Adaptive Robust Dispatch of Integrated Energy Systems Considering Variable Hydrogen Blending and Tiered Carbon Trading
可変水素混焼と段階的炭素取引を考慮した統合エネルギーシステムの適応ロバスト運用計画 (AI 翻訳)
Chipeng Zhen, Xinglong Feng, Jianxin Lei, Dayi Li, Boyuan Wang, Lingzhi Wang
🤖 gxceed AI 要約
日本語
本論文は、可変水素混焼率（0～20%）と段階的炭素取引を導入した統合エネルギーシステムの適応ロバスト最適運用枠組みを提案する。バイオマス混焼、CCS、P2G技術を統合し、炭素循環を閉じる。シミュレーションにより、風力抑制コストを31万元削減、正味負荷ピーク・バレー差を18.5%低減、最適単位炭素削減コスト0.142円/kWhを実現した。
English
This paper proposes an adaptive robust dispatch framework for integrated energy systems with variable hydrogen blending (0-20%) and tiered carbon trading. It integrates biomass co-firing, CCS, and P2G to close the carbon cycle. Simulation results show reduced wind curtailment costs (0.31 million ¥) and an 18.5% reduction in net load peak-to-valley difference, achieving a carbon reduction cost of 0.142 ¥/kWh. The framework balances economic efficiency and deep decarbonization.
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GX文脈では、可変水素混焼と段階的炭素取引のモデルは、日本の電力系統における再生可能エネルギー統合と水素活用に示唆を与える。ただし、本論文は中国のデータに基づくため、日本への適用には調整が必要。
In the global GX context
Globally, this paper contributes to the literature on integrated energy systems with hydrogen and carbon capture, offering a novel adaptive robust optimization approach. The tiered carbon trading mechanism provides a model for internalizing carbon costs, relevant to global carbon pricing discussions. The variable hydrogen blending model is important for decarbonizing gas turbines, a key technology for flexible power generation.
👥 読者別の含意
🔬研究者:Researchers can build upon the adaptive robust optimization framework for multi-energy systems with hydrogen and carbon trading.
🏢実務担当者:Practitioners in energy system planning can use the dynamic hydrogen blending model to optimize dispatch and reduce emissions.
🏛政策担当者:Policymakers may consider the tiered carbon trading mechanism as a policy tool to incentivize deep decarbonization in integrated energy systems.
📄 Abstract（原文）
To overcome the limitations of static operation modes in traditional cogeneration and the intermittency of renewable energy, this paper proposes a scenario-assisted adaptive robust optimization framework with a dispatch resolution for Integrated Energy Systems (IES). A closed-loop cascading mechanism is established, integrating biomass co-firing, Carbon Capture and Storage (CCS), and Power-to-Gas (P2G) technologies, where captured CO2 reacts with green hydrogen to produce synthetic natural gas, thereby closing the carbon cycle. Specifically, a dynamic model for hydrogen-blending gas turbines is developed, characterizing the thermodynamic performance under variable hydrogen blending ratios (0–20%), which enables the system to adaptively adjust fuel composition in response to real-time fluctuations in wind and solar power. Furthermore, a tiered carbon trading mechanism is introduced to internalize environmental costs and constrain emissions. Simulation results demonstrate that the proposed variable blending strategy effectively mitigates wind curtailment, reducing curtailment costs to 0.31 million ¥, and creates a “double-peak, double-valley” carbon emission profile, reducing the net load peak-to-valley difference by 18.5%. The proposed framework achieves a balance between economic efficiency and deep decarbonization, attaining an optimal unit carbon reduction cost of 0.142 ¥/kWh, demonstrating improved economic and environmental performance of dynamic electro-carbon-hydrogen coupling under variable operating conditions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su18063010first seen 2026-05-15 20:02:40
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