Joint value–carbon emission flow modeling of energy systems under the coupled electricity and carbon trading context

Abstract In the context of the gradual maturation of electricity and carbon trading markets, the "value" and "carbon emission" attributes of energy products have received increasing attention. However, traditional analytical methods often treat these two attributes separately, lacking an integrated perspective or modeling method. To fill this gap, this paper proposes a joint value–carbon emission flow modeling method applicable to various energy systems. The method begins by tracing the carbon emissions flow throughout the energy system. It then integrates the carbon trading mechanism to calculate carbon costs and total operational costs. Based on value chain theory, it allocates energy product value based on these costs, thereby determining the value increment at each process within the system, which achieves a joint model of value and carbon emissions flow. The results demonstrate that the proposed carbon emission flow modeling method provides traceability while maintaining a calculation error of only 0.5% compared to traditional methods. Based on this, the proposed value modeling method effectively captures how different shares of renewable energy, participation in carbon trading, and variations in energy product parameters influence the creation and transfer of value within the system. This method provides robust theoretical support for energy product pricing and carbon quota allocation in the face of market fluctuations.

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Publication Details

Journal
Carbon Neutrality
Published
2025-11-28
DOI
https://doi.org/10.1007/s43979-025-00144-9
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint value–carbon emission flow modeling of energy systems under the coupled electricity and carbon trading context

Xiaojie Lin, Liuliu Du, Hong Zhang, B. H. Qu et al.
Carbon Neutrality
Integrated Energy Systems Optimization
article

Joint value–carbon emission flow modeling of energy systems under the coupled electricity and carbon trading context

Xiaojie Lin, Liuliu Du, Hong Zhang, B. H. Qu, Xueru Lin, Wei Zhong, Zheng Luo
article en

Abstract

Abstract In the context of the gradual maturation of electricity and carbon trading markets, the "value" and "carbon emission" attributes of energy products have received increasing attention. However, traditional analytical methods often treat these two attributes separately, lacking an integrated perspective or modeling method. To fill this gap, this paper proposes a joint value–carbon emission flow modeling method applicable to various energy systems. The method begins by tracing the carbon emissions flow throughout the energy system. It then integrates the carbon trading mechanism to calculate carbon costs and total operational costs. Based on value chain theory, it allocates energy product value based on these costs, thereby determining the value increment at each process within the system, which achieves a joint model of value and carbon emissions flow. The results demonstrate that the proposed carbon emission flow modeling method provides traceability while maintaining a calculation error of only 0.5% compared to traditional methods. Based on this, the proposed value modeling method effectively captures how different shares of renewable energy, participation in carbon trading, and variations in energy product parameters influence the creation and transfer of value within the system. This method provides robust theoretical support for energy product pricing and carbon quota allocation in the face of market fluctuations.

Carbon NeutralityVol. 4(1)
North China Electric Power University (CN), Zhejiang Energy Research Institute (CN), Shanghai Advanced Research Institute (CN), Hangzhou Wanxiang Polytechnic (CN), Hangzhou City University, Lappeenranta-Lahti University of Technology (FI), Zhejiang University (CN)
National Natural Science Foundation of China, State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources
Openalex Percentile: Top 63%
Integrated Energy Systems Optimization
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