Resilience Assessment of Building Hydrogen Energy Systems Under Extreme Climates: Environmental-Economic Synergistic Optimization Based on Emergy and Dynamic Simulation
極端気候下における建築水素エネルギーシステムのレジリエンス評価：エマジーと動的シミュレーションに基づく環境・経済の相乗的最適化 (AI 翻訳)
Xiaoting Zhai, Junxue Zhang, A. Asutosh, Weidong Wu
🤖 gxceed AI 要約
日本語
本研究は、極端な熱波と停電シナリオ下で建築水素エネルギーシステムのレジリエンスを評価するため、動的シミュレーションとエマジー分析を組み合わせた統合最適化フレームワークを構築した。Pareto最適解により、環境負荷率4.33、総合性能42%〜88%向上を示し、推奨構成（50-60kW電解槽、50-70kg水素タンク）はディーゼル代替より生態コスト35%低減。このフレームワークは高温気候リスク地域へ拡張可能。
English
This study develops an integrated optimization framework coupling dynamic simulation and emergy analysis to assess resilience of building hydrogen energy systems under extreme heat waves and grid failure. The Pareto front yields 127 non-dominated solutions with environmental load rate 4.33 and 42%-88% improvement in comprehensive performance. Recommended configurations (50-60 kW electrolyzer, 50-70 kg hydrogen storage) reduce ecological cost by 35% versus diesel backup. The framework is scalable to other high climate risk regions.
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
日本では水素基本戦略が進む中、建築分野での水素活用は限定的だが、本研究成果は停電時レジリエンス向上と脱炭素化を両立する設計指針を提供。夏期の電力逼迫対策にも応用可能で、ZEBや防災拠点のエネルギー計画に示唆を与える。
In the global GX context
Globally, as extreme climate events increase, this study provides a quantitative decision tool for integrating hydrogen storage in building energy systems for resilience. The emergy-based environmental-economic optimization framework is novel and can inform similar work in other regions, contributing to the literature on climate-adaptive, low-carbon building design.
👥 読者別の含意
🔬研究者:Provides a novel emergy-dynamic simulation co-optimization methodology for building hydrogen systems that can be extended to other energy resilience studies.
🏢実務担当者:Offers specific engineering recommendations (electrolyzer size, hydrogen storage capacity) for building hydrogen systems in hot-summer cold-winter regions, with quantified resilience and cost benefits.
🏛政策担当者:Highlights the potential of hydrogen backup systems to enhance building resilience during extreme climate events, supporting policy on distributed energy and emergency preparedness.
📄 Abstract（原文）
The frequent occurrence of extreme climate events poses a severe challenge to the reliability of building energy systems. Hydrogen energy, with its long-term storage capacity, has become a key technology carrier for enhancing building resilience. This study constructs a resilience–environment–economy co-optimization framework that couples dynamic simulation and emergy analysis. Through a five-in-one approach of physical modeling, climate scenario generation, resilience quantification, emergy accounting, and multi-objective optimization, the resilience performance of building hydrogen energy systems under the scenario of extreme heat waves combined with grid failure is evaluated. The results show that the thermal time constant deviation of the electrolyzer is 4.06%, the correlation coefficient between the generated heat wave scenario sequence and the historical measured data is 0.94, the prediction deviation of the once-in-a-century extreme temperature is 0.5%, the environmental load rate is 4.33, the Pareto front contains 127 non-dominated solutions, and the comprehensive performance of the co-optimal solution is improved by 42% to 88%. Engineering suggestions: For public buildings in hot summer and cold winter regions, the hydrogen energy system should adopt a configuration of 50–60 kW electrolyzers and 50–70 kg hydrogen storage tanks, with a key load guarantee rate of no less than 95%, and the ecological cost is 35% lower than that of diesel backup. This study provides a quantitative decision-making tool for the resilience planning of building hydrogen energy systems under extreme climate conditions and can be extended to other high climate risk areas.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/buildings16102002first seen 2026-06-29 09:00:15
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