Non-dimensional Multi-objective Performance Optimization of Single Stage Thermoelectric Cooler

被引：0
|
作者：
Nain, P. K. S. [1 ]
Sharma, S. [2 ]
Giri, J. M. [3 ]
机构：
[1] Amity Univ, Dept Mech Engn, Amity Sch Engn & Technol, Sector 125, Noida 201303, India
[2] Noida Inst Engn & Technol, Dept Mech Engn, Noida 201306, India
[3] Skyline Inst Engn & Technol, Dept Mech Engn, Noida 201306, India
来源：
SIMULATED EVOLUTION AND LEARNING | 2010年 / 6457卷
关键词：
TEC; Practical Performance Optimization; Multi-Objective Optimization; NSGA-II; BISMUTH TELLURIDE COMPOUNDS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Thermoelectric devices are indeed device of future as they are green cooling devices. Tough still under research, performance of these devices is main concern to engineers for their suitability for practical use. In the present work, the two main concern i.e. Coefficient of Performance (COP) and Rate of Refrigeration (ROR) of such devices are simultaneously addressed. NSGA-II is used for finding Pareto-optimal solutions under three different settings for ambient conditions. Mathematical model is considered and effect of ambient conditions on optimal performance is also highlighted. The results of optimization are verified by theoretical governing equations for Thermo-Electric Coolers (TEC). It is concluded that Bi-Objective optimization of performance of single stage TEC is possible, relevant and have huge potential for practical use by designers of TEC.
引用
收藏
页码：404 / +
页数：3
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