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Integrating Hydrogen into Ontario's Energy Hub: A Robust, Carbon-Aware Framework for Power-Heat-Transport

オンタリオ州のエネルギーハブへの水素統合：電力・熱・輸送のためのロバストでカーボンアウェアなフレームワーク (AI 翻訳)

Hossein Mirzaee, M. M. Sani, Hamed Samarghandi

2026-05-25#水素Origin: Global
原典: https://www.semanticscholar.org/paper/82642a65ebd993b8e22ab8462186ba89261c85df

🤖 gxceed AI 要約

日本語

この論文は、オンタリオ州を対象に、水素サブハブを含む統合エネルギーハブの最適化フレームワークを提案。炭素税とネットゼロ経路の2つの政策を比較し、25年間の計画期間で電解槽と水素貯蔵の大規模拡大を示す。ロバスト最適化により不確実性下での実行可能性を確保しつつ、コスト増加は約6.6-9.0%に抑えられる。

English

This paper develops a carbon-aware optimization framework for an integrated energy hub with hydrogen, applied to Ontario, Canada. It examines Carbon Tax and Net-Zero policy pathways over 2025-2050, finding substantial hydrogen expansion (electrolyzer from 300 MW to 3,800 MW) and a robustness premium of 6.6-9.0% for uncertainty hedging.

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、水素を中心としたカーボンアウェアなエネルギー計画手法を提供し、日本の水素社会実現やカーボンプライシング政策の検討に示唆を与える。特に、ロバスト最適化による不確実性対処法は、日本の地域エネルギー計画にも応用可能。

In the global GX context

This paper offers a robust, integrated planning approach for hydrogen deployment under carbon pricing, relevant for global energy hubs. The framework's explicit handling of uncertainty and multiple energy vectors (power, heat, transport) aligns with ISSB and TCFD's emphasis on scenario analysis and resilience.

👥 読者別の含意

🔬研究者:The robust optimization methodology and long-term hydrogen expansion results are valuable for energy system modelers.

🏢実務担当者:The framework can inform corporate energy planning and investment decisions in hydrogen infrastructure.

🏛政策担当者:The analysis of Carbon Tax vs. Net-Zero pathways provides insights for designing effective decarbonization policies.

📄 Abstract（原文）

Decarbonizing electricity generation, heating, and transportation simultaneously requires integrated planning tools that can coordinate multiple energy production sources and demand points while remaining reliable under uncertainty. This paper develops a carbon-aware and uncertainty-resilient optimization framework for a grid-connected multiple source hub that co-optimizes electricity, heating, cooling, and transport energy services with an explicit hydrogen sub-hub. The proposed model is formulated as an MILP over a 25-year planning horizon (2025-2050). The hub integrates renewable electricity (Photovoltaic and wind), dispatchable resources (including natural-gas-based conversion), storage systems, demand response, and a hydrogen subsystem comprising an electrolyzer and hydrogen storage to supply hydrogen-vehicle demand and provide temporal flexibility. Two policy archetypes are examined: a Carbon Tax (price instrument), and a Net-Zero pathway (quantity instrument). To hedge feasibility-critical operational uncertainty, the deterministic model is extended using budgeted robust optimization and a tunable uncertainty budget. The developed scheme is applied to the province of Ontario, Canada; the results indicate substantial long-term hydrogen expansion, with the electrolyzer capacity increasing from 300~MW (2025) to 3,800~MW (2050) and hydrogen storage from 2,000~MWh to 37,000~MWh (2050), accompanied by sharply higher hydrogen production. Compared with deterministic solutions, robust solutions preserve feasibility under adverse realizations but incur a moderate robustness premium of approximately 6.6-9.0\% in total cost across the policy cases studied, while slightly reducing hydrogen utilization and renewable share and increasing reliance on dispatchable balancing.

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