Multi-objective supply chain optimization of renewable energy carrier imports for Europe
欧州向け再生可能エネルギーキャリア輸入の多目的サプライチェーン最適化 (AI 翻訳)
Mohammad Zardoshti Zadeh Yazdi, Jörn‐Christian Meyer, Grit Walther
🤖 gxceed AI 要約
日本語
本論文は、欧州への再生可能エネルギーキャリア輸入のための多目的最適化モデルを提案。経済性、環境影響、供給安全保障のトレードオフを分析し、コスト最小化よりも供給リスクを90%低減できるがコストが190%増加することなどを示す。再生可能エネルギー輸入計画における複数目的のバランスの重要性を強調する。
English
This paper proposes a multi-objective optimization model for renewable energy carrier (REC) imports to Europe. It evaluates trade-offs between cost, GHG emissions, and supply security, showing that a supply-risk-optimal approach reduces security risk by 90% but increases cost by 190%. The study highlights the need to balance multiple objectives for sustainable REC supply chains.
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
日本もエネルギー資源の多くを輸入に依存しており、再生可能エネルギーキャリアの調達リスクとコストのバランスは重要な課題。本モデルは日本のエネルギー輸入戦略策定にも応用可能性がある。
In the global GX context
This model addresses a critical global challenge for renewable energy imports: balancing affordability, environmental impact, and supply security. It provides a quantitative framework that can inform EU policy and be adapted for other regions like Asia.
👥 読者別の含意
🔬研究者:Provides a novel mixed-integer quadratic programming model for multi-objective REC supply chain design that can be extended or applied to other regions.
🏢実務担当者:Energy import planners can use the framework to evaluate trade-offs and identify robust partnerships and infrastructure investments.
🏛政策担当者:Informs EU decision-makers on shaping import strategies that balance cost, emissions, and supply security, with implications for energy independence.
📄 Abstract(原文)
The transition toward climate neutrality requires the adoption of renewable energy carriers (RECs). Spatial disconnects between renewable energy production in resource-rich regions and its utilization in resource-deficit regions create the need for supply chains that enable long-distance transport of RECs. To ensure sustainable REC supply chains, we must prioritize affordability, low environmental impact, and supply security. We propose a multi-period, multi-objective, mixed-integer quadratic programming model to design supply chains for importing RECs, including strategic decisions on exporting regions, resource allocation, and infrastructure for production and transportation. We evaluate economic, environmental, and supply-security aspects by minimizing net present cost, greenhouse gas (GHG) emissions, and a supply-security risk approximation measured as a political-risk-weighted Herfindahl–Hirschman index. A European case study shows that, compared with a cost-optimal solution, a supply risk-optimal approach reduces the supply-security risk index by 90% but increases cost by 190%, while a GHG-optimal solution reduces emissions by 12% at an additional cost of 232%. Hence, balancing cost, emissions, and supply-security remains essential for REC import planning. Our findings inform Europe's future REC imports, supporting decision-makers in shaping robust REC partnerships and facilitating Europe's transition to climate neutrality. • We present an optimization approach examining renewable energy import partners. • The approach considers economic, environmental, and supply security objectives. • It identifies optimal exporting regions, their supply shares, and infrastructure. • It considers multiple renewable energy carriers trade over the long-term horizon. • We demonstrate the approach for the case of renewable energy imports to Europe.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.apenergy.2026.127884first seen 2026-05-05 07:40:48
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。