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A decision support framework for cross-border renewable energy collaboration assessment in ASEAN

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  • Wang, Chia-Nan
  • Nhieu, Nhat-Luong

Abstract

The growing energy demand in ASEAN, coupled with climate change pressures, necessitates a sustainable shift toward renewable energy (RE). To support regional cooperation, this study proposes a novel decision support framework for assessing cross-border renewable energy alliances (CBREAs) among ASEAN countries. The framework integrates neutrosophic fuzzy MADM methods (NF-OPA and NF-AD) to evaluate and prioritize RE technologies, and a compromise multi-objective linear programming model to optimize electricity generation planning and exchange. Future electricity consumption is forecasted using the GM(1,1) grey prediction model. Empirical analysis reveals that solar and wind energy are the most suitable technologies across ASEAN, while countries like Laos and Malaysia emerge as key electricity exporters. Policy implications highlight the value of territorial cooperation for shared RE infrastructure, the importance of tailoring capacity design to national strengths, and the environmental benefits of regional coordination. This framework offers practical insights for energy policymakers pursuing integrated and cost-effective RE development in Southeast Asia.

Suggested Citation

  • Wang, Chia-Nan & Nhieu, Nhat-Luong, 2026. "A decision support framework for cross-border renewable energy collaboration assessment in ASEAN," Renewable Energy, Elsevier, vol. 256(PE).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pe:s0960148125019640
    DOI: 10.1016/j.renene.2025.124300
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