電気化が困難な部門における水素導入の優先順位付け：システムレベルの環境性能に基づく評価
Prioritizing hydrogen deployment across hard-to-electrify sectors based on system-level environmental performance (原題)
Nauman Arshad, Gulam Husain Patel, Emma Laasonen, Mika Horttanainen, Jouni Havukainen
🤖 gxceed AI 要約
日本語
本研究は、フィンランドのエネルギー移行を対象に、システムレベルLCAを用いて水素の最適な導入経路と部門別優先順位を決定する。100%風力由来の電解水素が最も高い環境性能を示し、気候変動影響を80%削減する。さらに、新たな導入優先指標（DPI）を提案し、部門横断的な意思決定を支援する。
English
This study uses a system-level LCA to determine environmentally optimal hydrogen deployment pathways and sectoral priorities for Finland's energy transition. Results show that 100% wind-powered electrolysis hydrogen delivers the highest environmental performance, reducing national climate impacts by 80%. Two novel deployment priority indices (DPIs) are introduced to guide decision-making.
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
日本の水素基本戦略やSSBJ開示において、水素の環境優位性を部門横断で評価する手法は、企業の脱炭素投資判断や政策立案に示唆を与える。特に、LCAに基づく優先順位付けは、限られた再生可能エネルギー資源の効率的配分に貢献する。
In the global GX context
This study contributes to global hydrogen deployment discussions by providing a transparent, system-level LCA framework with novel deployment priority indices. It offers a method for prioritizing sectors that can inform transition finance and national hydrogen strategies, aligning with ISSB and CSRD disclosure requirements for environmental impact assessment.
👥 読者別の含意
🔬研究者:Provides a novel system-level LCA framework with deployment priority indices for hydrogen, useful for comparative environmental assessments.
🏢実務担当者:Offers a decision-support tool for prioritizing hydrogen investments across sectors, aiding in sustainability strategy and reporting.
🏛政策担当者:Informs national hydrogen strategy and resource allocation by identifying sectors with highest environmental benefit.
📄 Abstract（原文）
Hydrogen is widely considered as a key option for decarbonizing hard-to-electrify sectors; however, identifying where and how it should be deployed requires system-level, multi-impact assessment to avoid environmental burden shifting. This study aims to determine environmentally optimal hydrogen deployment pathways and sectoral priorities for Finland’s energy transition using a scenario-based, system-level LCA. The analysis integrates multiple hydrogen production pathways and their conversion into hydrogen-derived fuels and chemicals, which are deployed across steel, shipping, aviation, heavy-duty transport, chemical production, and oil refining sectors under alternative transition scenarios. Environmental performance is evaluated across five midpoint impact categories: climate change, acidification, fine particulate matter formation, marine eutrophication, and ozone depletion, calculated by using the ReCiPe method. Results show that 100 % wind-powered electrolysis-based hydrogen delivers the highest overall environmental performance, reducing national climate change impacts by 80 % (from 30.8 to 6.2 Mt CO 2 ,eq./a) and decreasing other environmental impacts by 47–76 %. Beyond conventional LCA results, this study introduces two novel deployment priority indices (DPIs) to translate multi-impact outcomes into decision-relevant guidance. The system-weighted DPI identifies sectors where hydrogen deployment yields the greatest reduction in national environmental impacts, while the sector-intrinsic DPI ranks transitions based on their internal multi-impact environmental efficiency, independent of sector size. By jointly applying these two DPIs within a unified system-level LCA framework, this study provides a novel, transparent basis for prioritizing hydrogen deployment across sectors, enabling strategic, impact-driven decision-making and efficient allocation of renewable energy resources.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.enconman.2026.122061first seen 2026-09-05 05:06:45
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