Carbon-Driven Incentive Mechanism for Renewable Power-to-Ammonia Production in Coupled Carbon and Ammonia Markets
炭素市場とアンモニア市場の連携による再エネ水素アンモニア生産の炭素駆動型インセンティブメカニズム (AI 翻訳)
Yangjun Zeng, Huayan Geng, Yiwei Qiu, Xiuli Sun, Liuchao Xu, Feng Liu, Chen, Shi, Buxiang Zhou, Kaigui Xie
🤖 gxceed AI 要約
日本語
再生可能エネルギー由来のアンモニア(ReP2A)生産の競争力向上のため、炭素市場とアンモニア市場を統合した階層的インセンティブメカニズム(PCIM)を提案。内外二層の取引モデルを均衡問題として定式化し、炭素排出量を12.9%削減しつつ収益減少は1.8%に抑えることを示した。さらに、炭素配分メカニズム(PCAM)により利害関係者の参加意欲を高める。
English
This paper proposes a hierarchical carbon-driven incentive mechanism (PCIM) integrating carbon policy with multi-energy market interactions for renewable power-to-ammonia (ReP2A) production. A two-layer trading framework models competition between ReP2A and gray ammonia in carbon and ammonia markets, solved as a hierarchical equilibrium. Results show a 12.9% reduction in carbon emissions with only a 1.8% decrease in sector-wide revenue, and a carbon allowance allocation mechanism (PCAM) enhances stakeholder participation.
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
日本では水素・アンモニアのサプライチェーン構築が国家戦略として進められており、本論文の炭素市場連動型インセンティブ設計は、国内のアンモニア混焼や水素還元製鉄などの政策と親和性が高い。SSBJ開示やGX経済移行債との関連で、炭素価格メカニズムの設計に示唆を与える。
In the global GX context
Globally, this paper contributes to the design of carbon pricing mechanisms that link renewable hydrogen and ammonia production with carbon markets, relevant for ISSB-aligned disclosure and transition finance. The hierarchical equilibrium approach offers a novel framework for coordinating multi-stakeholder incentives in decarbonized supply chains, with implications for policy design in the EU and other regions.
👥 読者別の含意
🔬研究者:Provides a rigorous equilibrium model for integrating carbon markets with renewable ammonia production, useful for further research on multi-market interactions.
🏢実務担当者:Offers insights into how carbon pricing mechanisms can be structured to improve the business case for renewable ammonia projects, aiding investment decisions.
🏛政策担当者:Highlights the potential of carbon-driven incentives to reduce emissions without significant economic loss, informing carbon market design and clean energy policies.
📄 Abstract(原文)
Renewable power-to-ammonia (ReP2A) production offers a promising pathway to decarbonize the power, transport and, chemical sectors, yet its competitiveness remains limited by high costs and fragmented carbon-policy frameworks. In particular, a unified mechanism that links ReP2A producers with fossil-based gray ammonia (GA) competitors in carbon and ammonia markets, while coordinating incentives among renewable generation, hydrogen production, and ammonia synthesis stakeholders in the ReP2A process chain, is still lacking. To address this gap, this paper proposes a hierarchical carbon-driven incentive mechanism (PCIM) that integrates carbon policy with multi-energy market interactions. A two-layer trading framework is developed, where ReP2A and GA compete in carbon allowance (CA) and ammonia markets (outer layer), while electricity and hydrogen transactions coordinate the ReP2A chain (inner layer). The resulting interactions are modeled as a hierarchical equilibrium, where the inner layer is reformulated as a tractable equivalent optimization problem, and the outer layer is solved as a mixed-integer linear program (MILP) derived from Karush-Kuhn-Tucker conditions. Based on equilibrium analysis, the carbon-related revenue of ReP2A is quantified, and a CA allocation mechanism (PCAM) is proposed to ensure individually rationality among stakeholders. Results show that the proposed mechanism reduces carbon emissions by 12.9% with only a 1.8% decrease in sector-wide revenue. Moreover, carbon pricing under the proposed framework redistributes profits between green and gray ammonia without reducing total welfare, and the PCAM further enhances stakeholders' willingness to participate in ReP2A production.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.48550/arxiv.2604.03728first seen 2026-05-17 06:59:00 · last seen 2026-05-19 05:08:49
- semanticscholar https://doi.org/10.48550/arxiv.2604.03728first seen 2026-06-18 06:05:28 · last seen 2026-08-02 06:14:34
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