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Power and Thermal Efficiency Optimization of an Irreversible Steady-Flow Lenoir Cycle.
Wang, Ruibo; Ge, Yanlin; Chen, Lingen; Feng, Huijun; Wu, Zhixiang.
Afiliação
  • Wang R; Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
  • Ge Y; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
  • Chen L; Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
  • Feng H; School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
  • Wu Z; Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Entropy (Basel) ; 23(4)2021 Apr 02.
Article em En | MEDLINE | ID: mdl-33918144
ABSTRACT
Using finite time thermodynamic theory, an irreversible steady-flow Lenoir cycle model is established, and expressions of power output and thermal efficiency for the model are derived. Through numerical calculations, with the different fixed total heat conductances (UT) of two heat exchangers, the maximum powers (Pmax), the maximum thermal efficiencies (ηmax), and the corresponding optimal heat conductance distribution ratios (uLP(opt)) and (uLη(opt)) are obtained. The effects of the internal irreversibility are analyzed. The results show that, when the heat conductances of the hot- and cold-side heat exchangers are constants, the corresponding power output and thermal efficiency are constant values. When the heat source temperature ratio (τ) and the effectivenesses of the heat exchangers increase, the corresponding power output and thermal efficiency increase. When the heat conductance distributions are the optimal values, the characteristic relationships of P-uL and η-uL are parabolic-like ones. When UT is given, with the increase in τ, the Pmax, ηmax, uLP(opt), and uLη(opt) increase. When τ is given, with the increase in UT, Pmax and ηmax increase, while uLP(opt) and uLη(opt) decrease.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article