LAPSE:2023.25108
Published Article
LAPSE:2023.25108
Multi-Objective Optimization of an Irreversible Single Resonance Energy-Selective Electron Heat Engine
March 28, 2023
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.
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.
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Keywords
ecological function, efficiency, efficient power, energy selective electron, finite time thermodynamics, power output
Subject
Suggested Citation
He J, Chen L, Ge Y, Shi S, Li F. Multi-Objective Optimization of an Irreversible Single Resonance Energy-Selective Electron Heat Engine. (2023). LAPSE:2023.25108
Author Affiliations
He J: 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
Chen L: 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 [ORCID]
Ge Y: 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
Shi S: 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
Li F: 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
Chen L: 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 [ORCID]
Ge Y: 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
Shi S: 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
Li F: 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
Journal Name
Energies
Volume
15
Issue
16
First Page
5864
Year
2022
Publication Date
2022-08-12
ISSN
1996-1073
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PII: en15165864, Publication Type: Journal Article
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LAPSE:2023.25108
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https://doi.org/10.3390/en15165864
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Mar 28, 2023
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