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Titlebook: Renewable Energy in the Service of Mankind Vol II; Selected Topics from Ali Sayigh Book 2016 Springer International Publishing Switzerland

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发表于 2025-3-21 19:36:49 | 显示全部楼层 |阅读模式
书目名称Renewable Energy in the Service of Mankind Vol II
副标题Selected Topics from
编辑Ali Sayigh
视频video
概述Details the research advances being made in pivotal renewable energy technologies from waste-to-energy and offshore wind, to energy forecasting and bio-hydrogen.Includes case studies and detailed exam
图书封面Titlebook: Renewable Energy in the Service of Mankind Vol II; Selected Topics from Ali Sayigh Book 2016 Springer International Publishing Switzerland
描述This book provides insights on a broad spectrum of renewable and sustainable energy technologies from the world’s leading experts. It highlights the latest achievements in policy, research and applications, keeping readers up-to-date on progress in this rapidly advancing field. Detailed studies of technological breakthroughs and optimizations are contextualized with in-depth examinations of experimental and industrial installations, connecting lab innovations to success in the field. The volume contains selected papers presented at technical and plenary sessions at the World Renewable Energy Congress, the world‘s premier conference on renewable energy and sustainable development. Held every two years, the Congress provides an international forum that attracts hundreds of delegates from more than 60 countries.
出版日期Book 2016
关键词Biomass and Biofuels; Energy Meteorology; Geothermal Power; Green Energy; Hydrogen Fuel Cells; Marine Ene
版次1
doihttps://doi.org/10.1007/978-3-319-18215-5
isbn_softcover978-3-319-79248-4
isbn_ebook978-3-319-18215-5
copyrightSpringer International Publishing Switzerland 2016
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Linear and Nonlinear Modeling for Solar Energy Prediction for Zone, Region and Global Areas and sizing solar energy systems. Due to the high cost and installation difficulties in solar measurement, solar energy data are not always available. Therefore, there is a demand to develop alternative ways of predicting solar energy data. Here, we present linear and nonlinear models for global and
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50—Energy Efficiency in Retrofitting a European Project for Training on Renewable Energy Solutions (ortage of local qualified and accredited retrofitting experts, as foreseen in the Energy Performance of Buildings Directive (EPBD) and its recast—and as indicated by various European countries in an assessment by the European Commission (EC)—for increasing the energy performance of the existing buil
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