Low‐Carbon Scheduling for Multi‐Energy Building Systems With Electricity–Carbon Incentive Compensation

ABSTRACT As a frontier topic in the field of architecture, multi‐energy building systems hold great significance in balancing the relationship among energy, environment and economy, as well as in promoting the green‐ and low‐carbon transformation of the construction industry. This study proposes a low‐carbon scheduling strategy incorporating electricity–carbon incentive compensation. Firstly, a theoretical model of multi‐energy buildings is established, enabling the coordinated regulation of distributed electricity‐cooling–heating energy conversion devices to improve the energy utilisation efficiency and reduce both integrated operational and carbon trading expenses. Meanwhile, a price transmission model of electricity–carbon market is developed by combining a tiered carbon pricing scheme with reward‐penalty attributes and the Chinese certified emissions reduction (CCER) mechanism, thereby facilitating system optimisation and effective control of carbon emissions. Furthermore, a multi‐stakeholder game strategy with electricity–carbon incentive compensation is introduced to stimulate active engagement in energy conservation and carbon emissions reduction across various stakeholders within the system. The simulation results indicate that the proposed theoretical framework has significant advantages in enhancing the economic performance of multi‐energy building systems, curtailing operational expense and expanding carbon market profit, demonstrating the great potential and value for the low‐carbon operation of the system to be applied and widely promoted.

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Publication Details

Journal
Energy internet.
Published
2025-12-01
DOI
https://doi.org/10.1049/ein2.70014
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Low‐Carbon Scheduling for Multi‐Energy Building Systems With Electricity–Carbon Incentive Compensation

Shujun Yao, Hui Hou, Ziyin He, Feng Li et al.
Energy internet.
Integrated Energy Systems Optimization
article

Low‐Carbon Scheduling for Multi‐Energy Building Systems With Electricity–Carbon Incentive Compensation

Shujun Yao, Hui Hou, Ziyin He, Feng Li, Bo Yuan, Peng Xia, Yingxiang Wang, Zhaoyang Dong
article en

Abstract

ABSTRACT As a frontier topic in the field of architecture, multi‐energy building systems hold great significance in balancing the relationship among energy, environment and economy, as well as in promoting the green‐ and low‐carbon transformation of the construction industry. This study proposes a low‐carbon scheduling strategy incorporating electricity–carbon incentive compensation. Firstly, a theoretical model of multi‐energy buildings is established, enabling the coordinated regulation of distributed electricity‐cooling–heating energy conversion devices to improve the energy utilisation efficiency and reduce both integrated operational and carbon trading expenses. Meanwhile, a price transmission model of electricity–carbon market is developed by combining a tiered carbon pricing scheme with reward‐penalty attributes and the Chinese certified emissions reduction (CCER) mechanism, thereby facilitating system optimisation and effective control of carbon emissions. Furthermore, a multi‐stakeholder game strategy with electricity–carbon incentive compensation is introduced to stimulate active engagement in energy conservation and carbon emissions reduction across various stakeholders within the system. The simulation results indicate that the proposed theoretical framework has significant advantages in enhancing the economic performance of multi‐energy building systems, curtailing operational expense and expanding carbon market profit, demonstrating the great potential and value for the low‐carbon operation of the system to be applied and widely promoted.

Energy internet.Vol. 2(4)
City University of Hong Kong (HK), State Grid Corporation of China (China) (CN), Wuhan University of Technology (CN), Energy Research Institute (CN)
Openalex Percentile: Top 59%
Integrated Energy Systems Optimization
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