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Dynamic simulation and optimal design of a combined cold and power system with 10 MW compressed air energy storage and integrated refrigeration

Author

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  • Chen, Wei
  • Qin, Chengliang
  • Ma, Zhe
  • Li, Jian
  • Zhang, Tong
  • Wang, Yazhou
  • Zhang, Xuelin
  • Xue, Xiaodai

Abstract

A combined cold and power system with 10 MW compressed air energy storage and integrated refrigeration (CCR) is proposed. In traditional 10 MW compressed air energy storage (CAES) system, outlet pressure of air tank is throttled to a low pressure by throttling device. In CCR system, the throttling device is replaced by a piston turbine to achieve control of pressure and mass flow. Meanwhile, pressure potential energy of compressed air is converted to mechanical work, which is used to drive refrigeration subsystem. The dynamic mathematic model of proposed CCR system is built up. According to energy and exergy analysis of the whole dynamic process, it is confirmed that the proposed model obeys the first and second laws of thermodynamics. The optimal solution for T23 and γAC are calculated to be 259.6896 K and 1.2335, respectively. The Pareto frontier of multi-objective optimization of energy and exergy efficiencies are conducted. Energy efficiency of proposed CCR system is higher than that of CAES system by at least 32.8 %. The electrical efficiency of proposed CCR system is also higher than that of CAES system. It suggests that the pressure potential energy wasted in the throttle process is well utilized by the piston turbine in CCR system.

Suggested Citation

  • Chen, Wei & Qin, Chengliang & Ma, Zhe & Li, Jian & Zhang, Tong & Wang, Yazhou & Zhang, Xuelin & Xue, Xiaodai, 2024. "Dynamic simulation and optimal design of a combined cold and power system with 10 MW compressed air energy storage and integrated refrigeration," Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:energy:v:310:y:2024:i:c:s0360544224029578
    DOI: 10.1016/j.energy.2024.133182
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    as
    1. He, Xin & Li, ChengChen & Wang, Huanran, 2022. "Thermodynamics analysis of a combined cooling, heating and power system integrating compressed air energy storage and gas-steam combined cycle," Energy, Elsevier, vol. 260(C).
    2. Amiri, Mahshid N. & Håkansson, Anne & Burheim, Odne S. & Lamb, Jacob J., 2024. "Lithium-ion battery digitalization: Combining physics-based models and machine learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    3. Cetegen, Shaylin A. & Gundersen, Truls & Barton, Paul I., 2024. "Evaluating economic feasibility of liquid air energy storage systems in US and European markets," Energy, Elsevier, vol. 300(C).
    4. Dong, Li & Zheng, Danxing & Nie, Nan & Li, Yun, 2012. "Performance prediction of absorption refrigeration cycle based on the measurements of vapor pressure and heat capacity of H2O+[DMIM]DMP system," Applied Energy, Elsevier, vol. 98(C), pages 326-332.
    5. Fu, Hailun & Hua, Qingsong & Shi, Juan & Sun, Li, 2023. "Photothermal-assisted scheme design and thermodynamic analysis of advanced adiabatic compressed air energy storage system," Renewable Energy, Elsevier, vol. 215(C).
    6. Liu, Changchun & Su, Xu & Yin, Zhao & Sheng, Yong & Zhou, Xuezhi & Xu, Yujie & Wang, Xudong & Chen, Haisheng, 2024. "Experimental study on the feasibility of isobaric compressed air energy storage as wind power side energy storage," Applied Energy, Elsevier, vol. 364(C).
    7. Wang, Yue & Wu, Jue & Lin, Nan & Liu, Debo & Liu, Zhiqiang & Lin, Haibo, 2023. "Enabling stable cycling performance with rice husk silica positive additive in lead-acid battery," Energy, Elsevier, vol. 269(C).
    8. Rubasinghe, Osaka & Zhang, Tingze & Zhang, Xinan & Choi, San Shing & Chau, Tat Kei & Chow, Yau & Fernando, Tyrone & Iu, Herbert Ho-Ching, 2023. "Highly accurate peak and valley prediction short-term net load forecasting approach based on decomposition for power systems with high PV penetration," Applied Energy, Elsevier, vol. 333(C).
    9. Ayou, Dereje S. & Bruno, Joan Carles & Coronas, Alberto, 2017. "Integration of a mechanical and thermal compressor booster in combined absorption power and refrigeration cycles," Energy, Elsevier, vol. 135(C), pages 327-341.
    10. Xiao, Feng & Yang, Zhengguang & Wei, Bo, 2024. "Distributed fixed-time cooperative control for flywheel energy storage systems with state-of-energy constraints," Energy, Elsevier, vol. 293(C).
    11. Razmi, Amir Reza & Hanifi, Amir Reza & Shahbakhti, Mahdi, 2023. "Design, thermodynamic, and economic analyses of a green hydrogen storage concept based on solid oxide electrolyzer/fuel cells and heliostat solar field," Renewable Energy, Elsevier, vol. 215(C).
    12. Zhang, Yagang & Pan, Zhiya & Wang, Hui & Wang, Jingchao & Zhao, Zheng & Wang, Fei, 2023. "Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach," Energy, Elsevier, vol. 283(C).
    13. Xiao, Feng & Chen, Wei & Zhang, Bin & Zhang, Tong & Xie, Ningning & Wang, Zhitao & Chen, Hui & Xue, Xiaodai, 2023. "A novel constant power operation mode of constant volume expansion process for AA-CAES: Regulation strategy, dynamic simulation, and comparison," Energy, Elsevier, vol. 284(C).
    14. Chen, Wei & Qin, Haoxuan & Zhu, Qing & Bai, Jianshu & Xie, Ningning & Wang, Yazhou & Zhang, Tong & Xue, Xiaodai, 2024. "Optimal design and performance assessment of a proposed constant power operation mode for the constant volume discharging process of advanced adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 221(C).
    15. Zhang, Zhi & Zhou, Ming & Chen, Yanbo & Li, Gengyin, 2023. "Exploiting the operational flexibility of AA-CAES in energy and reserve optimization scheduling by a linear reserve model," Energy, Elsevier, vol. 263(PE).
    16. Sreeraj, R. & Aadhithiyan, A.K. & Anbarasu, S., 2022. "Comparison, advancement, and performance evaluation of heat exchanger assembly in solid-state hydrogen storage device," Renewable Energy, Elsevier, vol. 198(C), pages 667-678.
    17. Vereide, Kaspar & Pitorac, Livia & Zeringue, Rachel & Kollandsrud, Arne, 2024. "The boosterpump concept for reconstruction of hydropower plants to pumped storage plants," Renewable Energy, Elsevier, vol. 229(C).
    18. Bu, Yuntao & Yu, Hao & Ji, Haoran & Song, Guanyu & Xu, Jing & Li, Juan & Zhao, Jinli & Li, Peng, 2024. "Hybrid data-driven operation method for demand response of community integrated energy systems utilizing virtual and physical energy storage," Applied Energy, Elsevier, vol. 366(C).
    19. Wu, Di & Wang, J.G. & Hu, Bowen & Yang, Sheng-Qi, 2020. "A coupled thermo-hydro-mechanical model for evaluating air leakage from an unlined compressed air energy storage cavern," Renewable Energy, Elsevier, vol. 146(C), pages 907-920.
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