Sustainable energy transition for BIMP regional power grid with technology ranking and optimal mix
BIMP地域電力グリッドの持続可能なエネルギー転換：技術ランキングと最適ミックス (AI 翻訳)
Pinto Anugrah, Rakibuzzaman Shah, N Mithulananthan, Muhammad Rizki Kresnawan, Indra Øverland, Indira Pradnyaswari, Aldilla Noor Rakhiemah, Muhammad Ilham Rizaldi
🤖 gxceed AI 要約
日本語
本研究は、LEAPとMCDAを統合し、BIMP地域の相互接続電力網における再生可能エネルギー技術の優先順位付けと最適ポートフォリオを分析。水力が最もバランスの取れた性能を示し、太陽光は高いスコアだが経済条件で順位が変動。2025-2050年に77-85GWの再エネ容量と146-151十億ドルの投資が必要と試算。
English
This study integrates LEAP and MCDA to prioritize renewable technologies for the BIMP interconnected power grid. Hydro shows the most balanced performance, while solar PV scores high but varies under economic conditions. Optimal portfolios require 77-85 GW of renewable capacity and USD 146-151 billion investment by 2050, supporting diversified technology strategies.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のGX政策では、アジア地域の電力相互連系や再エネ技術の最適ミックスは、国際的な脱炭素協力やインフラ輸出の観点で重要。本研究成果は、日本のエネルギー政策や国際協力の参考となる。
In the global GX context
This research contributes to global energy transition scholarship by demonstrating an integrated modeling and multi-criteria approach for regional grid planning. It provides evidence for diversified renewable portfolios, relevant for regions pursuing net-zero targets and cross-border electricity trade.
👥 読者別の含意
🔬研究者:Provides a methodological framework combining LEAP and TOPSIS for renewable technology prioritization in regional grids.
🏢実務担当者:Offers insights for energy planners and utilities on optimal renewable mix and investment needs for regional interconnection.
🏛政策担当者:Informs regional energy policy and cross-border cooperation strategies for achieving net-zero emissions.
📄 Abstract（原文）
Regional power interconnection presents an important opportunity for reaching net-zero emissions. However, technology prioritization remains challenging due to conflicting stakeholder criteria. This study develops an integrated Low Emission Analysis Platform (LEAP) and Multi Criteria Decision Analysis (MCDA) approach for technology prioritization in the interconnected grids of the Brunei-Indonesia-Malaysia-Philippines (BIMP) region. Six scenarios were developed using LEAP across six regional nodes, five interconnections and five renewable energy sources (hydro, solar PV, wind, geothermal, and biomass) for the period 2025–2050. Next, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis was performed with 11 criteria across 12 sensitivity scenarios. The results show that hydro demonstrates the most balanced profile, combining a strong multi-criteria score (0.565) with low ranking variability (mean absolute deviation/MAD of 0.611) and a 62% pairwise dominance rate. Solar PV achieves the highest multi-criteria scores (0.671) and ranks first in 8 of 12 scenarios, but its ranking drops significantly (MAD = 1.222), particularly under economic priority conditions. Optimal technology portfolios will require 77–85 GW of renewable capacity and USD 146–151 billion in investment, with a relatively balanced allocation per renewable technology. The integrated framework successfully bridges technical energy modelling with multi-criteria decision analysis, supporting the use of diversified renewable technologies rather than technology-specific strategies for regional net-zero achievement.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.apenergy.2026.128463first seen 2026-08-07 04:55:15
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。