Performance assessment of two compressed and liquid carbon dioxide energy storage systems: Thermodynamic, exergoeconomic analysis and multi-objective optimization

被引:31
|
作者
Sun, Lei [1 ]
Tang, Bo [1 ]
Xie, Yonghui [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Energy & Power Engn, State Key Lab Strength & Vibrat Mech Struct, Xian 710049, Shaanxi, Peoples R China
关键词
Compressed and liquid carbon dioxide; energy storage systems; Thermodynamic and exergoeconomic; analyses; Parametric analysis; Multi-objective optimization; MULTI OBJECTIVE OPTIMIZATION; WASTE HEAT-RECOVERY; THERMOECONOMIC ANALYSIS; POWER CYCLE; CO2; AIR; EXERGY; GAS; ALGORITHM; DRIVEN;
D O I
10.1016/j.energy.2022.124648
中图分类号
O414.1 [热力学];
学科分类号
摘要
Nowadays, large-scale energy storage systems (EES) are a crucial mechanism to realize large-scale gridconnected power generation from renewable energy. And the development of co-generation systems coupled with EES has encouraging economic potential. In this paper, two compressed and liquid carbon dioxide energy storage systems without extra heat/cold sources are proposed (denoted as LCES-E and LCES-EC). The system's principles are presented; the thermodynamic and exergoeconomic analyses models are developed; the effects of five primary parameters are obtained by parametric analysis; meanwhile, the potential of the systems is revealed by multi-objective optimization. The results show that both systems can provide stable electricity and cold simultaneously. The better cooling capacity makes LCES-EC superior, with the RTE, EVR and cptot reaching 78.66%, 12.69 kWh/m(3) and 41.23 $/GJ. The compressor and turbine exergy destruction and cost exceed 55% of all components, and appropriately high levels of eta(C) and eta(T) are preferred for both efficiency and economy. The LCES-EC system guarantees both electrical efficiency and cold capacity, showing preferable features over previously reported systems. (c) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Thermodynamic analysis of a novel isothermal compressed carbon dioxide energy storage system
    Lu, Lechen
    Wang, Ke
    He, Qing
    JOURNAL OF ENERGY STORAGE, 2023, 61
  • [22] Performance Analysis and Multi-objective Optimization of Brayton Cycle Pumped Thermal Energy Storage
    Yang H.
    Du X.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (01): : 196 - 210
  • [23] Multi-objective optimization of hybrid energy storage and assessment indices in microgrid
    Tan, Xingguo, 2014, Automation of Electric Power Systems Press
  • [24] Advanced exergy and exergoeconomic analysis of a novel liquid carbon dioxide energy storage system
    Liu, Zhan
    Liu, Zihui
    Yang, Xuqing
    Zhai, Hongyan
    Yang, Xiaohu
    ENERGY CONVERSION AND MANAGEMENT, 2020, 205
  • [25] Process improvements and multi-objective optimization of compressed air energy storage (CAES) system
    Yu, Haoshui
    Engelkemier, Seiji
    Gencer, Emre
    JOURNAL OF CLEANER PRODUCTION, 2022, 335
  • [26] Techno-economic assessment on a multi-stage compressed carbon dioxide energy storage system with liquid storage
    Ma, Haoyuan
    Liu, Zhan
    ENERGY REPORTS, 2022, 8 : 11740 - 11750
  • [27] Multi-objective optimization of hybrid energy storage systems under uncertainty
    Wang, Guangxuan
    Verleysen, Kevin
    De Meulenaere, Roeland
    Blondeau, Julien
    JOURNAL OF ENERGY STORAGE, 2025, 111
  • [28] Multi-objective optimization of a novel combined cooling, heating and power solar thermal energy storage system: A comprehensive analysis of energy, exergy, exergoeconomic, and exergoenvironmental performance
    Shan, Chuanyun
    Wang, Jiangfeng
    Cao, Yi
    Li, Hang
    ENERGY, 2025, 316
  • [29] Thermodynamic analysis and optimization of a compressed carbon dioxide energy storage system coupled with a combined heating and power unit
    He, Tianyu
    Cao, Yue
    Si, Fengqi
    ENERGY CONVERSION AND MANAGEMENT, 2023, 277
  • [30] Multi-objective optimal allocation and performance evaluation for energy storage in energy systems
    Kong, Xue
    Wang, Hongye
    Li, Nan
    Mu, Hailin
    ENERGY, 2022, 253