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

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.

Automated summary

This research analyzes the challenges in implementing sustainable generation of electricity through renewable energy sources (RESs) in India, considering various factors such as technical, financial, involvement, and support. The study utilizes the triangular fuzzy number (TFN) method, based on the concept of fuzzy logic, to assess these challenges. The identified challenges and analysis in this paper can assist the industry, governments, and policymakers in addressing important issues and promoting the further deployment of RESs in India towards a more sustainable country.