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

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 convent...

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Bibliographic Details
Published in:Journal of the Institution of Engineers (India) Series C 2019-08, Vol.100 (4), p.707-715
Main Authors: Sasikumar, Gnanasekaran, Ayyappan, Sivasangari
Format: Article
Language:English
Subjects:
Aerospace Technology and Astronautics
Analytic hierarchy process
Case Study
Decision analysis
Decision making
Empirical analysis
Engineering
Industrial and Production Engineering
Mechanical Engineering
Multiple criterion
Parameters
Photovoltaic cells
Similarity
Solar cells
Solar energy
Solar panels
Solar power generation
Thermal power plants
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Summary: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.
ISSN:2250-0545
2250-0553
DOI:10.1007/s40032-019-00520-2