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Performance optimization of diffusive mass transfer law irreversible isothermal chemical pump

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  • Chen, Lingen
  • Shi, Shuangshuang
  • Ge, Yanlin
  • Feng, Huijun

Abstract

Performance optimization of generalized irreversible isothermal chemical pump (GICP) cycle with two-mass-reservoirs is performed. Three types of losses, that is, irreversible mass-transfer (IMT) between reservoir and working medium, internal dissipation (ID) inside working medium, and mass-leakage (ML) between reservoirs are included in GICP cycle. Diffusive mass transfer law (MTL) is assumed in IMT and ML processes. Performance relationship between rate of energy pumping (REP) and coefficient of performance (COP) is obtained using numerical examples, and it includes special examples with different loss items, which are derived analytically. The COP versus REP characteristic behaves a parabolic-like cure, that is, COP has maxima at an optimal REP. The COP and REP of GICP with diffusive MTL are compared with those with linear MTL. The effects of chemical potential ratio of mass-reservoirs, IMT, ML and ID on the COP versus REP characteristics are also shown. Maximum COP and the corresponding REP with diffusive MTL are smaller than those with linear one. COP increases monotonically as REP decreases when ML can be ignored. If ML is considered, COP versus REP characteristic behaves parabolic-like one whether ID is ignored or not. Optimal performances are affected by ML qualitatively and by ID quantitatively.

Suggested Citation

  • Chen, Lingen & Shi, Shuangshuang & Ge, Yanlin & Feng, Huijun, 2023. "Performance optimization of diffusive mass transfer law irreversible isothermal chemical pump," Energy, Elsevier, vol. 263(PC).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222028420
    DOI: 10.1016/j.energy.2022.125956
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    References listed on IDEAS

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    1. Lin, Guoxing & Chen, Jincan, 2001. "Optimal analysis on the cyclic performance of a class of chemical pumps," Applied Energy, Elsevier, vol. 70(1), pages 35-47, September.
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    3. Xu, Haoran & Chen, Lingen & Ge, Yanlin & Feng, Huijun, 2022. "Multi-objective optimization of Stirling heat engine with various heat and mechanical losses," Energy, Elsevier, vol. 256(C).
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    6. Chen, Lingen & Xia, Shaojun, 2022. "Maximizing power output of endoreversible non-isothermal chemical engine via linear irreversible thermodynamics," Energy, Elsevier, vol. 255(C).
    7. Chen, Lingen & Xia, Shaojun, 2022. "Maximizing power of irreversible multistage chemical engine with linear mass transfer law using HJB theory," Energy, Elsevier, vol. 261(PB).
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    9. Chen, Lingen & Yang, Bo & Feng, Huijun & Ge, Yanlin & Xia, Shaojun, 2020. "Performance optimization of an open simple-cycle gas turbine combined cooling, heating and power plant driven by basic oxygen furnace gas in China's steelmaking plants," Energy, Elsevier, vol. 203(C).
    10. Chen, Lingen & Qi, Congzheng & Ge, Yanlin & Feng, Huijun, 2022. "Thermal Brownian heat engine with external and internal irreversibilities," Energy, Elsevier, vol. 255(C).
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    Cited by:

    1. 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).
    2. Chen, Lingen & Shi, Shuangshuang & Ge, Yanlin & Feng, Huijun, 2023. "Power density performances and multi-objective optimizations for an irreversible Otto cycle with five specific heat models of working fluid," Energy, Elsevier, vol. 282(C).
    3. 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).
    4. Chen, Lingen & Shi, Shuangshuang & Ge, Yanlin & Feng, Huijun, 2023. "Ecological function performance analysis and multi-objective optimization for an endoreversible four-reservoir chemical pump," Energy, Elsevier, vol. 282(C).

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