The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-Making

The objective of this study is to create an integrated and sustainability-centered framework to identify optimal locations for wind energy projects in Indonesia. This research employs a novel two-phase multi-criteria decision-making (MCDM) framework that combines the strengths of Data Envelopment An...

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Main Authors: Chia-Nan Wang, Yu-Chi Chung, Fajar Dwi Wibowo, Thanh-Tuan Dang, Ngoc-Ai-Thy Nguyen
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/15/4176
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author Chia-Nan Wang
Yu-Chi Chung
Fajar Dwi Wibowo
Thanh-Tuan Dang
Ngoc-Ai-Thy Nguyen
author_facet Chia-Nan Wang
Yu-Chi Chung
Fajar Dwi Wibowo
Thanh-Tuan Dang
Ngoc-Ai-Thy Nguyen
author_sort Chia-Nan Wang
collection DOAJ
description The objective of this study is to create an integrated and sustainability-centered framework to identify optimal locations for wind energy projects in Indonesia. This research employs a novel two-phase multi-criteria decision-making (MCDM) framework that combines the strengths of Data Envelopment Analysis (DEA), Fuzzy Analytic Hierarchy Process (FAHP), and Fuzzy Combined Compromise Solution (F-CoCoSo). Initially, DEA is utilized to pinpoint the most promising sites based on a variety of quantitative factors. Subsequently, these sites are evaluated against qualitative criteria such as technical, economic, environmental, and socio-political considerations using FAHP for criteria weighting and F-CoCoSo for ranking the sites. Comprehensive sensitivity analysis of the criteria weights and a comparative assessment of methodologies substantiate the robustness of the proposed framework. The results converge on consistent rankings across methods, highlighting the effectiveness of the integrated approach. Notably, the results consistently identify Lampung, Aceh, and Riau as the top-ranked provinces, showcasing their strategic suitability for wind plant development. This framework provides a systematic approach for enhancing resource efficiency and strategic planning in Indonesia’s renewable energy sector.
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spelling doaj-art-eeeefd23d10248feaa355533e1559cb92025-08-20T03:02:58ZengMDPI AGEnergies1996-10732025-08-011815417610.3390/en18154176The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-MakingChia-Nan Wang0Yu-Chi Chung1Fajar Dwi Wibowo2Thanh-Tuan Dang3Ngoc-Ai-Thy Nguyen4Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Logistics and Supply Chain Management, Hong Bang International University, Ho Chi Minh 72320, VietnamDepartment of Logistics and Supply Chain Management, Faculty of Business Administration, Industrial University of Ho Chi Minh City, Ho Chi Minh 70000, VietnamThe objective of this study is to create an integrated and sustainability-centered framework to identify optimal locations for wind energy projects in Indonesia. This research employs a novel two-phase multi-criteria decision-making (MCDM) framework that combines the strengths of Data Envelopment Analysis (DEA), Fuzzy Analytic Hierarchy Process (FAHP), and Fuzzy Combined Compromise Solution (F-CoCoSo). Initially, DEA is utilized to pinpoint the most promising sites based on a variety of quantitative factors. Subsequently, these sites are evaluated against qualitative criteria such as technical, economic, environmental, and socio-political considerations using FAHP for criteria weighting and F-CoCoSo for ranking the sites. Comprehensive sensitivity analysis of the criteria weights and a comparative assessment of methodologies substantiate the robustness of the proposed framework. The results converge on consistent rankings across methods, highlighting the effectiveness of the integrated approach. Notably, the results consistently identify Lampung, Aceh, and Riau as the top-ranked provinces, showcasing their strategic suitability for wind plant development. This framework provides a systematic approach for enhancing resource efficiency and strategic planning in Indonesia’s renewable energy sector.https://www.mdpi.com/1996-1073/18/15/4176Indonesiasite selectionwind energyrenewable energymulti-criteria decision-makingdata envelopment analysis
spellingShingle Chia-Nan Wang
Yu-Chi Chung
Fajar Dwi Wibowo
Thanh-Tuan Dang
Ngoc-Ai-Thy Nguyen
The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-Making
Energies
Indonesia
site selection
wind energy
renewable energy
multi-criteria decision-making
data envelopment analysis
title The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-Making
title_full The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-Making
title_fullStr The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-Making
title_full_unstemmed The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-Making
title_short The Planning of Best Site Selection for Wind Energy in Indonesia: A Synergistic Approach Using Data Envelopment Analysis and Fuzzy Multi-Criteria Decision-Making
title_sort planning of best site selection for wind energy in indonesia a synergistic approach using data envelopment analysis and fuzzy multi criteria decision making
topic Indonesia
site selection
wind energy
renewable energy
multi-criteria decision-making
data envelopment analysis
url https://www.mdpi.com/1996-1073/18/15/4176
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