Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm

Teaching-learning-based optimization (TLBO) is a recently developed heuristic algorithm based on the natural phenomenon of teaching-learning process. In the present work, a modified version of the TLBO algorithm is introduced and applied for the multi-objective optimization of a two stage thermoelectric cooler (TEC). Two different arrangements of the thermoelectric cooler are considered for the optimization. Maximization of cooling capacity and coefficient of performance of the thermoelectric cooler are considered as the objective functions. An example is presented to demonstrate the effectiveness and accuracy of the proposed algorithm. The results of optimization obtained by using the modified TLBO are validated by comparing with those obtained by using the basic TLBO, genetic algorithm (GA), particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms.

[1]  Tobias Lindström,et al.  Magnesium diboride nanobridges fabricated by electron-beam lithography , 2005 .

[2]  Francisco Herrera,et al.  A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..

[3]  Yi-Hsiang Cheng,et al.  Maximizing the cooling capacity and COP of two-stage thermoelectric coolers through genetic algorithm , 2006 .

[4]  Kim Choon Ng,et al.  Optimization of two-stage thermoelectric coolers with two design configurations , 2002 .

[5]  Jing J. Liang,et al.  Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .

[6]  D. Rowe.  CRC Handbook of Thermoelectrics , 1995 .

[7]  Bihong Lin,et al.  The parametric optimum design of a new combined system of semiconductor thermoelectric devices , 2006 .

[8]  L. Chen,et al.  A novel configuration and performance for a two-stage thermoelectric heat pump system driven by a two-stage thermoelectric generator , 2009 .

[9]  Bihong Lin,et al.  Performance analysis and parametric optimal design of an irreversible multi-couple thermoelectric refrigerator under various operating conditions , 2007 .

[10]  Fengrui Sun,et al.  Performance optimization for two-stage thermoelectric refrigerator system driven by two-stage thermoelectric generator. , 2009 .

[11]  Xiangchun Xuan,et al.  Analyses of the performance and polar characteristics of two-stage thermoelectric coolers , 2002 .

[12]  Fengrui Sun,et al.  Performance optimization for a two-stage thermoelectric heat-pump with internal and external irreversibilities , 2008 .

[13]  Jianlin Yu,et al.  Analysis of optimum configuration of two-stage thermoelectric modules , 2007 .

[14]  Boris Abramzon.  Numerical Optimization of the Thermoelectric Cooling Devices , 2007 .

[15]  Jincan Chen,et al.  Optimum design on the performance parameters of a two-stage combined semiconductor thermoelectric heat pump , 2004 .

[16]  J. T. Wang,et al.  Comparison of the optimal performance of single- and two-stage thermoelectric refrigeration systems , 2002 .

[17]  Fengrui Sun,et al.  Effect of heat transfer on the performance of two-stage semiconductor thermoelectric refrigerators , 2005 .

[18]  Kim Choon Ng,et al.  The maximum temperature difference and polar characteristic of two-stage thermoelectric coolers , 2002 .

[19]  R. Venkata Rao,et al.  Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..

[20]  Wei-Keng Lin,et al.  Geometric optimization of thermoelectric coolers in a confined volume using genetic algorithms , 2005 .