Optimization of segmented thermoelectric power generators from waste heat while considering the influence of temperature on materials

Author:

Cao Wensheng12345,Wang Baolin1,Xu Jianzhuang1,Lei Jie1,Huang Meiying1,Zhang Ruifang6,Bluth Christoph7

Affiliation:

1. College of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen, Fujian, China

2. Fujian Province Key Lab of Energy Cleaning Utilization and Development, Jimei University, Xiamen, Fujian, China

3. Cleaning Combustion and Energy Utilization Research Center of Fujian Province, Jimei University, Xiamen, Fujian, China

4. Marine Platform Support System Fujian University Engineering Research Center, Jimei University, Xiamen, Fujian, China

5. Fujian Province University Key Laboratory of Ocean Renewable Energy Equipment, Jimei University, Xiamen, Fujian, China

6. College of Marine Engineering, Jimei University, Xiamen, Fujian, China

7. University of Bradford, West Yorkshire, Bradford, UK

Abstract

Thermoelectric technology is commonly used in waste heat utilization of automotive internal combustion engines and widely combined with solar energy units to form solar thermoelectric generator systems. The structure of the Thermoelectric Generator (TEG) needs to be optimized in order to obtain better performance for wider applications. In this paper, the influence of temperature on the height of PN-type thermoelectric arms was analyzed using an improved one-dimensional heat conduction model with the calculus method. At the same time, both the calculation formula of the maximum output power and the calculation formula of various size parameters of the TEG was derived when the influence of temperature on the performance of thermoelectric materials has been considered. In addition, the relationships among different size parameters were derived to obtain the maximum efficiency. The relationships include the most commonly used classical optimization relationship, that is, when the Seebeck coefficient, thermal conductivity and resistivity are averaged, the relationship is consistent with the classical optimization relationship. By considering the impact of temperature on the performance of thermoelectric materials, an improved calculation formula of the figure of merit (Z) was also given. The new optimization formula was compared with the classical optimization method by taking the maximum output power as the optimization index. In the case study, the temperatures of the cold end and the hot end were set at 330 K and 700 K, respectively. PbTe and PbSe were used as the materials with intermediate temperature, and Bi2Te3 was used as the material with low temperature. Through theoretical analysis, it is found that the maximum output power of the new optimization formula can be higher than that of the classical optimization formula.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

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