LAPSE:2023.16412v1
Published Article

LAPSE:2023.16412v1
Fuzzy-Based Investigation of Challenges for the Deployment of Renewable Energy Power Generation
March 3, 2023
Abstract
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.
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.
Record ID
Keywords
distributed generation, fuzzy logic, renewable energy power generation, TFN
Subject
Suggested Citation
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. (2023). LAPSE:2023.16412v1
Author Affiliations
Shabbiruddin: Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Gangtok 737136, India [ORCID]
Kanwar N: Department of Electrical Engineering, Manipal University Jaipur, Jaipur 303007, India [ORCID]
Jadoun VK: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India [ORCID]
Alotaibi MA: Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia [ORCID]
Malik H: BEARS, NUS Campus, University Town, Singapore 138602, Singapore [ORCID]
E. Nassar M: Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Kanwar N: Department of Electrical Engineering, Manipal University Jaipur, Jaipur 303007, India [ORCID]
Jadoun VK: Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India [ORCID]
Alotaibi MA: Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia [ORCID]
Malik H: BEARS, NUS Campus, University Town, Singapore 138602, Singapore [ORCID]
E. Nassar M: Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Journal Name
Energies
Volume
15
Issue
1
First Page
58
Year
2021
Publication Date
2021-12-22
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15010058, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.16412v1
This Record
External Link

https://doi.org/10.3390/en15010058
Publisher Version
Download
Meta
Record Statistics
Record Views
141
Version History
[v1] (Original Submission)
Mar 3, 2023
Verified by curator on
Mar 3, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.16412v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works
