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Titlebook: Geospatial Optimization of Solar Energy; Cases from Around th Jay Doorga,Soonil Rughooputh,Ravindra Boojhawon Book 2022 The Author(s), unde

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書目名稱Geospatial Optimization of Solar Energy
副標(biāo)題Cases from Around th
編輯Jay Doorga,Soonil Rughooputh,Ravindra Boojhawon
視頻videohttp://file.papertrans.cn/385/384055/384055.mp4
概述Provides method for countries to optimize, manage and exploit their solar energy resources.Shows worldwide case studies for providing a step-wise guide for energy analysis.Written by authors who are e
叢書名稱SpringerBriefs in Energy
圖書封面Titlebook: Geospatial Optimization of Solar Energy; Cases from Around th Jay Doorga,Soonil Rughooputh,Ravindra Boojhawon Book 2022 The Author(s), unde
描述.This book provides a comprehensive guide on how geographic information systems (GIS) can be used to optimize solar energy resources. A collection of the latest cutting-edge research is presented which seeks to address the most pressing issues faced by policymakers regarding the planning and exploitation of solar energy. Scientifically robust models are developed to guide researchers on identifying optimum sites for the implementation of solar energy projects. Each methodology presented is accompanied by global case studies, ranging from the small islands of Hawaii and Mauritius to larger countries such as. .India and Spain. This book is primarily targeted to researchers aspiring to unveil and optimize the solar resource potential of their countries for the benefit of a wider audience, ranging from architects, agro-industrialists, climatologists, and energy experts..
出版日期Book 2022
關(guān)鍵詞Solar Energy Modelling; Multi-Criteria Decision Analysis; Statistical Regression Modelling; Energy Poli
版次1
doihttps://doi.org/10.1007/978-3-030-95213-6
isbn_softcover978-3-030-95212-9
isbn_ebook978-3-030-95213-6Series ISSN 2191-5520 Series E-ISSN 2191-5539
issn_series 2191-5520
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2022
The information of publication is updating

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https://doi.org/10.1007/978-3-319-05636-4 insolation?parameter in the Sun’s core, its journey to the Earth’s atmosphere, the interaction with the atmosphere, and its conversion into electricity?in photovoltaic?modules are discussed. The spatial?and temporal distributions of the insolation?parameter arising from seasonal/latitudinal variati
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Energetics of Organic Free Radicalse a knowledge of how the solar insolation?parameter varies on spatial?and temporal scales. In this chapter, we explore methodologies including satellite?remote sensing, Numerical Weather?Prediction (NWP) model, and regression?analysis that could enable countries to map the spatio-temporal variations
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https://doi.org/10.1007/978-3-663-02395-1from climatic suitability, technical appropriateness of the land and the legal conforming use of the chosen site. In this chapter, we propose a framework that would enable countries to efficiently harness solar energy?through the optimal location of solar farms?whilst accounting for social, technica
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