Study of energy scheduling and optimal cost management of a new structure CCHP system: A case study supplying energy for a chemical enterprise in Jiangsu Province

Ji, Jie; Qin, Jingxin; Ji, Rundong; Huang, Hui; Wang, Fucheng; Nazir, Muhammad Shahzad; Zhou, Mengxiong; Wang, Yaodong

Abstract

A new structure combined cooling, heating and power (CCHP) system integrating green power applying a control strategy based on a improved whale optimization algorithm is proposed in this paper. This paper fully considers the high energy demand and a large amount of waste heat in chemical enterprises. By absorbing chemical waste heating (mainly from chemical wastewater), coupling wind and photovoltaic equipment, adding cooling, heating, and electricity storage equipment, combined with an energy scheduling strategy, and an efficient CCHP energy system for the target enterprise is realized. The improved whale optimization algorithm is used to optimize cost management. The results show that after the optimization scheduling with the improved whale optimization algorithm, the CCHP system meets the energy demand with higher efficiency at a lower cost. In winter and summer, heat pump recycling chemical wastewater provides 15.4%–57.9% and 11.5%–62.9% of the heating load of the heating network. Meanwhile, the lithium bromide refrigerator in the cooling-net equipment provides an average cooling load of 6.25–58.4% and 7.01–16.64%.​ Finally, the improved whale optimization algorithm reduces the total cost by 2.4 % and 2.17 %.

Citation

Ji, J., Qin, J., Ji, R., Huang, H., Wang, F., Nazir, M. S., Zhou, M., & Wang, Y. (2022). Study of energy scheduling and optimal cost management of a new structure CCHP system: A case study supplying energy for a chemical enterprise in Jiangsu Province. Energy Reports, 8, 14499-14515. https://doi.org/10.1016/j.egyr.2022.10.374

• Journal Article Type: Article
• Acceptance Date: Oct 22, 2022
• Online Publication Date: Nov 9, 2022
• Publication Date: 2022
• Deposit Date: Nov 19, 2022
• Publicly Available Date: Jan 30, 2023
• Journal: Energy Reports
• Print ISSN: 2352-4847
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Pages: 14499-14515
• DOI: https://doi.org/10.1016/j.egyr.2022.10.374
• Public URL: https://durham-repository.worktribe.com/output/1185788