Analyzing operational and maintenance strategies for electrolysis-based hydrogen production for industrial decarbonization
産業用脱炭素に向けた電解水素製造の運転・保守戦略分析 (AI 翻訳)
Giulia Fede, Fabio Sgarbossa, Daniel F. Silva
🤖 gxceed AI 要約
日本語
再生可能エネルギー由来の電解水素製造の経済性改善に向け、エージェントベースシミュレーションを用いて運転・保守戦略の影響を評価。スタック交換ポリシーの最適化により最大21%の生涯コスト削減が可能であり、運転制約による効果は限定的であることを示した。
English
This study uses agent-based simulation to evaluate operational and maintenance strategies for renewable-powered electrolytic hydrogen production. Results show that optimized stack replacement policies reduce lifetime costs by up to 21% compared to conservative strategies, while operational constraints have marginal impact.
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グリーンイノベーション基金と連動し、電解水素のコスト低減はSSBJや投資家向け開示でも重要なテーマ。本論文はO&M戦略の定量評価を提供し、実務での意思決定に示唆を与える。
In the global GX context
This paper provides quantitative insights into cost reduction for electrolytic hydrogen, a key technology for industrial decarbonization globally. The findings are relevant for ISSB-aligned disclosure on transition plans and for companies pursuing hydrogen investments.
👥 読者別の含意
🔬研究者:Agent-based simulation methodology for hydrogen system optimization and the trade-offs in stack replacement.
🏢実務担当者:Guidance on O&M strategies, especially condition-based stack replacement, to reduce hydrogen production costs.
🏛政策担当者:Evidence that policy support for hydrogen should consider operational optimization to improve economic viability.
📄 Abstract（原文）
Hydrogen (H2) is recognized as a key enabler of decarbonization in energy-intensive industries. However, the economic viability of H2 production via renewable-powered electrolysis remains a major challenge. While advancements in electrolyzer technology are essential, further cost reductions can be achieved through optimized operational and maintenance (O&M) strategies. This study develops an agent-based simulation model to represent an electrolysis-based H2 production system over its lifetime and evaluate the impact of alternative O&M strategies on economic performance, degradation dynamics, and H2 demand fulfillment. The electrolyzer uses wind power and is supported by grid electricity, while the model explicitly captures startups, load-dependent efficiency, degradation effects, and stack replacement actions. Results show that operational constraints have a marginal impact on long-term performance, with limited gains in cost and stack lifetime from avoiding inefficient low-load operation. In contrast, carefully defined stack replacement policies lead to substantially larger lifetime cost reductions, up to 21% compared to overly conservative replacement strategies. The findings further highlight multiple trade-offs associated with selecting the replacement threshold, as well as the robustness of condition-based stack replacement under degradation uncertainty.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.7148/2026-0804first seen 2026-07-01 05:46:21 · last seen 2026-07-01 05:49:52
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