An Economic Low-Carbon Scheduling Model for Manufacturers in Capacity Bidding Program Considering CCUS

Yang Pu, Yi Chang Li*, Shun Fang, Xueying Wang*, Zhong Jin, Zhiyang Jia

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In line with the Paris Agreement’s global carbon reduction targets, the rise of Carbon Capture, Utilization, and Storage (CCUS) technology offers significant opportunities to mitigate climate change. With the introduction of the Capacity Bidding Program (CBP), addressing the issues of insufficient power load adjustment flexibility and high CO2 emissions in energy-intensive industrial manufacturing during grid emergencies becomes essential. A low-carbon flexible manufacturing dispatch model that incorporates CCUS infrastructure is proposed. Firstly, distributed carbon capture power plants are introduced in industrial parks to reduce industrial enterprises’ dependence on the main grid. Secondly, the model considers the Capacity Bidding Program. Based on this, a low-carbon scheduling model aimed at maximizing the total manufacturer’s profit is constructed. The model includes raw material costs, power costs, carbon costs, and so on, and it can automatically determine the best load curtailment offers for the Capacity Bidding Program. The effectiveness of the proposed method in improving factory profit, maintaining grid stability, and reducing carbon dioxide emissions is verified through a case study of high-capacity lithium battery manufacturing.

源语言英语
主期刊名Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I
编辑Guangqiang Yin, Xiaodong Liu, Jian Su, Yangzhao Yang
出版商Springer Science and Business Media Deutschland GmbH
443-454
页数12
ISBN(印刷版)9789819649624
DOI
出版状态已出版 - 2025
已对外发布
活动14th International Conference on Computer Engineering and Networks, CENet 2024 - Kashi, 中国
期限: 18 10月 202421 10月 2024

出版系列

姓名Lecture Notes in Electrical Engineering
1384 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议14th International Conference on Computer Engineering and Networks, CENet 2024
国家/地区中国
Kashi
时期18/10/2421/10/24

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