Transient model and parameters matching of a segmented solar thermoelectric system
Solar thermoelectric generators (STEGs) with segmented thermoelectric (TE) materials have higher energy conversion efficiency than traditional STEGs with uniform TE materials. This paper constructs a transient model to investigate the dynamic heat conduction characters of the segmented STEGs. The so...
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| Published in | International journal of green energy Vol. 21; no. 3; pp. 521 - 534 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
19.02.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1543-5075 1543-5083 1543-5083 |
| DOI | 10.1080/15435075.2023.2200438 |
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| Abstract | Solar thermoelectric generators (STEGs) with segmented thermoelectric (TE) materials have higher energy conversion efficiency than traditional STEGs with uniform TE materials. This paper constructs a transient model to investigate the dynamic heat conduction characters of the segmented STEGs. The solutions of temperature field and energy conversion efficiency are obtained. The parameters matching problem of segmented TE materials is also studied based on the developed transient model. Numerical results show that there exists an optimum parameter matching at which the efficiency could attain its local maximum value. In addition, tuning and matching segmented TE material parameters could enhance the efficiency and might increase thermal stress simultaneously. Therefore, in this paper, an optimization purpose function is defined to analyze the effect of parameters matching on both performance and structural safety. Neural network (NN) is also used to find segmented STEGs with high efficiency and low thermal stress. This work may offer useful information for the optimal design of real segmented STEGs and promote their practical applications. |
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| AbstractList | Solar thermoelectric generators (STEGs) with segmented thermoelectric (TE) materials have higher energy conversion efficiency than traditional STEGs with uniform TE materials. This paper constructs a transient model to investigate the dynamic heat conduction characters of the segmented STEGs. The solutions of temperature field and energy conversion efficiency are obtained. The parameters matching problem of segmented TE materials is also studied based on the developed transient model. Numerical results show that there exists an optimum parameter matching at which the efficiency could attain its local maximum value. In addition, tuning and matching segmented TE material parameters could enhance the efficiency and might increase thermal stress simultaneously. Therefore, in this paper, an optimization purpose function is defined to analyze the effect of parameters matching on both performance and structural safety. Neural network (NN) is also used to find segmented STEGs with high efficiency and low thermal stress. This work may offer useful information for the optimal design of real segmented STEGs and promote their practical applications. |
| Author | Liu, Y. Wang, K.F. Yang, J. Wang, B. |
| Author_xml | – sequence: 1 givenname: Y. surname: Liu fullname: Liu, Y. organization: Shanghai Dianji University – sequence: 2 givenname: B. surname: Wang fullname: Wang, B. email: b.wang@westernsydney.edu.au organization: Western Sydney University – sequence: 3 givenname: K.F. orcidid: 0000-0001-6396-6054 surname: Wang fullname: Wang, K.F. organization: Harbin Institute of Technology – sequence: 4 givenname: J. orcidid: 0000-0001-8894-8872 surname: Yang fullname: Yang, J. organization: Shanghai Dianji University |
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| SubjectTerms | energy conversion energy conversion efficiency heat transfer parameters matching renewable energy sources segmented thermoelectric generator Solar energy temperature thermal stress transient heat conduction |
| Title | Transient model and parameters matching of a segmented solar thermoelectric system |
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