Title: Analytical hierarchy process and data envelopment analysis for assessment of renewable energy sources

Authors: Müjgan Bilge Eriş; Kemal Tepret; Hande Çavuş Arslan; Çağrı Özgün Kibiroğlu

Addresses: Department of Industrial Engineering, Yeditepe University, Istanbul, Turkey ' Department of Industrial Engineering, Halic University, Istanbul, Turkey ' Department of Industrial Engineering, Halic University, Istanbul, Turkey ' Department of Industrial Engineering, Halic University, Istanbul, Turkey

Abstract: Most of the energy resources consumed today come from fossil fuels which are non-renewable and cause harmful effects on the environment. Technological improvements and increasing energy deficit have made countries to prioritize the exploration of alternative options and place greater emphasis on renewable energy resources. In this research, the analytic hierarchy process (AHP) and data envelopment analysis (DEA) techniques are used to assess the relative efficiency and generate priority rankings for a set of renewable energy resources in Türkiye. Hydroelectric, wind, solar, geothermal, and biomass energy resources are evaluated under several criteria by applying the AHP and DEA techniques. The findings of this study are expected to aid in identifying the leading renewable energy source for the future from the perspective of the AHP and DEA.

Keywords: analytic hierarchy process; AHP; data envelopment analysis; DEA; energy efficiency; renewable energy resources; multi-criteria decision making.

DOI: 10.1504/IJGW.2025.145089

International Journal of Global Warming, 2025 Vol.35 No.2/3/4, pp.161 - 172

Received: 15 Jul 2023
Accepted: 17 Dec 2023
Published online: 19 Mar 2025 *

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