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Maximizing Efficient Power for an Irreversible Porous Medium Cycle with Nonlinear Variation of Working Fluid’s Specific Heat

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  • Pengchao Zang

    (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)

  • 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)

  • 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

Considering the specific heat characteristics of working fluid and existence of various losses in a porous medium (PM) cycle, this paper applies finite time thermodynamic theory to study its efficient power performance with nonlinear variable specific heat model. Range of the cycle pre-expansion ratio is obtained by solving the equation, and PM cycle is converted to Otto cycle by choosing appropriate pre-expansion ratio. Influences of pre-expansion ratio, specific heat characteristics, temperature ratio, and various losses on cycle performances are investigated. Thermal efficiencies are compared at operating points of the maximum power output and efficient power. The results show that PM cycle has better performance than Otto cycle. Under certain conditions of parameters, thermal efficiencies at the maximum efficient power and maximum power output operating points are 50.45% and 47.05%, respectively, and the former is 7.22% higher than the latter. The engine designed with the maximum efficient power as the criterion can improve thermal efficiency by losing less power output. The results of this paper can guide parameters selection of actual PM heat engine.

Suggested Citation

  • Pengchao Zang & Lingen Chen & Yanlin Ge, 2022. "Maximizing Efficient Power for an Irreversible Porous Medium Cycle with Nonlinear Variation of Working Fluid’s Specific Heat," Energies, MDPI, vol. 15(19), pages 1-12, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6946-:d:922247
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    References listed on IDEAS

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    1. Hsin-Yi Lai & Yi-Ting Li & Yen-Hsin Chan, 2021. "Efficiency Enhancement on Hybrid Power System Composed of Irreversible Solid Oxide Fuel Cell and Stirling Engine by Finite Time Thermodynamics," Energies, MDPI, vol. 14(4), pages 1-14, February.
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    6. Jinhu He & Lingen Chen & Yanlin Ge & Shuangshuang Shi & Fang Li, 2022. "Multi-Objective Optimization of an Irreversible Single Resonance Energy-Selective Electron Heat Engine," Energies, MDPI, vol. 15(16), pages 1-19, August.
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    8. Lingen Chen & Kang Ma & Huijun Feng & Yanlin Ge, 2020. "Optimal Configuration of a Gas Expansion Process in a Piston-Type Cylinder with Generalized Convective Heat Transfer Law," Energies, MDPI, vol. 13(12), pages 1-20, June.
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    11. Raphael Paul & Karl Heinz Hoffmann, 2021. "A Class of Reduced-Order Regenerator Models," Energies, MDPI, vol. 14(21), pages 1-25, November.
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    13. Shuangshuang Shi & Yanlin Ge & Lingen Chen & Huijun Feng, 2021. "Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Atkinson Cycle with Nonlinear Variation of Working Fluid’s Specific Heat," Energies, MDPI, vol. 14(14), pages 1-23, July.
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    15. Lingen Chen & Chenqi Tang & Huijun Feng & Yanlin Ge, 2020. "Power, Efficiency, Power Density and Ecological Function Optimization for an Irreversible Modified Closed Variable-Temperature Reservoir Regenerative Brayton Cycle with One Isothermal Heating Process," Energies, MDPI, vol. 13(19), pages 1-23, October.
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