Multi-objective optimization of two-stage thermo-electric cooler using differential evolution: MO optimization of TEC using DE

Khanh, D.V.K. and Vasant, P.M. and Elamvazuthi, I. and Dieu, V.N. (2015) Multi-objective optimization of two-stage thermo-electric cooler using differential evolution: MO optimization of TEC using DE. IGI Global, pp. 139-169.

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Abstract

In this chapter, the technical issues of two-stage TEC were discussed. After that, a new method of optimizing the dimension of TECs using differential evolution to maximize the cooling rate and coefficient of performance was proposed. A input current to hot side and cold side of and the number ratio between the hot stage and cold stage are searched the optima solutions. Thermal resistance is taken into consideration. The results of optimization obtained by using differential evolution were validated by comparing with those obtained by using genetic algorithm and show better performance in terms of stability, computational efficiency, robustness. This work revealed that differential evolution more stable than genetic algorithm and the Pareto front obtained from multi-objective optimization balances the important role between cooling rate and coefficient of performance. © 2016 by IGI Global. All rights reserved.

Item Type: Book
Impact Factor: cited By 1
Uncontrolled Keywords: Computational efficiency; Cooling; Evolutionary algorithms; Genetic algorithms; Multiobjective optimization; Thermoelectricity, Coefficient of Performance; Cold side; Cooling rates; Differential Evolution; Hot stage; Input current; Pareto front; Thermoelectric cooler, Optimization
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 26 Mar 2022 03:21
Last Modified: 26 Mar 2022 03:21
URI: http://scholars.utp.edu.my/id/eprint/31537

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