Robust optimization of a decarbonized integrated energy system with hydrogen generation considering the impacts of carbon capture strategy
脱炭素化された統合エネルギーシステムの水素生成を考慮したロバスト最適化：炭素回収戦略の影響の考察 (AI 翻訳)
Kun Song, Wenbo Gu, Naixin Zhao, Zipeng Zheng
🤖 gxceed AI 要約
日本語
本研究は、炭素回収戦略の不確実性を考慮した統合エネルギーシステム（IES）の二段階ロバスト最適計画モデルを提案する。異なる二つの炭素回収戦略を比較し、グレー、ブルー、グリーン水素を含む六つのシナリオを評価した結果、戦略2（総量マッチング）が優れ、純グリーン水素シナリオは物理的に実現不可能であり、ブルー水素が最も堅牢なトレードオフを提供することが示された。
English
This study proposes a two-stage robust optimal planning model for a decarbonized integrated energy system considering carbon capture uncertainties. Two carbon capture strategies and six hydrogen pathways are evaluated. Results show that Strategy 2 (total amount matching) outperforms, pure green hydrogen is infeasible due to winter energy droughts, and the blue hydrogen pathway offers the best trade-off between deep decarbonization and economic feasibility.
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、CCSと水素を統合したIESの最適化手法を提供しており、日本のGX政策におけるエネルギーシステム設計や、2030年の排出削減目標達成に向けた技術的知見に貢献する。
In the global GX context
This study provides a robust optimization framework for planning decarbonized integrated energy systems with CCS and hydrogen, relevant to global energy transition planning and the design of future low-carbon grids.
👥 読者別の含意
🔬研究者:The C&CG algorithm and comparison of carbon capture strategies offer methodological insights for energy system optimization under uncertainty.
🏢実務担当者:Results on heat storage operation and hydrogen pathway feasibility inform practical system design and investment decisions.
🏛政策担当者:The infeasibility of pure green hydrogen under current conditions suggests the need for stable power sources or hybrid pathways in policy planning.
📄 Abstract（原文）
Integrated energy systems (IES) are pivotal for achieving carbon neutrality, yet the uncertainty of carbon capture processes remains a critical planning challenge. To address this, this study proposes a two-stage robust optimal planning model for a decarbonized IES, solved via the column-and-constraint generation (C&CG) algorithm. The model uniquely compares two distinct carbon capture strategies and integrates a logic-based heat storage operation strategy to mitigate renewable fluctuations. Furthermore, six scenarios representing gray, blue, and green hydrogen pathways are systematically evaluated using the analytic network process (ANP). The results demonstrate that: (1) Strategy 2 (total amount matching) outperforms Strategy 1 (real-time matching), creating a significant flexible load margin that reduces grid peak demand and total costs; (2) pure green hydrogen scenarios are identified as physically infeasible under current conditions due to winter energy droughts, highlighting the necessity of stable power sources; (3) the ANP evaluation confirms that Scenario 1 (the blue hydrogen pathway) achieves the highest comprehensive score, offering the most robust trade-off between deep decarbonization and economic feasibility.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1063/5.0311980first seen 2026-05-15 20:04:07
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