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Impact Assessment of a Dynamic Green Certificate and Green Hydrogen Certificate Joint Mechanism on Integrated Energy Systems Based on an Asymmetric Cloud Matter-Element Model

非対称クラウド物元モデルに基づく統合エネルギーシステムへの動的グリーン証明書とグリーン水素証明書の共同メカニズムの影響評価 (AI 翻訳)

Hao Li, Jiahui Wu, Weiqing Wang

Electronics📚 査読済 / ジャーナル2026-05-18#エネルギー転換Origin: CN経営インパクト: コスト削減対象セクター: power
DOI: 10.3390/electronics15102171
原典: https://doi.org/10.3390/electronics15102171

🤖 gxceed AI 要約

日本語

本研究は、統合エネルギーシステム（IES）における風力発電の統合を促進し、炭素排出を削減するため、動的グリーン証明書（GCT）とグリーン水素証明書（GHCT）の共同メカニズムを提案し、その影響を評価する。炭素取引市場を考慮した最適運用モデルを構築し、混合整数線形計画法で解く。さらに、ゲーム理論に基づく重み付けを用いた非対称クラウド物元モデル（ACME）で多面的評価を行う。シミュレーションにより、提案メカニズムが再生可能エネルギーの統合を最大化し、低炭素移行の意思決定に有効であることを示す。

English

This study proposes a dynamic green certificate (GCT) and green hydrogen certificate (GHCT) joint mechanism to enhance wind power integration and reduce carbon emissions in integrated energy systems (IES). An optimal operation model considering carbon trading is formulated and solved via mixed-integer linear programming. A game-theory-based asymmetric cloud matter-element model (ACME) is used for comprehensive evaluation. Simulations show the mechanism maximizes renewable integration and supports low-carbon transition decisions.

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、再生可能エネルギーの固定価格買取制度（FIT）からFIPへの移行や、グリーン水素の導入促進が進んでおり、本研究成果は日本のエネルギーシステムにおける証書取引の設計や評価に示唆を与える。特に、動的な証書価格とクロス補助の仕組みは、日本の再生可能エネルギー統合政策に参考となる。

In the global GX context

Globally, this research contributes to the design of market mechanisms for renewable certificates and green hydrogen, aligning with the EU's renewable energy directives and emerging carbon pricing frameworks. The proposed evaluation model offers a robust tool for policymakers and system operators to assess the impact of certificate trading on energy systems, supporting the transition to low-carbon multi-energy systems.

👥 読者別の含意

🔬研究者:Provides a novel evaluation framework for certificate trading mechanisms in integrated energy systems, useful for further research on market design and optimization.

🏢実務担当者:Offers insights for energy companies and system operators on how to structure green certificate trading to maximize renewable integration and reduce costs.

🏛政策担当者:Informs policy design for renewable certificate and carbon trading mechanisms, highlighting the benefits of joint GCT-GHCT frameworks.

📄 Abstract（原文）

With the increasing penetration of wind power, enhancing the renewable energy accommodation rate and reducing the carbon footprint of the IES, this study proposes a comprehensive evaluation method to assess the impact of a novel dynamic Green Certificate Trading (GCT) and Green Hydrogen Certificate Trading (GHCT) joint mechanism. First, considering the integration of the IES into the carbon trading market, a coupled dynamic GCT-GHCT framework is established. This framework links dynamic green electricity certificate revenues with green hydrogen certificate revenues, leveraging cross-subsidization to incentivize renewable energy consumption. Subsequently, an optimal operation model for the IES is formulated with the objective of minimizing comprehensive costs, which encompass energy procurement, green certificates, carbon trading, and wind curtailment penalties. A piecewise linearization approach is applied to transform the optimization model into a Mixed-Integer Linear Programming problem for efficient solving. Furthermore, based on the dispatch results, a multidimensional evaluation index system is constructed, extracting key indicators from economic, technical, and environmental perspectives. To ensure the rationality of the evaluation, a dynamic reward–penalty asymmetric cloud matter-element (ACME) comprehensive evaluation method based on game theory combinatorial weighting is introduced to calculate the index weights and the final comprehensive evaluation value. Finally, multi-scenario simulations are conducted to verify the superiority of the integrated GCT-GHCT trading framework. The results reveal that the proposed approach not only maximizes renewable energy integration but also provides a robust decision-making tool for the low-carbon transition of multi-energy systems.

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