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Article type: Research Article
Authors: Si, Shuqian | Dou, Zhenhai | Wang, Zichen | Dong, Jun
Affiliations: Shandong University of Technology, College of Electrical and Electronic Engineering, Zibo, Shandong, China
Correspondence: [*] Corresponding author: Shuqian Si, Shandong University of Technology, College of Electrical and Electronic Engineering, Zibo 255000, Shandong, China. E-mail: SDUT_SSQ@163.com.
Abstract: CCHPs (Combined Cooling, Heating, and Power Systems) are capable of providing cold energy, heat, and electricity to users, allowing cascading utilization of energy and improving energy efficiency. The imbalance between cooling, heating, and electrical energy makes it difficult to accurately evaluate the performance of a CCHP system. Existing indices for evaluating the performance of the CCHP system do not account for the influence of time-sharing tariffs; therefore, the quantitative index of time-sharing is added and the time-sharing economic exergy efficiency of the radiator is established. Given that the electrical and thermal characteristics of the advanced absolutely hot compressed airheat storage system (AA-CAES) can complement the CCHP system, a model of the CCHP system with AA-CAES is established, which can be used to validate the validity of the quantitative evaluation index of time-sharing. A planetary search algorithm is proposed for solving the CCHP system model to address the multi-parameter solving characteristics of the CCHP system model and the disadvantages of the existing multi-objective optimization algorithms, which are prone to local optimality and poor optimization accuracy. Simulation validation demonstrates that the time-sharing economic exergy efficiency proposed in this paper can more accurately reflect the total energy consumption of the CCHP system than the existing evaluation indices. The performance of the CCHP system can be improved by using AA-CAES as a heat storage device.
Keywords: Combined cooling, heating and power system, advanced absolute hot compressed air heat storage system, integrated energy utilization ratio, time-sharing economic exergy efficiency, planetary search algorithm
DOI: 10.3233/JCM-226745
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 4, pp. 2205-2224, 2023
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