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Article

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

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Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Gangtok 737136, India
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Department of Electrical Engineering, Manipal University Jaipur, Jaipur 303007, India
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Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India
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Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
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BEARS, NUS Campus, University Town, Singapore 138602, Singapore
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Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
*
Authors to whom correspondence should be addressed.
Academic Editors: Galih Bangga and Len Gelman
Energies 2022, 15(1), 58; https://doi.org/10.3390/en15010058
Received: 11 November 2021 / Revised: 9 December 2021 / Accepted: 14 December 2021 / Published: 22 December 2021
(This article belongs to the Collection Feature Papers on Wind, Wave and Tidal Energy)
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. View Full-Text
Keywords: distributed generation; fuzzy logic; TFN; renewable energy power generation distributed generation; fuzzy logic; TFN; renewable energy power generation
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MDPI and ACS Style

Shabbiruddin; Kanwar, N.; Jadoun, V.K.; Alotaibi, M.A.; Malik, H.; E. Nassar, M. Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation. Energies 2022, 15, 58. https://doi.org/10.3390/en15010058

AMA Style

Shabbiruddin, Kanwar N, Jadoun VK, Alotaibi MA, Malik H, E. Nassar M. Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation. Energies. 2022; 15(1):58. https://doi.org/10.3390/en15010058

Chicago/Turabian Style

Shabbiruddin, Neeraj Kanwar, Vinay Kumar Jadoun, Majed A. Alotaibi, Hasmat Malik, and Mohammed E. Nassar. 2022. "Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation" Energies 15, no. 1: 58. https://doi.org/10.3390/en15010058

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