TY - GEN
T1 - An Economic Low-Carbon Scheduling Model for Manufacturers in Capacity Bidding Program Considering CCUS
AU - Pu, Yang
AU - Li, Yi Chang
AU - Fang, Shun
AU - Wang, Xueying
AU - Jin, Zhong
AU - Jia, Zhiyang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Capacity Bidding Program
KW - CCUS
KW - Low-Carbon Electricity Response
KW - Low-Carbon Manufacturing
KW - Resilient Manufacturing
UR - http://www.scopus.com/inward/record.url?scp=105005570795&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-4963-1_40
DO - 10.1007/978-981-96-4963-1_40
M3 - Conference contribution
AN - SCOPUS:105005570795
SN - 9789819649624
T3 - Lecture Notes in Electrical Engineering
SP - 443
EP - 454
BT - Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I
A2 - Yin, Guangqiang
A2 - Liu, Xiaodong
A2 - Su, Jian
A2 - Yang, Yangzhao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Computer Engineering and Networks, CENet 2024
Y2 - 18 October 2024 through 21 October 2024
ER -
