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    National Tsing Hua University Institutional Repository > 原子科學院  > 工程與系統科學系 > 會議論文  >  Application of genetic algorithm to maximizing the cooling capacity in a thermoelectric cooling system


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/47013


    Title: Application of genetic algorithm to maximizing the cooling capacity in a thermoelectric cooling system
    Authors: Cheng,Yi-Hsiang;Shih,Chunkuan
    教師: 施純寬
    Date: 2005
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Industrial Technology, 2005. ICIT 2005. IEEE International Conference on, Hong Kong, 14-17 Dec. 2005, Pages 272 - 275
    Keywords: Cooling systems
    Genetic algorithms
    Heat exchangers
    Optimization
    Parameter estimation
    Thermoelectric equipment
    Abstract: Thermoelectric cooling (TEC) system has grown significantly because of the need for a steady, low-temperature operating environment for numerous electronic devices. The cooling capacity of the TEC system should be maximized in considering applications. The TEC system usually consists of a TEC device and an external hot-side heat exchanger. While the heat transfer effect of the hot-side heat exchanger is limit, the optimization of the dimensions of thermoelectric elements could increase the cooling capacity. This study proposed a novel approach of optimizing the dimensions of thermoelectric elements via genetic algorithm (GA), to maximize the cooling capacity. Parameters, including the element length, the element area and the number of elements, were taken as the variables. The results show that GA can determine the optimal dimensions while the heat transfer effect of the hot-side heat exchanger is considered. © 2005 IEEE.
    URI: http://www.ieee.org/
    http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/47013
    Appears in Collections:[工程與系統科學系] 會議論文

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