Optimal Design of the Heat Spreader Applied Thermoelectric Module for Waste Heat Recovery

2012 ◽  
Vol 14 (1) ◽  
pp. 253-257 ◽  
Author(s):  
Jiin-Yuh Jang ◽  
Ying-Chi Tsai ◽  
You-Cheng Huang
Keyword(s):  
Optimal Design ◽  
Heat Recovery ◽  
Waste Heat Recovery ◽  
Waste Heat ◽  
Thermoelectric Module ◽  
Heat Spreader

Optimal Design of Water Desalination Systems Involving Waste Heat Recovery

2017 ◽  
Vol 56 (7) ◽  
pp. 1834-1847 ◽  
Author(s):  
Ramón González-Bravo ◽  
José María Ponce-Ortega ◽  
Mahmoud M. El-Halwagi
Keyword(s):  
Optimal Design ◽  
Heat Recovery ◽  
Waste Heat Recovery ◽  
Waste Heat ◽  
Water Desalination

scholarly journals Fundamental Performance of Thermoelectric Module for Waste Heat Recovery

2015 ◽  
Vol 50 (4) ◽  
pp. 510-513
Author(s):  
Makoto Uchida ◽  
Ryutaro Fukushima ◽  
Daiichi Aburagi
Keyword(s):  
Heat Recovery ◽  
Waste Heat Recovery ◽  
Waste Heat ◽  
Thermoelectric Module

Feasibility of Thermoelectric Waste Heat Recovery in Large Scale Systems

2008 ◽  
Author(s):  
Jacob LaManna ◽  
David Ortiz ◽  
Mark Livelli ◽  
Samuel Haas ◽  
Chinedu Chikwem ◽  
...  
Keyword(s):  
Heat Recovery ◽  
Waste Heat Recovery ◽  
Large Scale ◽  
Waste Heat ◽  
Thermoelectric Module ◽  
Operating Conditions ◽  
Heat Transfer Analysis ◽  
Electrical Performance ◽  
Design Parameters ◽  
Waste Heat Recovery System

With the growing emphasis on energy efficiency because of environmental, political, and economic reasons and the fact there has been significant advances in thermoelectric materials, there is a renewed interest in using thermoelectrics for waste heat recovery. A mathematical model of a thermoelectric power system is developed from a heat transfer analysis of a waste heat recovery system. The model is validated by altering design parameters of a small prototype thermoelectric system that converts heat into electricity. A heated air stream is produced using an exhaust simulation test stand and provides the waste heat source for the prototype. The prototype is designed to be able to change several system parameters such as different heat sinks, thermoelectric module counts, and module configurations to better validate the developed model. The model does predict the electrical performance with typical accuracy of 30% error from the prototype over a range of configurations and operating conditions. A feasibility study using the validated model was used to determine under what conditions this technology will become economically viable, such as remote power generation with 20 year payback.

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