Low Carbon Optimization Strategy for Carbon Responsibility Allocation of Integrated Energy System Based on Shapley Value

This study addresses the growing concern of carbon emissions in the energy sector under the dual-carbon target. It aims to raise users' energy-saving awareness and reduce carbon emissions by proposing a rational carbon responsibility allocation mechanism. The paper introduces an integrated demand response strategy to optimize load structure, considering the increase in regional flexible loads. Utilizing the Shapley value for revenue allocation, a new carbon responsibility allocation method is developed, sharing the responsibility between energy suppliers and users. This approach integrates user demand response and coupled device losses in the energy conversion process. Experimental simulations validate the method's effectiveness in enhancing energy system efficiency and promoting low-carbon technology innovation and application, providing new insights for sustainable energy industry development.

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Published
2025-03-28
DOI
https://doi.org/10.1109/aeees64634.2025.11019206
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Low Carbon Optimization Strategy for Carbon Responsibility Allocation of Integrated Energy System Based on Shapley Value

Fengjie Chen, Dongdong Zhang, Jiaojiao Li, Pengcheng Du
Integrated Energy Systems Optimization
article

Low Carbon Optimization Strategy for Carbon Responsibility Allocation of Integrated Energy System Based on Shapley Value

Fengjie Chen, Dongdong Zhang, Jiaojiao Li, Pengcheng Du
article en

Abstract

This study addresses the growing concern of carbon emissions in the energy sector under the dual-carbon target. It aims to raise users' energy-saving awareness and reduce carbon emissions by proposing a rational carbon responsibility allocation mechanism. The paper introduces an integrated demand response strategy to optimize load structure, considering the increase in regional flexible loads. Utilizing the Shapley value for revenue allocation, a new carbon responsibility allocation method is developed, sharing the responsibility between energy suppliers and users. This approach integrates user demand response and coupled device losses in the energy conversion process. Experimental simulations validate the method's effectiveness in enhancing energy system efficiency and promoting low-carbon technology innovation and application, providing new insights for sustainable energy industry development.

Guangxi University (CN), Inner Mongolia University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 89%
Integrated Energy Systems Optimization
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Low Carbon Optimization Strategy for Carbon Responsibility Allocation of Integrated Energy System Based on Shapley Value — Fengjie Chen, Dongdong Zhang, et al. · (2025) | TGRS Research Map | TGRS