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Performance Analysis and Optimization of Compressed Air Energy Storage Integrated with Latent Thermal Energy Storage

Author

Listed:
  • Xiaoli Yu

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wenbo Dou

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zhiping Zhang

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yan Hong

    (School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK)

  • Gao Qian

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zhi Li

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

Recovering compression waste heat using latent thermal energy storage (LTES) is a promising method to enhance the round-trip efficiency of compressed air energy storage (CAES) systems. In this study, a systematic thermodynamic model coupled with a concentric diffusion heat transfer model of the cylindrical packed-bed LTES is established for a CAES system, and the numerical simulation model is validated by experimental data in the reference. Based on the numerical model, the charging–discharging performance of LTES and CAES systems is evaluated under different layouts of phase change materials (PCMs) in LTES, and the optimal layout of PCM is specified as a three-stage layout, since the exergy efficiency of LTES and round-trip efficiency are improved by 8.2% and 6.9% compared with a one-stage layout. Then, the proportion of three PCMs is optimized using response surface methods. The optimization results indicate that the exergy efficiency of LTES and round-trip efficiency of the CAES system are expected to be 80.9% and 73.3% under the PCM proportion of 0.48:0.3:0.22 for three stages, which are 7.0% and 13.1% higher than the original three-stage PCMs with equal proportions.

Suggested Citation

  • Xiaoli Yu & Wenbo Dou & Zhiping Zhang & Yan Hong & Gao Qian & Zhi Li, 2024. "Performance Analysis and Optimization of Compressed Air Energy Storage Integrated with Latent Thermal Energy Storage," Energies, MDPI, vol. 17(11), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2608-:d:1403948
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    References listed on IDEAS

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    1. Ortega-Fernández, Iñigo & Zavattoni, Simone A. & Rodríguez-Aseguinolaza, Javier & D'Aguanno, Bruno & Barbato, Maurizio C., 2017. "Analysis of an integrated packed bed thermal energy storage system for heat recovery in compressed air energy storage technology," Applied Energy, Elsevier, vol. 205(C), pages 280-293.
    2. Li, Zhi & Lu, Yiji & Huang, Rui & Chang, Jinwei & Yu, Xiaonan & Jiang, Ruicheng & Yu, Xiaoli & Roskilly, Anthony Paul, 2021. "Applications and technological challenges for heat recovery, storage and utilisation with latent thermal energy storage," Applied Energy, Elsevier, vol. 283(C).
    3. Peng, Hao & Li, Rui & Ling, Xiang & Dong, Huihua, 2015. "Modeling on heat storage performance of compressed air in a packed bed system," Applied Energy, Elsevier, vol. 160(C), pages 1-9.
    4. 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).
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