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Optimal Design of a Dual-Pressure Steam Turbine for Rankine Cycle Based on Constructal Theory

Author

Listed:
  • Huijun Feng

    (Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
    College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
    Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China
    School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China)

  • Lingen Chen

    (Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
    Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China
    School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China)

  • Wei Tang

    (College of Power Engineering, Naval University of Engineering, Wuhan 430033, China)

  • Yanlin Ge

    (Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
    Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China
    School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China)

Abstract

A one-dimensional dual-pressure steam turbine (ST) model for the marine Rankine cycle is built in this paper. Based on constructal theory, the optimal design of the dual-pressure ST is performed with a fixed total volume of the high- and low-pressure STs. The total power output (PO) of the dual-pressure ST is maximized. Seventeen parameters, including the dimensionless average diameters (DADs) of the stages, steam inlet angles (SIAs) of the stages, average reaction degrees (ARDs) of the stages, and volume ratio of the high-pressure ST are taken as optimization variables. The optimal structure parameters of the stages are gained. It reveals that the total PO of the dual-pressure ST is increased by 2.59% by optimizing the average diameter of the Curtis stage, and the change in the total PO is not obvious by optimizing the average diameter of the third stage of the low-pressure ST. Both the total PO and the corresponding efficiency of the dual-pressure ST are increased by 10.8% after simultaneously optimizing 17 variables with the help of the Matlab optimization toolbox. The novelty of this paper is introducing constructal theory into turbine performance optimization by varying seventeen structure, thermal and flow parameters, and the result shows that the constructal optimization effect is remarkable. Optimal designs of practical STs can be guided by the optimization results gained in this paper.

Suggested Citation

  • Huijun Feng & Lingen Chen & Wei Tang & Yanlin Ge, 2022. "Optimal Design of a Dual-Pressure Steam Turbine for Rankine Cycle Based on Constructal Theory," Energies, MDPI, vol. 15(13), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4854-:d:854174
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    References listed on IDEAS

    as
    1. Tang, Wei & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Shi, Junchao, 2021. "Constructal design for a boiler economizer," Energy, Elsevier, vol. 223(C).
    2. Wu, Zhixiang & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Cai, Cunguang, 2019. "Pumping power minimization of an evaporator in ocean thermal energy conversion system based on constructal theory," Energy, Elsevier, vol. 181(C), pages 974-984.
    3. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    4. Richard Symes & Tchable-Nan Djaname & Michael Deligant & Emilie Sauret, 2021. "Design and Optimization of a Radial Inflow Turbine for Use with a Low Temperature ORC," Energies, MDPI, vol. 14(24), pages 1-16, December.
    5. Witanowski, Ł. & Klonowicz, P. & Lampart, P. & Suchocki, T. & Jędrzejewski, Ł. & Zaniewski, D. & Klimaszewski, P., 2020. "Optimization of an axial turbine for a small scale ORC waste heat recovery system," Energy, Elsevier, vol. 205(C).
    6. Feng, Huijun & Xie, Zhuojun & Chen, Lingen & Wu, Zhixiang & Xia, Shaojun, 2020. "Constructal design for supercharged boiler superheater," Energy, Elsevier, vol. 191(C).
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