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Multi-Objective Constructal Optimization for Marine Condensers

Author

Listed:
  • Huijun Feng

    (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)

  • 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)

  • Junchao Shi

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

  • Zhixiang Wu

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

Abstract

A marine condenser with exhausted steam as the working fluid is researched in this paper. Constructal designs of the condenser are numerically conducted based on single and multi-objective optimizations, respectively. In the single objective optimization, there is an optimal dimensionless tube diameter leading to the minimum total pumping power required by the condenser. After constructal optimization, the total pumping power is decreased by 42.3%. In addition, with the increase in mass flow rate of the steam and heat transfer area and the decrease in total heat transfer rate, the minimum total pumping power required by the condenser decreases. In the multi-objective optimization, the Pareto optimal set of the entropy generation rate and total pumping power is gained. The optimal results gained by three decision methods in the Pareto optimal set and single objective optimizations are compared by the deviation index. The optimal construct gained by the TOPSIS decision method corresponding to the smallest deviation index is recommended in the optimal design of the condenser. These research ideas can also be used to design other heat transfer devices.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5545-:d:629434
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    References listed on IDEAS

    as
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    Cited by:

    1. 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.
    2. Yang, Wenhao & Feng, Huijun & Chen, Lingen & Ge, Yanlin, 2023. "Power and efficiency optimizations of a simple irreversible supercritical organic Rankine cycle," Energy, Elsevier, vol. 278(C).
    3. Hongwei Zhu & Lingen Chen & Yanlin Ge & Shuangshuang Shi & Huijun Feng, 2022. "Multi-Objective Constructal Design for Square Heat-Generation Body with “Arrow-Shaped” High-Thermal-Conductivity Channel," Energies, MDPI, vol. 15(14), pages 1-15, July.
    4. Li, Zhaojin & Bi, Yuehong & Wang, Cun & Shi, Qi & Mou, Tianhong, 2023. "Finite time thermodynamic optimization for performance of absorption energy storage systems," Energy, Elsevier, vol. 282(C).
    5. Canpolat Tosun, Demet & Açıkkalp, Emin & Altuntas, Onder & Hepbasli, Arif & Palmero-Marrero, Ana I. & Borge-Diez, David, 2023. "Dynamic performance and sustainability assessment of a PV driven Carnot battery," Energy, Elsevier, vol. 278(C).
    6. Mao, Liangjie & Wei, Changjiang & Zeng, Song & Cai, Mingjie, 2023. "Heat transfer mechanism of cold-water pipe in ocean thermal energy conversion system," Energy, Elsevier, vol. 269(C).
    7. Niu, Jintao & Wang, Jiansheng & Liu, Xueling, 2023. "Thermodynamic and economic analysis of organic Rankine cycle combined with flash cycle and ejector," Energy, Elsevier, vol. 282(C).

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