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2020 | OriginalPaper | Buchkapitel

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

verfasst von : Bhavin Shah, Harsh Lakhani, Kumar Abhishek, Soni Kumari

Erschienen in: Renewable Energy and Climate Change

Verlag: 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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Metadaten
Titel
Application of Fuzzy Linguistic Modeling Aggregated with VIKOR for Optimal Selection of Solar Power Plant Site: An Empirical Study
verfasst von
Bhavin Shah
Harsh Lakhani
Kumar Abhishek
Soni Kumari
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-32-9578-0_11

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