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Multi-criteria Decision Making for Solar Panel Selection Using Fuzzy Analytical Hierarchy Process and Technique for Order Preference by Similarity to ideal Solution (TOPSIS): An Empirical Study
Abstract Solar energy has been one of the most utilized resources of non-conventional energy compared to wind and tidal energies. A photovoltaic system is used to generate solar energy by photovoltaics. The advancements emerged in solar power generation resulted as an economic alternative compared to conventional coal- or gas-based thermal power plants which are not only costly but pollute environment. The solar panel plays a vital role in a photovoltaic system, and a considerable research work is being done globally in order to reduce costs with better efficiency. Selection of solar panel encompasses complex factors involving both subjective and quantifiable parameters. Balancing both subjective and quantifiable parameters is essential for selecting appropriate solar panel. An integrated method is developed by combining Fuzzy analytical hierarchy process and Technique for Order Preference by Similarity to Ideal Solution, and the same is proposed for a 100 W solar panel selection. The case study was conducted to validate the proposed model for solar panel selection.
Multi-criteria Decision Making for Solar Panel Selection Using Fuzzy Analytical Hierarchy Process and Technique for Order Preference by Similarity to ideal Solution (TOPSIS): An Empirical Study
Abstract Solar energy has been one of the most utilized resources of non-conventional energy compared to wind and tidal energies. A photovoltaic system is used to generate solar energy by photovoltaics. The advancements emerged in solar power generation resulted as an economic alternative compared to conventional coal- or gas-based thermal power plants which are not only costly but pollute environment. The solar panel plays a vital role in a photovoltaic system, and a considerable research work is being done globally in order to reduce costs with better efficiency. Selection of solar panel encompasses complex factors involving both subjective and quantifiable parameters. Balancing both subjective and quantifiable parameters is essential for selecting appropriate solar panel. An integrated method is developed by combining Fuzzy analytical hierarchy process and Technique for Order Preference by Similarity to Ideal Solution, and the same is proposed for a 100 W solar panel selection. The case study was conducted to validate the proposed model for solar panel selection.
Multi-criteria Decision Making for Solar Panel Selection Using Fuzzy Analytical Hierarchy Process and Technique for Order Preference by Similarity to ideal Solution (TOPSIS): An Empirical Study
Sasikumar, Gnanasekaran (Autor:in) / Ayyappan, Sivasangari (Autor:in)
Journal of The Institution of Engineers (India): Series C ; 100 ; 707-715
12.06.2019
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
The Technique For Order of Preference by Similarity to Ideal Solution (TOPSIS)
Springer Verlag | 2021
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