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Rare Earth Oxides Based Composites for High Voltage Supercapacitors Applications: A Short Review Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Application of Fuzzy Linguistic Modeling Aggregated with VIKOR for Optimal Selection of Solar Power Plant Site: An Empirical Study

Authors : Bhavin Shah, Harsh Lakhani, Kumar Abhishek, Soni Kumari

Published in: Renewable Energy and Climate Change

Publisher: Springer Singapore

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Abstract

Fast development of the economies and technology leads a tremendous increase in the demand for electrical energy. The primary energy sources viz. coal, natural gas, petroleum, etc. replenished day by day as they require millions of years for their formation. To address this issue, utilization of renewable energy sources such as wind energy, solar energy, hydropower, marine energy, etc. have been considered as one of the vital solutions to meet the energy demand. But they require huge investment; hence, feasible studies are essentially needed for finding the large systems associated with aforesaid resources. Therefore, this work highlights the several suggestions for selection of site which is an important stage in the establishment of solar power plant. Moreover, a hierarchy multi-criteria decision-making (MCDM) approach based on fuzzy logic and VIKOR method has been adopted for the selection of site in the Gujarat state of India.

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Metadata
Title
Application of Fuzzy Linguistic Modeling Aggregated with VIKOR for Optimal Selection of Solar Power Plant Site: An Empirical Study
Authors
Bhavin Shah
Harsh Lakhani
Kumar Abhishek
Soni Kumari
Copyright Year
2020
Publisher
Springer Singapore
Book
Renewable Energy and Climate Change

Print ISBN: 978-981-329-577-3

Electronic ISBN: 978-981-329-578-0

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-32-9578-0_11

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