A Cooperative Planning Framework for Hydrogen Blending in Great Britain’s Integrated Energy System
英国統合エネルギーシステムにおける水素混焼のための協調計画フレームワーク (AI 翻訳)
Mohamed Abuella, Adib Allahham, Sara Walker
🤖 gxceed AI 要約
日本語
本研究は、英国の2050年ネットゼロ目標達成に向け、水素混焼(0-100%)のシステム全体影響を評価する二段階最適化フレームワークを提案。長期的な協調投資計画と短期的な運用シミュレーションを組み合わせ、シャープレイ値による便益配分を行う。協調計画は従来の集中型計画に対し、100%水素時でCO2 31%減、運用コスト26%減、電力供給8%減を実現。20%混焼までは運用安定性を維持し、低混焼でも事業収益性を確保する。
English
This study proposes a bi-level optimization framework for hydrogen blending (0-100%) in Great Britain's energy system, combining cooperative long-term investment planning with short-term operational simulation. Using Shapley-value payoff allocation, the cooperative approach reduces CO2 emissions by 31%, operational costs by 26%, and electricity supply by 8% at 100% hydrogen compared to centralized planning. Blending up to 20% maintains operational stability and ensures profitability at lower thresholds.
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
本論文は英国向けだが、日本の水素基本戦略や福島水素エネルギー研究フィールドなどの実証にも示唆を与えうる。ただし、日本特有の地形・ガス網構造や輸入水素依存の事情を考慮した追加検討が必要。
In the global GX context
This paper offers a novel cooperative game-theoretic framework for hydrogen blending, relevant to global net-zero planning. It provides empirical evidence that stakeholder coordination can outperform centralized planning, informing ISSB-aligned transition pathways and infrastructure investment decisions.
👥 読者別の含意
🔬研究者:A cooperative planning model using Shapley value for hydrogen infrastructure investment, with detailed operational constraints and emission-cost tradeoffs.
🏢実務担当者:Insights for energy utilities and hydrogen project developers on optimal blending levels and the value of cooperative stakeholder engagement.
🏛政策担当者:Demonstrates that coordinated, phased hydrogen blending can be economically viable at 20% and significantly reduces emissions, informing regulatory frameworks.
📄 Abstract(原文)
Achieving Great Britain’s 2050 net-zero target requires strategic integration of hydrogen into the national energy system. This study evaluates the system-wide impacts of hydrogen blending (0–100%) using a bi-level optimisation framework that combines long-term cooperative investment planning with short-term operational Optimal Power and Gas Flow (OPGF) simulation. The strategic layer models infrastructure investment decisions under a cooperative game-theoretic structure, where system value is allocated among electricity, hydrogen production, and storage technologies using the Shapley-value payoff mechanism. Contrary to traditional centralised cost-minimisation models, our findings demonstrate that a cooperative planning structure identifies superior transition pathways. Comparative results reveal that at 100% hydrogen penetration, the cooperative framework reduces total system CO2 emissions by 31%, lowers operational costs by 26%, and decreases total electricity supply requirements by 8% relative to centralised planning. Furthermore, the cooperative approach significantly enhances economic resilience, yielding a more robust Net Present Value (NPV) across all blending levels compared to centralised planning, while ensuring project profitability at lower blending thresholds (20%) where traditional models remain loss-making. Simulation results indicate that hydrogen blending up to 20% maintains operational stability with manageable increases in operational cost. Full hydrogen conversion (100%) increases peak electricity supply requirements by approximately 30% relative to low-blending scenarios due to electrolysis-driven load expansion and conversion losses. The findings demonstrate that hydrogen blending represents a viable transitional pathway when supported by integrated infrastructure development and cooperative stakeholder coordination, enabling a more efficient and economically sustainable phased progression towards Great Britain’s 2050 net-zero target.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19092018first seen 2026-05-15 17:10:01
- semanticscholar https://doi.org/10.3390/en19092018first seen 2026-05-15 17:56:13
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