scholarly journals A Study on Control of Heat Generation in Computer using Thermoelectric Cooling System

2015 ◽  
Vol 16 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Yool-Kwon Oh ◽  
Ho-Dong Yang
Keyword(s):  
Heat Generation ◽  
Cooling System ◽  
Thermoelectric Cooling

scholarly journals Development of a Thermoelectric Cooling System for a High Efficiency BIPV Module

2010 ◽  
Vol 10 (2) ◽  
pp. 187-193 ◽  
Author(s):  
Jung-Sik Choi ◽  
Jae-Sub Ko ◽  
Dong-Hwa Chung
Keyword(s):  
High Efficiency ◽  
Cooling System ◽  
Thermoelectric Cooling

Development of thermoelectric cooling system for BIPV module

2009 ◽  
Author(s):  
Jung-Sik Choi ◽  
Jae-Sub Ko ◽  
Sung-Jun Kang ◽  
Mi-Geum Jang ◽  
Jung-Woo Back ◽  
...  
Keyword(s):  
Cooling System ◽  
Thermoelectric Cooling

scholarly journals CFD analysis for predicting cooling time of a domestic refrigerator with thermoelectric cooling system

2021 ◽  
Vol 123 ◽  
pp. 138-149
Author(s):  
Engin Söylemez ◽  
Emre Alpman ◽  
Ayhan Onat ◽  
Selim Hartomacıoğlu
Keyword(s):  
Cooling System ◽  
Cooling Time ◽  
Cfd Analysis ◽  
Thermoelectric Cooling ◽  
Domestic Refrigerator

Numerical Modeling and Design of Thermoelectric Cooling Systems

2011 ◽  
Vol 110-116 ◽  
pp. 2639-2646 ◽  
Author(s):  
Rong Yuan Jou
Keyword(s):  
Numerical Modeling ◽  
Large Range ◽  
Cooling System ◽  
Thermoelectric Module ◽  
Simulated Data ◽  
Good Precision ◽  
Thermoelectric Cooling ◽  
Cooling Systems ◽  
Thermoelectric Coolers ◽  
Internal Parameters

Thermoelectric coolers are often used as reliable energy converters in a large range of applications. For design considerations, it is crucial to establish an effective methodology to determine and optimize the TEC performance within the cooling system constraints. For this purpose, firstly, three approaches are used to obtain the internal parameters of a given thermoelectric module. For these three estimating procedures, the simulated pumping powers are in the sequence of method III < method II < method I for each temperature difference. Hence, good precision of the simulated data are obtained by averaging the results of these three methods. Then, design optimizations of a thermoelectric assembly are conducted to obtain the device parameter, efficiency, and maximum power, respectively. Results show it is simple and effective way for design of a thermoelectric cooling system.

scholarly journals Optimization of Thermoelectric Cooling System for Application in CPU Cooler

2017 ◽  
Vol 105 ◽  
pp. 1644-1650 ◽  
Author(s):  
Yang Cai ◽  
Di Liu ◽  
Jing-Jing Yang ◽  
Yu Wang ◽  
Fu-Yun Zhao
Keyword(s):  
Cooling System ◽  
Thermoelectric Cooling

Transient Thermal Behavior of Annular Thermoelectric Cooling System

2016 ◽  
Vol 46 (5) ◽  
pp. 2560-2569 ◽  
Author(s):  
S. Manikandan ◽  
S. C. Kaushik
Keyword(s):  
Thermal Behavior ◽  
Cooling System ◽  
Thermoelectric Cooling ◽  
Transient Thermal

A PIλDμ controller design for peltier-thermoelectric cooling system

2017 ◽  
Author(s):  
P. Kungwalrut ◽  
A. Numsomran ◽  
P. Chaiyasith ◽  
J. Chaoraingern ◽  
V. Tipsuwanporn
Keyword(s):  
Controller Design ◽  
Cooling System ◽  
Thermoelectric Cooling
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