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Dynamic Simulation of a CPV/T System Using the Finite Element Method

Author

Listed:
  • Carlo Renno

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano (Salerno), Italy)

  • Michele De Giacomo

    (University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano (Salerno), Italy)

Abstract

The aim of this paper is the determination of a concentrating thermo-photovoltaic (CPV/T) system dynamic model by means of the finite element method (FEM). The system consist of triple-junction InGaP/InGaAs/Ge (indium-gallium phosphide/indium-gallium-arsenide/germanium) solar cells connected to a metal core printed circuit board (MCPCB) placed on a coil circuit used for the thermal energy recovery. In particular, the main aim is to determine the fluid outlet temperature. It is evaluated corresponding both to a constant cell temperature equal to 120 °C, generally representing the maximum operating temperature, and to cell temperature values instantly variable with the direct normal irradiation (DNI). Hence, an accurate DNI analysis is realized adopting the Gordon-Reddy statistical model. Using an accurate electric model, the cell temperature and efficiency are determined together with the CPV/T module electric and thermal powers. Generally, the CPV system size is realized according to the user electric load demand and, then, it is important to evaluate the necessary minimum concentration ratio (C min ), the limit of CPV system applicability, in order to determine the energy convenience profile. The fluid outlet temperature can be then obtained by the FEM analysis to verify if a CPV/T system can be used in solar heating and cooling applications.

Suggested Citation

  • Carlo Renno & Michele De Giacomo, 2014. "Dynamic Simulation of a CPV/T System Using the Finite Element Method," Energies, MDPI, vol. 7(11), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:11:p:7395-7414:d:42351
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    References listed on IDEAS

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    1. Zahedi, A., 2011. "Review of modelling details in relation to low-concentration solar concentrating photovoltaic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1609-1614, April.
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    5. Mousazadeh, Hossein & Keyhani, Alireza & Javadi, Arzhang & Mobli, Hossein & Abrinia, Karen & Sharifi, Ahmad, 2009. "A review of principle and sun-tracking methods for maximizing solar systems output," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1800-1818, October.
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    Cited by:

    1. Karolina Papis-Frączek & Krzysztof Sornek, 2022. "A Review on Heat Extraction Devices for CPVT Systems with Active Liquid Cooling," Energies, MDPI, vol. 15(17), pages 1-49, August.
    2. Alejandro Mateos-Canseco & Manuel I. Peña-Cruz & Arturo Díaz-Ponce & Jean-Luc Battaglia & Christophe Pradère & Luis David Patino-Lopez, 2018. "Time-Resolved Temperature Map Prediction of Concentration Photovoltaics Systems by Means of Coupled Ray Tracing Flux Analysis and Thermal Quadrupoles Modelling," Energies, MDPI, vol. 11(8), pages 1-24, August.
    3. Abou-Ziyan, Hosny & Ibrahim, Mohammed & Abdel-Hameed, Hala, 2020. "Performance modeling and analysis of high-concentration multi-junction photovoltaics using advanced hybrid cooling systems," Applied Energy, Elsevier, vol. 269(C).
    4. Carlo Renno, 2018. "Experimental and Theoretical Analysis of a Linear Focus CPV/T System for Cogeneration Purposes," Energies, MDPI, vol. 11(11), pages 1-15, October.
    5. Lamnatou, Chr. & Vaillon, R. & Parola, S. & Chemisana, D., 2021. "Photovoltaic/thermal systems based on concentrating and non-concentrating technologies: Working fluids at low, medium and high temperatures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).

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