Numerical Modeling of c-Si PV Modules by Coupling the Semiconductor with the Thermal Conduction, Convection and Radiation Equations

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Vogt, M.R.; Holst, H.; Winter, M.; Brendel, R.; Altermatt, P.P.: Numerical Modeling of c-Si PV Modules by Coupling the Semiconductor with the Thermal Conduction, Convection and Radiation Equations. In: Energy Procedia 77 (2015), S. 215-224. DOI: https://doi.org/10.1016/j.egypro.2015.07.030

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/783

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Sum total of downloads: 621




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Abstract: 
Commonly, the thermal behavior of solar cell modules is calculated with analytical approaches using non wavelength-dependent optical data. Here, we employ ray tracing of entire solar modules at wavelengths of 300-2500 nm to calculate heat sources. Subsequently, finite element method (FEM) simulations are used to solve the semiconductor equations coupled with the thermal conduction, thermal convection, and thermal radiation equations. The implemented model is validated with measurements from an outdoor test over the period of an entire year. Our ray tracing analysis of different solar modules under the AM.15G spectrum shows that, for a standard module about 18.9% of the sun's intensity becomes parasitically absorbed. A loss analysis shows that the biggest parasitic heat source is the cell's full-area rear side metallization. We hence propose the use of a SiNx layer as rear side mirror to reduce the parasitic absorption to 11.7%. This change can lead to a 3.2 °C lower module operating temperature, which results in an about 5 W higher electrical power output when considering a typical 260 W module.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 233 37.52%
2 image of flag of Netherlands Netherlands 162 26.09%
3 image of flag of United States United States 77 12.40%
4 image of flag of China China 29 4.67%
5 image of flag of France France 11 1.77%
6 image of flag of Russian Federation Russian Federation 10 1.61%
7 image of flag of United Kingdom United Kingdom 9 1.45%
8 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 7 1.13%
9 image of flag of India India 7 1.13%
10 image of flag of Canada Canada 7 1.13%
    other countries 69 11.11%

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