Energy Storage Science and Technology ›› 2021, Vol. 10 ›› Issue (1): 379-384.doi: 10.19799/j.cnki.2095-4239.2020.0273

• Energy Storage System and Engineering • Previous Articles     Next Articles

Analysis and multi-objective optimization of CAES system

Lei HOU1(), Zichi WANG2, Yingchao LI2, Saihao WANG2(), Yajie ZHANG1, Yusen ZHANG1   

  1. 1.State Grid Xiong'an New Area Electric Power Supply Company, Baoding 071000, Hebei, China
    2.Pinggao Group Co. Ltd, Pingdingshan 467000, Henan, China
  • Received:2020-08-18 Revised:2020-09-24 Online:2021-01-05 Published:2021-01-08
  • Contact: Saihao WANG E-mail:705608320@qq.com;15537532056@163.com

Abstract:

To address the problem of mutually restricted thermodynamic and economic performance of CAES systems, both factors were considered in this paper to optimize the system. Thermodynamic and economic models of the system were established and the influence of key node parameters on the system were revealed. A multi-objective optimization analysis with a genetic algorithm was carried out. The studies indicated that the thermodynamics and economics of the system increase with an increase in the expansion ratio and inlet temperature of the turbine. The optimized results indicated that a solution with an exergy efficiency of 55.12% and a unit energy cost of 396.60 $/kW is attainable for the system.

Key words: compressed air energy storage, thermodynamic analysis, economic analysis, multi-objective optimization

CLC Number: