Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation

Shabbiruddin, . and Kanwar, Neeraj and Jadoun, Vinay Kumar and Alotaibi, Majed A and Malik, Hasmat and Nassar, Mohammed E. (2022) Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation. enrgies, 15 (1). ISSN 1996-1073

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Studying and analyzing the challenges that the renewable energy sector faces can help evaluate the risks and improve the planning. This research is done by considering the challenges in the implementation of sustainable generation of electricity through RESs in India, based on factors, including technical, financial, involvement, support, and others. The triangular fuzzy number (TFN) method, based on fuzzy logic concept, is used to analyze the challenges in this study. In general, TFN comprises of three numbers, likewise Gaussian fuzzy numbers, trapezoidal fuzzy numbers also exist. The classified sets of numbers are denotations to decision-makers’ perspective or a choice towards the criterion preference. Although alternatives are many to design a fuzzy set depending on elements count, the TFNs are the ones considered as actual representations of a fuzzy number. On the other hand, cases the Gaussian or trapezoidal, are manifestations of fuzzy intervals. Another argument is that the membership function shape corresponding to the number of fuzzy set elements is largely dependent on the study. The challenges identified along with analysis in this paper will help the industry, governments, and policymakers focus and tackle essential issues to facilitate further the deployment of RESs in India towards a more sustainable country

Item Type: Article
Uncontrolled Keywords: distributed generation; fuzzy logic; TFN; renewable energy power generation
Subjects: Engineering > MIT Manipal > Electrical and Electronics
Depositing User: MIT Library
Date Deposited: 26 Mar 2022 08:45
Last Modified: 26 Mar 2022 08:45
URI: http://eprints.manipal.edu/id/eprint/158468

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