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Physical modeling and dynamic characteristics of pumped thermal energy storage system

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  • An, Xugang
  • He, Qing
  • Zhang, Qianxu
  • Liu, Ruonan
  • Lu, Chang
  • Du, Dongmei

Abstract

Pumped thermal energy storage (PTES) technology offers numerous advantages as a novel form of physical energy storage. However, there needs to be a more dynamic analysis of PTES systems. This paper proposes a dynamic simulation model of the PTES system using a multi-physics domain modeling method to investigate the dynamic response of key system parameters during the system's start-up and variable operating conditions. Additionally, the impact of equipment parameters on system characteristics was analyzed. Furthermore, a comparative analysis was conducted to assess the variation in system characteristics when considering the different working medium properties. The results show that the system cavity volume should be selected as 5 m3, and the initial pressure of the system during the charge/discharge period should be selected as 2.1 MPa and 3.8 MPa, respectively. The system runs to the design operating conditions during the start-up process in about 1400 s. In the process of variable operation conditions, the power load in the charge/discharge period can be increased or reduced from the rated value by gas filling or venting, and the system characteristics change accordingly. The simulation model and research findings will offer theoretical insights for optimizing the design of the PTES system.

Suggested Citation

  • An, Xugang & He, Qing & Zhang, Qianxu & Liu, Ruonan & Lu, Chang & Du, Dongmei, 2024. "Physical modeling and dynamic characteristics of pumped thermal energy storage system," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223035387
    DOI: 10.1016/j.energy.2023.130144
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    References listed on IDEAS

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    1. Xue, X.J. & Wang, H.N. & Wang, J.H. & Yang, B. & Yan, J. & Zhao, C.Y., 2024. "Experimental and numerical investigation on latent heat/cold stores for advanced pumped-thermal energy storage," Energy, Elsevier, vol. 300(C).
    2. Chen, Qun & Meng, Nan & He, Ke-Lun & Ma, Huan & Gou, Xing, 2024. "Multi-time scale operation optimization of integrated power and thermal system considering load disturbance," Energy, Elsevier, vol. 302(C).

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