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Energies 2017, 10(1), 20; doi:10.3390/en10010020

Analysis of the Primary Constraint Conditions of an Efficient Photovoltaic-Thermoelectric Hybrid System

1,* , 2
and
3,*
1
Department of Thermal Science and Energy Engineering, University of Science and Technology of China, 96 Jinzhai Road, Hefei 230026, China
2
State Key Laboratory of Fire Science, University of Science and Technology of China, 96 Jinzhai Road, Hefei 230026, China
3
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Senthilarasu Sundaram and Tapas Mallick
Received: 27 October 2016 / Revised: 13 December 2016 / Accepted: 20 December 2016 / Published: 24 December 2016
View Full-Text   |   Download PDF [5941 KB, uploaded 24 December 2016]   |  

Abstract

Electrical efficiency can be increased by combining photovoltaic (PV) and the thermoelectric (TE) systems. However, a simple and cursory combination is unsuitable because the negative impact of temperature on PV may be greater than its positive impact on TE. This study analyzed the primary constraint conditions based on the hybrid system model consisting of a PV and a TE generator (TEG), which includes TE material with temperature-dependent properties. The influences of the geometric size, solar irradiation and cold side temperature on the hybrid system performance is discussed based on the simulation. Furthermore, the effective range of parameters is demonstrated using the image area method, and the change trend of the area with different parameters illustrates the constraint conditions of an efficient PV-TE hybrid system. These results provide a benchmark for efficient PV-TEG design. View Full-Text
Keywords: PV-TEG; geometric size; electrical efficiency; cold side temperature PV-TEG; geometric size; electrical efficiency; cold side temperature
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Li, G.; Chen, X.; Jin, Y. Analysis of the Primary Constraint Conditions of an Efficient Photovoltaic-Thermoelectric Hybrid System. Energies 2017, 10, 20.

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