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Numerical simulation and optimal design of scroll expander applied in a small-scale organic rankine cycle

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  • Feng, Yong-qiang
  • Xu, Jing-wei
  • He, Zhi-xia
  • Hung, Tzu-Chen
  • Shao, Meng
  • Zhang, Fei-yang

Abstract

As an important component in the organic Rankine cycle (ORC), the operation characteristics of the scroll expander directly determine the ORC efficiency. In this study, numerical simulation and optimal design of scroll expander applied in a small-scale organic Rankine cycle are conducted. The expander unsteady flow characteristics using R245fa are examined. The dynamic mesh technology is applied to accurately achieve the eccentric motion of the orbiting scroll. The effects of four key parameters (inlet temperature, inlet pressure, outlet pressure and rotation speed) on the expander output power and isentropic efficiency are discussed. Considering maximum isentropic efficiency and maximum expander output power simultaneously, the optimal solution using response surface methodology (RSM) is yielded. Results indicate that the distribution of velocity and pressure in different working chambers are not completely symmetric, and the expander isentropic efficiency can be significantly improved by changing the boundary conditions. The maximum output power and isentropic efficiency are 2.458 kW and 72.98%, which deviates from the simulated value by 6.51% and 5.12%, respectively.

Suggested Citation

  • Feng, Yong-qiang & Xu, Jing-wei & He, Zhi-xia & Hung, Tzu-Chen & Shao, Meng & Zhang, Fei-yang, 2022. "Numerical simulation and optimal design of scroll expander applied in a small-scale organic rankine cycle," Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:energy:v:260:y:2022:i:c:s0360544222018795
    DOI: 10.1016/j.energy.2022.124981
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    References listed on IDEAS

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    1. Oh, Jinwoo & Jeong, Hoyoung & Kim, Joonbyum & Lee, Hoseong, 2020. "Numerical and experimental investigation on thermal-hydraulic characteristics of a scroll expander for organic Rankine cycle," Applied Energy, Elsevier, vol. 278(C).
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    Cited by:

    1. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Zhang, Jian & Xing, Chengda & Yan, Yinlian & Yang, Anren & Wang, Yan, 2023. "Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment," Applied Energy, Elsevier, vol. 348(C).
    2. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yang, Anren & Yan, Yinlian & Pan, Yachao & Wang, Yan, 2023. "Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment," Energy, Elsevier, vol. 275(C).
    3. Lu, Shengdong & Yang, Xinle & Bu, Shujuan & Li, Weikang & Yu, Ning & Wang, Xin & Dai, Wenzhi & Liu, Xunan, 2024. "Performance and parameter prediction of SCR–ORC system based on data–model fusion and twin data–driven," Energy, Elsevier, vol. 290(C).

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