Skip to main content

ORIGINAL RESEARCH article

Front. Sustain. Cities
Sec. Smart Technologies and Cities
Volume 6 - 2024 | doi: 10.3389/frsc.2024.1425894
This article is part of the Research Topic Emerging Low-carbon Solutions for Sustainable Smart Buildings and Cities View all articles

Low-carbon optimal scheduling of integrated energy systems considering improved carbon trading mechanisms and carbon capture systems

Provisionally accepted
Yanhong Xiao Yanhong Xiao 1Jianlin Tang Jianlin Tang 2*Houpeng Hu Houpeng Hu 1Weibin Lin Weibin Lin 2Jiaxiang Ou Jiaxiang Ou 1Xiaoming Lin Xiaoming Lin 2Zerui Chen Zerui Chen 1Mi Zhou Mi Zhou 2
  • 1 Guizhou Power Grid Co., Ltd, Guiyang, Guizhou Province, China
  • 2 CSG Electric Power Research Institute Co., Ltd, Guangzhou, China

The final, formatted version of the article will be published soon.

    In the integrated energy system, if only a carbon trading mechanism is used, the carbon reduction effect decreases in high carbon emissions; if only a carbon capture system is used, the economy is poor. This paper establishes an optimal scheduling model of integrated energy systems considering the improved carbon trading mechanisms and carbon capture systems. With the objective function of minimizing the cost of energy purchase, carbon trading cost, operation & maintenance costs, and wind abandonment cost, an optimal scheduling strategy for the integrated energy system considering the improved carbon trading mechanism and carbon capture system is proposed. The strategy's economic efficiency and carbon emission reduction effect are analyzed from the perspectives of operation cost and carbon emission. The results show that the simultaneous adoption of the improved carbon trading mechanism and carbon capture technology can reduce the total system cost by 11.65% while reducing 2197.05 kg of carbon emissions. Therefore, the simultaneous consideration of improved carbon trading mechanism and carbon capture system has a good economy and low carbon.

    Keywords: Integrated energy system, Low Carbon Optimized Dispatch, carbon emission, Carbon trading, Carbon Capture

    Received: 30 Apr 2024; Accepted: 11 Jun 2024.

    Copyright: © 2024 Xiao, Tang, Hu, Lin, Ou, Lin, Chen and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jianlin Tang, CSG Electric Power Research Institute Co., Ltd, Guangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.