A Multi-Objective Optimization and Superstructure-Based Decision-Support Tool for Regional Low-Carbon Hydrogen Roadmaps: Methodology and Application to a region of Spain
地域低炭素水素ロードマップのための多目的最適化とスーパーストラクチャに基づく意思決定支援ツール：方法論とスペインの地域への適用 (AI 翻訳)
Silvia Moreno, Alejandro Aragón-García, A.L. Villanueva Perales, Bernabé Alonso‐Fariñas, Pedro Haro
🤖 gxceed AI 要約
日本語
本研究は、スペイン・ガリシア州を対象に、低炭素水素供給システムの多目的最適化フレームワークを開発。2030年の需要を100%満たす場合、バイオマスガス化が支配的となる一方、60%需要の場合、PEM電解とバイオマスガス化の組み合わせが最適解として示された。費用、排出、雇用のトレードオフを定量化。
English
This study develops a multi-objective optimization framework for a low-carbon hydrogen supply system in Galicia, Spain. Results show that meeting 100% of projected 2030 demand yields a solution dominated by biomass gasification, while at 60% demand, a combination of PEM electrolysis and biomass gasification emerges as the top compromise, considering cost, emissions, and employment criteria.
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
本論文は、地域レベルの低炭素水素ロードマップ策定に資する手法を提供。日本においても、水素基本戦略や地域水素ハブ構想の検討に応用可能。特に、複数基準（コスト・排出・雇用）を考慮した意思決定支援は、自治体や企業の水素導入計画に有用。
In the global GX context
This paper presents a transferable decision-support tool for regional low-carbon hydrogen planning, which is highly relevant to global hydrogen strategies and the EU's net-zero targets. It demonstrates how multi-objective optimization can integrate economic, environmental, and social criteria, offering a model for other regions worldwide.
👥 読者別の含意
🔬研究者:This paper provides a replicable optimization framework for designing regional hydrogen systems, useful for energy system modelers and hydrogen roadmap researchers.
🏢実務担当者:Corporate sustainability teams in energy-intensive industries can apply the methodology to assess hydrogen supply options and trade-offs for their regional clusters.
🏛政策担当者:Regional and national policymakers can use the tool to evaluate hydrogen deployment pathways and balance competing objectives like cost, emissions, and employment.
📄 Abstract（原文）
Decarbonization of hydrogen-intensive industrial clusters is essential to meet the European Union’s net-zero targets. Although hydrogen can replace fossil-based feedstocks and fuels in refineries and chemical industries, its production remains largely dependent on natural gas. Therefore, cost-effective and low-emission supply routes require a system-level approach that integrates regional resources, technologies, and industrial demand. This study applies a multi-objective optimization framework to design a low-carbon hydrogen supply system for Galicia (northwestern Spain), addressing two gaps in regional energy system modeling: model transferability across regions and integration of social criteria beyond techno-economic assessment. The model quantifies trade-offs between total system cost and greenhouse gas emissions, and an employment indicator is integrated via post-processing using TOPSIS. The results show that meeting 100% of the projected 2030 demand (105 kt H2/a) yields a single feasibility-limited solution dominated by biomass gasification (69% of hydrogen production). When the demand was reduced to 60% coverage (63 kt H2/a), 28 non-dominated solutions were obtained. The top-ranked compromise combines 55% PEM electrolysis and 45% biomass gasification, supported by a wind-dominated electricity mix, under equal weighting of economic, environmental, and social criteria. When either emissions or employment is prioritized, this compromise remains top-ranked, while the cost prioritization shifts preference to a solution with hydrogen production from PEM (51%) and alkaline (3%) electrolysis and biomass gasification (46%).
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.69997/sct.112184first seen 2026-06-21 05:16:06
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