Abstract
An innovation of Renewable Energy (RE) sources promises to bring down costs and starts to deliver a clean energy future without compromising reliability. Renewable energy resource selection comes under the domain of multi-criteria decision making (MCDM) problem as it includes multi-conflicting criteria, namely social, technological, environmental, economic, and political. MCDM methodologies are used in order to select preferred alternative resources because of the presence of complexities in energy planning and energy projects. This paper presents an integrated TOPSIS-Z MCDM method for the selection of optimal RE. The pairwise decision matrix is formed by the decision-makers (DM), which is represented in the Z-number, and weights are evaluated. TOPSIS is used to evaluate and rank suitable RE sources. To validate the efficacy of the proposed methodology, Spearman’s Rank Correlation Coefficient (SRCC) is used and the proposed methodology is compared with various other MCDM methods such as ARAS, VIKOR, and COPRAS.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
