts/search?q=open-source%20modeling" title=" open-source modeling"> open-source modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=scenario%20analysis" title=" scenario analysis"> scenario analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=TEMOA" title=" TEMOA"> TEMOA</a> </p> <a href="https://publications.waset.org/abstracts/153417/scenario-analysis-to-assess-the-competitiveness-of-hydrogen-in-securing-the-italian-energy-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153417.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29722</span> An Adaptive Hybrid Surrogate-Assisted Particle Swarm Optimization Algorithm for Expensive Structural Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiongxiong%20You">Xiongxiong You</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhanwen%20Niu"> Zhanwen Niu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Choosing an appropriate surrogate model plays an important role in surrogates-assisted evolutionary algorithms (SAEAs) since there are many types and different kernel functions in the surrogate model. In this paper, an adaptive selection of the best suitable surrogate model method is proposed to solve different kinds of expensive optimization problems. Firstly, according to the prediction residual error sum of square (PRESS) and different model selection strategies, the excellent individual surrogate models are integrated into multiple ensemble models in each generation. Then, based on the minimum root of mean square error (RMSE), the best suitable surrogate model is selected dynamically. Secondly, two methods with dynamic number of models and selection strategies are designed, which are used to show the influence of the number of individual models and selection strategy. Finally, some compared studies are made to deal with several commonly used benchmark problems, as well as a rotor system optimization problem. The results demonstrate the accuracy and robustness of the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20selection" title="adaptive selection">adaptive selection</a>, <a href="https://publications.waset.org/abstracts/search?q=expensive%20optimization" title=" expensive optimization"> expensive optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=rotor%20system" title=" rotor system"> rotor system</a>, <a href="https://publications.waset.org/abstracts/search?q=surrogates%20assisted%20evolutionary%20algorithms" title=" surrogates assisted evolutionary algorithms"> surrogates assisted evolutionary algorithms</a> </p> <a href="https://publications.waset.org/abstracts/137516/an-adaptive-hybrid-surrogate-assisted-particle-swarm-optimization-algorithm-for-expensive-structural-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137516.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">141</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29721</span> Prediction-Based Midterm Operation Planning for Energy Management of Exhibition Hall</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Doseong%20Eom">Doseong Eom</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeongmin%20Kim"> Jeongmin Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwang%20Ryel%20Ryu"> Kwang Ryel Ryu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Large exhibition halls require a lot of energy to maintain comfortable atmosphere for the visitors viewing inside. One way of reducing the energy cost is to have thermal energy storage systems installed so that the thermal energy can be stored in the middle of night when the energy price is low and then used later when the price is high. To minimize the overall energy cost, however, we should be able to decide how much energy to save during which time period exactly. If we can foresee future energy load and the corresponding cost, we will be able to make such decisions reasonably. In this paper, we use machine learning technique to obtain models for predicting weather conditions and the number of visitors on hourly basis for the next day. Based on the energy load thus predicted, we build a cost-optimal daily operation plan for the thermal energy storage systems and cooling and heating facilities through simulation-based optimization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20energy%20management" title="building energy management">building energy management</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=operation%20planning" title=" operation planning"> operation planning</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation-based%20optimization" title=" simulation-based optimization"> simulation-based optimization</a> </p> <a href="https://publications.waset.org/abstracts/59410/prediction-based-midterm-operation-planning-for-energy-management-of-exhibition-hall" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59410.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29720</span> System-Wide Impact of Energy Efficiency in the Industry Sector: A Comparative Study between Canada and Denmark</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Baldini">M. Baldini</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20K.%20Jacobsen"> H. K. Jacobsen</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Jaccard"> M. Jaccard</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In light of the international efforts to comply with the Paris agreement and emission targets for future energy systems, Denmark and Canada are among the front-runner countries dealing with climate change. The experiences in the energy sector have seen both countries coping with trade-offs between investments in renewable energy technologies and energy efficiency, thus tackling the climate issue from the supply and demand side respectively. On the demand side, the industrial sector is going through a remarkable transformation, with implementation of energy efficiency measures, change of input fuel for end-use processes and forecasted electrification as main features under the spotlight. By looking at Canada and Denmark's experiences as pathfinders on the demand and supply approach to climate change, it is possible to obtain valuable experience that may be applied to other countries aiming at the same goal. This paper presents a comparative study on industrial energy efficiency between Canada and Denmark. The study focuses on technologies and system options, policy design and implementation and modelling methodologies when implementing industrial energy savings in optimization models in comparison to simulation models. The study identifies gaps and junctures in the approach towards climate change actions and, learning from each other, lessen the differences to further foster the adoption of energy efficiency measurements in the industrial sector, aiming at reducing energy consumption and, consequently, CO₂ emissions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=industrial%20energy%20efficiency" title="industrial energy efficiency">industrial energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=comparative%20study" title=" comparative study"> comparative study</a>, <a href="https://publications.waset.org/abstracts/search?q=CO%E2%82%82%20reduction" title=" CO₂ reduction"> CO₂ reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20system%20modelling" title=" energy system modelling"> energy system modelling</a> </p> <a href="https://publications.waset.org/abstracts/85124/system-wide-impact-of-energy-efficiency-in-the-industry-sector-a-comparative-study-between-canada-and-denmark" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85124.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29719</span> Optimization and Energy Management of Hybrid Standalone Energy System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20M.%20Tawfik">T. M. Tawfik</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Badr"> M. A. Badr</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Y.%20El-Kady"> E. Y. El-Kady</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20E.%20Abdellatif"> O. E. Abdellatif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electric power shortage is a serious problem in remote rural communities in Egypt. Over the past few years, electrification of remote communities including efficient on-site energy resources utilization has achieved high progress. Remote communities usually fed from diesel generator (DG) networks because they need reliable energy and cheap fresh water. The main objective of this paper is to design an optimal economic power supply from hybrid standalone energy system (HSES) as alternative energy source. It covers energy requirements for reverse osmosis desalination unit (DU) located in National Research Centre farm in Noubarya, Egypt. The proposed system consists of PV panels, Wind Turbines (WT), Batteries, and DG as a backup for supplying DU load of 105.6 KWh/day rated power with 6.6 kW peak load operating 16 hours a day. Optimization of HSES objective is selecting the suitable size of each of the system components and control strategy that provide reliable, efficient, and cost-effective system using net present cost (NPC) as a criterion. The harmonization of different energy sources, energy storage, and load requirements are a difficult and challenging task. Thus, the performance of various available configurations is investigated economically and technically using iHOGA software that is based on genetic algorithm (GA). The achieved optimum configuration is further modified through optimizing the energy extracted from renewable sources. Effective minimization of energy charging the battery ensures that most of the generated energy directly supplies the demand, increasing the utilization of the generated energy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20management" title="energy management">energy management</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20system" title=" hybrid system"> hybrid system</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20area" title=" remote area"> remote area</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/74765/optimization-and-energy-management-of-hybrid-standalone-energy-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74765.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">199</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29718</span> Application of Grasshopper Optimization Algorithm for Design and Development of Net Zero Energy Residential Building in Ahmedabad, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Debasis%20Sarkar">Debasis Sarkar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to apply the Grasshopper-Optimization-Algorithm (GOA) for designing and developing a Net-Zero-Energy residential building for a mega-city like Ahmedabad in India. The methodology implemented includes advanced tools like Revit for model creation and MATLAB for simulation, enabling the optimization of the building design. GOA has been applied in reducing cooling loads and overall energy consumption through optimized passive design features. For the attainment of a net zero energy mission, solar panels were installed on the roof of the building. It has been observed that the energy consumption of 8490 kWh was supported by the installed solar panels. Thereby only 840kWh had to be supported by non-renewable energy sources. The energy consumption was further reduced through the application of simulation and optimization methods like GOA, which further reduced the energy consumption to about 37.56 kWh per month from April to July when energy demand was at its peak. This endeavor aimed to achieve near-zero-energy consumption, showcasing the potential of renewable energy integration in building sustainability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=grasshopper%20optimization%20algorithm" title="grasshopper optimization algorithm">grasshopper optimization algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=net%20zero%20energy" title=" net zero energy"> net zero energy</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20building" title=" residential building"> residential building</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20design" title=" sustainable design"> sustainable design</a> </p> <a href="https://publications.waset.org/abstracts/188220/application-of-grasshopper-optimization-algorithm-for-design-and-development-of-net-zero-energy-residential-building-in-ahmedabad-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188220.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">39</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29717</span> Learning Predictive Models for Efficient Energy Management of Exhibition Hall</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeongmin%20Kim">Jeongmin Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Eunju%20Lee"> Eunju Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Kwang%20Ryel%20Ryu"> Kwang Ryel Ryu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper addresses the problem of predictive control for energy management of large-scaled exhibition halls, where a lot of energy is consumed to maintain internal atmosphere under certain required conditions. Predictive control achieves better energy efficiency by optimizing the operation of air-conditioning facilities with not only the current but also some future status taken into account. In this paper, we propose to use predictive models learned from past sensor data of hall environment, for use in optimizing the operating plan for the air-conditioning facilities by simulating future environmental change. We have implemented an emulator of an exhibition hall by using EnergyPlus, a widely used building energy emulation tool, to collect data for learning environment-change models. Experimental results show that the learned models predict future change highly accurately on a short-term basis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=predictive%20control" title="predictive control">predictive control</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20management" title=" energy management"> energy management</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/59405/learning-predictive-models-for-efficient-energy-management-of-exhibition-hall" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59405.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">274</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29716</span> Comparative Analysis of Simulation-Based and Mixed-Integer Linear Programming Approaches for Optimizing Building Modernization Pathways Towards Decarbonization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nico%20Fuchs">Nico Fuchs</a>, <a href="https://publications.waset.org/abstracts/search?q=Fabian%20W%C3%BCllhorst"> Fabian Wüllhorst</a>, <a href="https://publications.waset.org/abstracts/search?q=Laura%20Maier"> Laura Maier</a>, <a href="https://publications.waset.org/abstracts/search?q=Dirk%20M%C3%BCller"> Dirk Müller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The decarbonization of building stocks necessitates the modernization of existing buildings. Key measures for this include reducing energy demands through insulation of the building envelope, replacing heat generators, and installing solar systems. Given limited financial resources, it is impractical to modernize all buildings in a portfolio simultaneously; instead, prioritization of buildings and modernization measures for a given planning horizon is essential. Optimization models for modernization pathways can assist portfolio managers in this prioritization. However, modeling and solving these large-scale optimization problems, often represented as mixed-integer problems (MIP), necessitates simplifying the operation of building energy systems particularly with respect to system dynamics and transient behavior. This raises the question of which level of simplification remains sufficient to accurately account for realistic costs and emissions of building energy systems, ensuring a fair comparison of different modernization measures. This study addresses this issue by comparing a two-stage simulation-based optimization approach with a single-stage mathematical optimization in a mixed-integer linear programming (MILP) formulation. The simulation-based approach serves as a benchmark for realistic energy system operation but requires a restriction of the solution space to discrete choices of modernization measures, such as the sizing of heating systems. After calculating the operation of different energy systems in terms of the resulting final energy demands in simulation models on a first stage, the results serve as input for a second stage MILP optimization, where the design of each building in the portfolio is optimized. In contrast to the simulation-based approach, the MILP-based approach can capture a broader variety of modernization measures due to the efficiency of MILP solvers but necessitates simplifying the building energy system operation. Both approaches are employed to determine the cost-optimal design and dimensioning of several buildings in a portfolio to meet climate targets within limited yearly budgets, resulting in a modernization pathway for the entire portfolio. The comparison reveals that the MILP formulation successfully captures design decisions of building energy systems, such as the selection of heating systems and the modernization of building envelopes. However, the results regarding the optimal dimensioning of heating technologies differ from the results of the two-stage simulation-based approach, as the MILP model tends to overestimate operational efficiency, highlighting the limitations of the MILP approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20energy%20system%20optimization" title="building energy system optimization">building energy system optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20accuracy%20in%20optimization" title=" model accuracy in optimization"> model accuracy in optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=modernization%20pathways" title=" modernization pathways"> modernization pathways</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20stock%20decarbonization" title=" building stock decarbonization"> building stock decarbonization</a> </p> <a href="https://publications.waset.org/abstracts/188424/comparative-analysis-of-simulation-based-and-mixed-integer-linear-programming-approaches-for-optimizing-building-modernization-pathways-towards-decarbonization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188424.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">34</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29715</span> The Role of Uncertainty in the Integration of Environmental Parameters in Energy System Modeling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alexander%20de%20Tom%C3%A1s">Alexander de Tomás</a>, <a href="https://publications.waset.org/abstracts/search?q=Miquel%20Sierra"> Miquel Sierra</a>, <a href="https://publications.waset.org/abstracts/search?q=Stefan%20Pfenninger"> Stefan Pfenninger</a>, <a href="https://publications.waset.org/abstracts/search?q=Francesco%20Lombardi"> Francesco Lombardi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ines%20Campos"> Ines Campos</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristina%20Madrid"> Cristina Madrid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Environmental parameters are key in the definition of sustainable energy systems yet excluded from most energy system optimization models. Still, decision-making may be misleading without considering them. Environmental analyses of the energy transition are a key part of industrial ecology but often are performed without any input from the users of the information. This work assesses the systemic impacts of energy transition pathways in Portugal. Using the Calliope energy modeling framework, 250+ optimized energy system pathways are generated. A Delphi study helps to identify the relevant criteria for the stakeholders as regards the environmental assessment, which is performed with ENBIOS, a python package that integrates life cycle assessment (LCA) with a metabolic analysis based on complex relations. Furthermore, this study focuses on how the uncertainty propagates through the model’s consortium. With the aim of doing so, a soft link between the Calliope/ENBIOS cascade and Brightway’s data capabilities is built to perform Monte Carlo simulations. These findings highlight the relevance of including uncertainty analysis as a range of values rather than informing energy transition results with a single value. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20transition" title="energy transition">energy transition</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20modeling" title=" energy modeling"> energy modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertainty" title=" uncertainty"> uncertainty</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/163509/the-role-of-uncertainty-in-the-integration-of-environmental-parameters-in-energy-system-modeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163509.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">83</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29714</span> Automatic and High Precise Modeling for System Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Stephanie%20Chen">Stephanie Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Mitja%20Echim"> Mitja Echim</a>, <a href="https://publications.waset.org/abstracts/search?q=Christof%20B%C3%BCskens"> Christof Büskens</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To describe and propagate the behavior of a system mathematical models are formulated. Parameter identification is used to adapt the coefficients of the underlying laws of science. For complex systems this approach can be incomplete and hence imprecise and moreover too slow to be computed efficiently. Therefore, these models might be not applicable for the numerical optimization of real systems, since these techniques require numerous evaluations of the models. Moreover not all quantities necessary for the identification might be available and hence the system must be adapted manually. Therefore, an approach is described that generates models that overcome the before mentioned limitations by not focusing on physical laws, but on measured (sensor) data of real systems. The approach is more general since it generates models for every system detached from the scientific background. Additionally, this approach can be used in a more general sense, since it is able to automatically identify correlations in the data. The method can be classified as a multivariate data regression analysis. In contrast to many other data regression methods this variant is also able to identify correlations of products of variables and not only of single variables. This enables a far more precise and better representation of causal correlations. The basis and the explanation of this method come from an analytical background: the series expansion. Another advantage of this technique is the possibility of real-time adaptation of the generated models during operation. Herewith system changes due to aging, wear or perturbations from the environment can be taken into account, which is indispensable for realistic scenarios. Since these data driven models can be evaluated very efficiently and with high precision, they can be used in mathematical optimization algorithms that minimize a cost function, e.g. time, energy consumption, operational costs or a mixture of them, subject to additional constraints. The proposed method has successfully been tested in several complex applications and with strong industrial requirements. The generated models were able to simulate the given systems with an error in precision less than one percent. Moreover the automatic identification of the correlations was able to discover so far unknown relationships. To summarize the above mentioned approach is able to efficiently compute high precise and real-time-adaptive data-based models in different fields of industry. Combined with an effective mathematical optimization algorithm like WORHP (We Optimize Really Huge Problems) several complex systems can now be represented by a high precision model to be optimized within the user wishes. The proposed methods will be illustrated with different examples. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20modeling" title="adaptive modeling">adaptive modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20identification%20of%20correlations" title=" automatic identification of correlations"> automatic identification of correlations</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20based%20modeling" title=" data based modeling"> data based modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/35698/automatic-and-high-precise-modeling-for-system-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35698.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">409</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29713</span> A New Optimization Algorithm for Operation of a Microgrid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sirus%20Mohammadi">Sirus Mohammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rohala%20Moghimi"> Rohala Moghimi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main advantages of microgrids are high energy efficiency through the application of Combined Heat and Power (CHP), high quality and reliability of the delivered electric energy and environmental and economic advantages. This study presents an energy management system (EMS) to optimize the operation of the microgrid (MG). In this paper an Adaptive Modified Firefly Algorithm (AMFA) is presented for optimal operation of a typical MG with renewable energy sources (RESs) accompanied by a back-up Micro-Turbine/Fuel Cell/Battery hybrid power source to level the power mismatch or to store the energy surplus when it’s needed. The problem is formulated as a nonlinear constraint problem to minimize the total operating cost. The management of Energy storage system (ESS), economic load dispatch and operation optimization of distributed generation (DG) are simplified into a single-object optimization problem in the EMS. The proposed algorithm is tested on a typical grid-connected MG including WT/PV/Micro Turbine/Fuel Cell and Energy Storage Devices (ESDs) then its superior performance is compared with those from other evolutionary algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Fuzzy Self Adaptive PSO (FSAPSO), Chaotic Particle PSO (CPSO), Adaptive Modified PSO (AMPSO), and Firefly Algorithm (FA). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microgrid" title="microgrid">microgrid</a>, <a href="https://publications.waset.org/abstracts/search?q=operation%20management" title=" operation management"> operation management</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=firefly%20algorithm%20%28AMFA%29" title=" firefly algorithm (AMFA)"> firefly algorithm (AMFA)</a> </p> <a href="https://publications.waset.org/abstracts/7163/a-new-optimization-algorithm-for-operation-of-a-microgrid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7163.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29712</span> Optimization of Hybrid off Grid Energy Station</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yehya%20Abdellatif">Yehya Abdellatif</a>, <a href="https://publications.waset.org/abstracts/search?q=Iyad%20M.%20Muslih"> Iyad M. Muslih</a>, <a href="https://publications.waset.org/abstracts/search?q=Azzah%20Alkhalailah"> Azzah Alkhalailah</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdallah%20Muslih"> Abdallah Muslih</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hybrid Optimization Model for Electric Renewable (HOMER) software was utilized to find the optimum design of a hybrid off-Grid system, by choosing the optimal solution depending on the cost analysis of energy based on different capacity shortage percentages. A complete study for the site conditions and load profile was done to optimize the design and implementation of a hybrid off-grid power station. In addition, the solution takes into consecration the ambient temperature effect on the efficiency of the power generation and the economical aspects of selection depending on real market price. From the analysis of the HOMER model results, the optimum hybrid power station was suggested, based on wind speed, and solar conditions. The optimization function objective is to minimize the Net Price Cost (NPC) and the Cost of Energy (COE) with zero and 10 percentage of capacity shortage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20modeling" title="energy modeling">energy modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=HOMER" title=" HOMER"> HOMER</a>, <a href="https://publications.waset.org/abstracts/search?q=off-grid%20system" title=" off-grid system"> off-grid system</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/32205/optimization-of-hybrid-off-grid-energy-station" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32205.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">563</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29711</span> Geometric Design to Improve the Temperature</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Ghodbane">H. Ghodbane</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Taleb"> A. A. Taleb</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20Kraa"> O. Kraa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents geometric design of induction heating system. The objective of this design is to improve the temperature distribution in the load. The study of such a device requires the use of models or modeling representation, physical, mathematical, and numerical. This modeling is the basis of the understanding, the design, and optimization of these systems. The optimization technique is to find values of variables that maximize or minimize the objective function. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimization" title="optimization">optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=geometric%20design%20system" title=" geometric design system"> geometric design system</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature%20increase" title=" temperature increase"> temperature increase</a> </p> <a href="https://publications.waset.org/abstracts/1847/geometric-design-to-improve-the-temperature" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1847.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">530</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29710</span> Identifying the Factors affecting on the Success of Energy Usage Saving in Municipality of Tehran </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rojin%20Bana%20Derakhshan">Rojin Bana Derakhshan</a>, <a href="https://publications.waset.org/abstracts/search?q=Abbas%20Toloie"> Abbas Toloie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For the purpose of optimizing and developing energy efficiency in building, it is required to recognize key elements of success in optimization of energy consumption before performing any actions. Surveying Principal Components is one of the most valuable result of Linear Algebra because the simple and non-parametric methods are become confusing. So that energy management system implemented according to energy management system international standard ISO50001:2011 and all energy parameters in building to be measured through performing energy auditing. In this essay by simulating used of data mining, the key impressive elements on energy saving in buildings to be determined. This approach is based on data mining statistical techniques using feature selection method and fuzzy logic and convert data from massive to compressed type and used to increase the selected feature. On the other side, influence portion and amount of each energy consumption elements in energy dissipation in percent are recognized as separated norm while using obtained results from energy auditing and after measurement of all energy consuming parameters and identified variables. Accordingly, energy saving solution divided into 3 categories, low, medium and high expense solutions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20saving" title="energy saving">energy saving</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20elements%20of%20success" title=" key elements of success"> key elements of success</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization%20of%20energy%20consumption" title=" optimization of energy consumption"> optimization of energy consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a> </p> <a href="https://publications.waset.org/abstracts/30590/identifying-the-factors-affecting-on-the-success-of-energy-usage-saving-in-municipality-of-tehran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30590.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">468</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29709</span> Comparison of Hydrogen and Electrification Perspectives in Decarbonizing the Transport Sector</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matteo%20Nicoli">Matteo Nicoli</a>, <a href="https://publications.waset.org/abstracts/search?q=Gianvito%20Colucci"> Gianvito Colucci</a>, <a href="https://publications.waset.org/abstracts/search?q=Valeria%20Di%20Cosmo"> Valeria Di Cosmo</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniele%20Lerede"> Daniele Lerede</a>, <a href="https://publications.waset.org/abstracts/search?q=Laura%20Savoldi"> Laura Savoldi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The transport sector is currently responsible for approximately 1/3 of greenhouse gas emissions in Europe. In the wider context of achieving carbon neutrality of the global energy system, different alternatives are available to decarbonizethe transport sector. In particular, while electricity is already the most consumed energy commodity in rail transport, battery electric vehicles are one of the zero-emissions options on the market for road transportation. On the other hand, hydrogen-based fuel cell vehicles are available for road and non-road vehicles. The European Commission is strongly pushing toward the integration of hydrogen in the energy systems of European countries and its widespread adoption as an energy vector to achieve the Green Deal targets. Furthermore, the Italian government is defining hydrogen-related objectives with the publication of a dedicated Hydrogen Strategy. The adoption of energy system optimization models to study the possible penetration of alternative zero-emitting transport technologies gives the opportunity to perform an overall analysis of the effects that the development of innovative technologies has on the entire energy system and on the supply-side, devoted to the production of energy carriers such as hydrogen and electricity. Using an open-source modeling framework such as TEMOA, this work aims to compare the role of hydrogen and electric vehicles in the decarbonization of the transport sector. The analysis investigates the advantages and disadvantages of adopting the two options, from the economic point of view (costs associated with the two options) and the environmental one (looking at the emissions reduction perspectives). Moreover, an analysis on the profitability of the investments in hydrogen and electric vehicles will be performed. The study investigates the evolution of energy consumption and greenhouse gas emissions in different transportation modes (road, rail, navigation, and aviation) by detailed analysis of the full range of vehicles included in the techno-economic database used in the TEMOA model instance adopted for this work. The transparency of the analysis is guaranteed by the accessibility of the TEMOA models, based on an open-access source code and databases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery%20electric%20vehicles" title="battery electric vehicles">battery electric vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=decarbonization" title=" decarbonization"> decarbonization</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20system%20optimization%20models" title=" energy system optimization models"> energy system optimization models</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20cell%20vehicles" title=" fuel cell vehicles"> fuel cell vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrogen" title=" hydrogen"> hydrogen</a>, <a href="https://publications.waset.org/abstracts/search?q=open-source%20modeling" title=" open-source modeling"> open-source modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=TEMOA" title=" TEMOA"> TEMOA</a>, <a href="https://publications.waset.org/abstracts/search?q=transport" title=" transport"> transport</a> </p> <a href="https://publications.waset.org/abstracts/153403/comparison-of-hydrogen-and-electrification-perspectives-in-decarbonizing-the-transport-sector" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153403.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29708</span> Design Optimisation of a Novel Cross Vane Expander-Compressor Unit for Refrigeration System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20D.%20Lim">Y. D. Lim</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20S.%20Yap"> K. S. Yap</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20T.%20Ooi"> K. T. Ooi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, environmental issue has been a hot topic in the world, especially the global warming effect caused by conventional non-environmentally friendly refrigerants has increased. Several studies of a more energy-efficient and environmentally friendly refrigeration system have been conducted in order to tackle the issue. In search of a better refrigeration system, CO2 refrigeration system has been proposed as a better option. However, the high throttling loss involved during the expansion process of the refrigeration cycle leads to a relatively low efficiency and thus the system is impractical. In order to improve the efficiency of the refrigeration system, it is suggested by replacing the conventional expansion valve in the refrigeration system with an expander. Based on this issue, a new type of expander-compressor combined unit, named Cross Vane Expander-Compressor (CVEC) was introduced to replace the compressor and the expansion valve of a conventional refrigeration system. A mathematical model was developed to calculate the performance of CVEC, and it was found that the machine is capable of saving the energy consumption of a refrigeration system by as much as 18%. Apart from energy saving, CVEC is also geometrically simpler and more compact. To further improve its efficiency, optimization study of the device is carried out. In this report, several design parameters of CVEC were chosen to be the variables of optimization study. This optimization study was done in a simulation program by using complex optimization method, which is a direct search, multi-variables and constrained optimization method. It was found that the main design parameters, which was shaft radius was reduced around 8% while the inner cylinder radius was remained unchanged at its lower limit after optimization. Furthermore, the port sizes were increased to their upper limit after optimization. The changes of these design parameters have resulted in reduction of around 12% in the total frictional loss and reduction of 4% in power consumption. Eventually, the optimization study has resulted in an improvement in the mechanical efficiency CVEC by 4% and improvement in COP by 6%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=complex%20optimization%20method" title="complex optimization method">complex optimization method</a>, <a href="https://publications.waset.org/abstracts/search?q=COP" title=" COP"> COP</a>, <a href="https://publications.waset.org/abstracts/search?q=cross%20vane%20expander-compressor" title=" cross vane expander-compressor"> cross vane expander-compressor</a>, <a href="https://publications.waset.org/abstracts/search?q=CVEC" title=" CVEC"> CVEC</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20optimization" title=" design optimization"> design optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20search" title=" direct search"> direct search</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20saving" title=" energy saving"> energy saving</a>, <a href="https://publications.waset.org/abstracts/search?q=improvement" title=" improvement"> improvement</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanical%20efficiency" title=" mechanical efficiency"> mechanical efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20variables" title=" multi variables"> multi variables</a> </p> <a href="https://publications.waset.org/abstracts/36956/design-optimisation-of-a-novel-cross-vane-expander-compressor-unit-for-refrigeration-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36956.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">373</span> </span> </div> </div> <ul class="pagination"> <li class="page-item 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