Multi-Objective Optimization of an Irreversible Single Resonance Energy-Selective Electron Heat Engine

Jinhu He, Lingen Chen (), Yanlin Ge, Shuangshuang Shi and Fang Li ()
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Jinhu He: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Lingen Chen: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Yanlin Ge: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Shuangshuang Shi: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China
Fang Li: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China

Energies, 2022, vol. 15, issue 16, 1-19

Abstract: Based on the model of irreversible single resonance energy-selective electron heat engine established in the previous literature, this paper applies finite-time thermodynamic theory and NSGA-II algorithm to perform multi-objective optimization. Single-, bi-, tri- and quadru-objective optimizations are performed when the energy boundary and the resonance width are taken as the optimization variables, and the power output, thermal efficiency, efficient power and ecological function are taken as the optimization objectives. The deviation indexes of different optimization objective combinations are obtained by using LINMAP, TOPSIS and Shannon entropy approaches. The results show that the values of energy boundary and resonance width can be reasonably selected according to the design requirements of the system. When power output and efficiency are optimized, the minimal deviation index is obtained by TOPSIS approach and the value is 0.0748, which is the most ideal design scheme.

Keywords: energy selective electron; power output; efficient power; efficiency; ecological function; finite time thermodynamics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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