TY - JOUR
T1 - Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation
AU - Shabbiruddin,
AU - Kanwar, Neeraj
AU - Jadoun, Vinay Kumar
AU - Alotaibi, Majed A.
AU - Malik, Hasmat
AU - Nassar, Mohammed E.
N1 - Funding Information:
The authors extend their appreciation to the Researchers Supporting Project at King Saud University, Riyadh, Saudi Arabia, for funding this research work through the project number RSP-2021/278. The authors extend their appreciation to the Researchers Supporting Project of Intelligent Prognostic Private Limited India, for funding this research work. Authors are thankful to Kind Saud University, Saudi Arabia, Intelligent Prognostic Private Limited Delhi India, Sikkim Manipal Institute of Technology, Manipal University Jaipur and Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal for providing all necessary technical and non-technical support for the present work.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
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U2 - 10.3390/en15010058
DO - 10.3390/en15010058
M3 - Article
AN - SCOPUS:85122127697
SN - 1996-1073
VL - 15
JO - Energies
JF - Energies
IS - 1
M1 - 58
ER -
