A Novel Application of Gzenetic Algorithms to Optimizing Two-Stage Thermoelectric Coolers

Author

Cheng, Yi-Hsiang ; Shih, Chunkuan

Author_Institution

Dept. of Eng. & Syst. Sci., National TsingHua Univ., Hsinchu

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3704

Lastpage

3708

Abstract

This study presents a new approach using genetic algorithms (GAs) to optimize the arrangement of two-stage thermoelectric coolers (TECs). Focusing on the two-cascade TECs, parameters, the applied electrical current and the number of thermocouples in each stage, were optimized to yield the maximum cooling capacity and the maximum coefficient of performance (COP). Based on the target cold-side temperature, the optimal arrangement of each type of two-stage TECs was found and the maximum cooling capacity and the maximum COP were thus reached

Keywords

cooling; genetic algorithms; thermoelectric devices; electrical current; genetic algorithm; maximum coefficient of performance; maximum cooling capacity; optimization; thermocouples; two-stage thermoelectric coolers; Electronics cooling; Genetic algorithms; Genetic engineering; Heat transfer; Optoelectronic devices; Space exploration; Systems engineering and theory; Temperature; Thermoelectric devices; Thermoelectricity; Genetic algorithms; Maximum COP; Maximum cooling capacity; Optimization; Two-stage thermoelectric coolers;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713062

Filename

1713062