Author: Satyapal Kumar
DOI Link: https://doi.org/10.70798/Bijmrd/04020041
Abstract :
Renewable energy planning has become a crucial component of sustainable develop-ment due to increasing environmental concerns and the depletion of conventional energy resources. Selecting an appropriate renewable energy site involves evaluating multiple conflicting criteria under uncertain and imprecise conditions. Classical decision-making models often fail to capture such vagueness and ambiguity present in expert judgments.
In this paper, a hybrid fuzzy multi-criteria decision-making (MCDM) framework is proposed for renewable energy site selection under uncertainty. The proposed model in-tegrates fuzzy Analytic Hierarchy Process (AHP), fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and fuzzy goal programming to construct a comprehensive decision-support system. Fuzzy AHP is employed to determine the relative importance of decision criteria using linguistic judgments, while fuzzy TOPSIS is used to rank potential renewable energy sites based on their proximity to ideal solutions. Furthermore, fuzzy goal programming is incorporated to optimize the satisfaction level. of multiple decision objectives simultaneously.
The proposed hybrid framework provides a systematic approach for handling uncer-tainty, integrating multiple decision criteria, and improving the robustness of renewable energy planning. A numerical illustration is presented to demonstrate the applicability and effectiveness of the model. The results show that the hybrid fuzzy optimiza tion-MCDM approach provides consistent and reliable decision outcomes, making it a valuable tool for policymakers and planners involved in sustainable energy development.
Keywords: Fuzzy sets, Multi-criteria decision making, Fuzzy AHP, Fuzzy TOPSIS, Goal programming, Renewable energy planning.
Page No: 315-338