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Titlebook: Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms; Venkata Rao Ravipudi,Hameer Singh Keesari Book 202

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書目名稱Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms
編輯Venkata Rao Ravipudi,Hameer Singh Keesari
視頻videohttp://file.papertrans.cn/269/268408/268408.mp4
概述Provides a detailed understanding of different renewable energy systems.Explains fully the use of advanced optimization algorithms in renewable energy systems.Introduces basic and advanced versions of
叢書名稱Green Energy and Technology
圖書封面Titlebook: Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms; Venkata Rao Ravipudi,Hameer Singh Keesari Book 202
描述.This book describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources..In the last few decades, researchers have focused on renewable energy resources like solar energy, bio-energy, wave energy, ocean thermal energy, tidal energy, geothermal energy, and wind energy. This has resulted in the development of new techniques and tools that could harvest energy from renewable energy sources. Many researchers and scientists have focused on developing and optimizing the energy systems to extract and utilize renewable energy more efficiently..In this book, recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms are introduced for single- and multi-objective optimization of selected renewable energy systems. The results of applications of the different versions of Jaya and Rao algorithms are compared with the other optimization techniques like GA, NSGA-II, PSO, MOPSO, ABC, etc., and the performance of the Jaya and Rao algorithms is highlighted compared to other optimization algorithms in the case of renewable energy systems..The book also includes the validation of different versions of the Jaya and Rao algorithms through
出版日期Book 2022
關(guān)鍵詞Renewable Energy systems; Wind farm layout optimization; Solar assisted heat engine systems; Bio-energy
版次1
doihttps://doi.org/10.1007/978-3-030-95589-2
isbn_softcover978-3-030-95591-5
isbn_ebook978-3-030-95589-2Series ISSN 1865-3529 Series E-ISSN 1865-3537
issn_series 1865-3529
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Optimization of the Selected Solar-Assisted Energy Systems, chapter, five multi-objective optimization case studies of solar-assisted energy systems which includes a case study of solar-assisted Brayton heat engine system, three case studies of solar-assisted Stirling heat engine system, a case study of solar-assisted Carnot-like heat engine system, are con
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Optimization of the Selected Bio-Energy Systems,d microalgae-based biomass cultivation process. Three multiobjective optimization case studies of biodiesel engine design and a multiobjective optimization case study of microalgae cultivation process optimization are considered for optimization to see if there can be any improvement in the performa
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Optimization of Hydroenergy and Geothermal Energy Systems,tion case study of the Nigerian Jebba hydropower plant performance and a multi-objective optimization case study of a ground source heat pump-radiant ceiling air conditioning system are considered for optimization to see if there can be any improvement in the performances of the selected systems. Th
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Venkata Rao Ravipudi,Hameer Singh KeesariProvides a detailed understanding of different renewable energy systems.Explains fully the use of advanced optimization algorithms in renewable energy systems.Introduces basic and advanced versions of
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Green Energy and Technologyhttp://image.papertrans.cn/d/image/268408.jpg
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https://doi.org/10.1007/978-3-030-86967-0le energy system case studies include wind farm layout optimization for different wind scenarios, a case study of solar-assisted Brayton heat engine system, three case studies of solar-assisted Stirling heat engine system, a case study of solar-assisted Carnot-like heat engine system, three case stu
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Flexible Query Answering Systemsding Jaya algorithm, adaptive multi-team perturbation-guiding Jaya algorithm, elitist Rao algorithms and self-adaptive population Rao algorithm. Also, it presents the implementation of these algorithms to multi-objective optimization problems. In addition, multi-objective optimization performance in
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