Multi-physics modelling of PV panels

A computational analysis of heat generation

Mehdi Sahli, Joao Pedro De Magalhaes Correia, Said Ahzi, Siham Touchal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this work, a multi-physics model was developed to assess the performance of the photovoltaic (PV) panels. The proposed model combines an optical model with an electrical and thermal model. The optical model was developed based on the theory of Markov's chains to predict the part of light that was converted to electricity. It accounts for the wavelength dependence of optical properties of different material layers. The model is also able to predict the light converted to heat in the module. This last part is needed for thermal modeling of the panel. The electrical model is based on the classical one-diode model. The thermal model was proposed in a previous work and allows us to predict the thermal response of the PV panel throughout its thickness. The proposed multi-physics model was implemented on MATLAB software. Finally, electrical predictions at different operating temperatures are compared with manufacturers' data for two commercial PV panels. The Nominal Operating Cell Temperature (NOCT) was also predicted and compared with manufacturers' data.

Original languageEnglish
Title of host publicationProceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages136-141
Number of pages6
ISBN (Electronic)9781509057139
DOIs
Publication statusPublished - 18 Jul 2017
Event2016 International Renewable and Sustainable Energy Conference, IRSEC 2016 - Marrakech, Morocco
Duration: 14 Nov 201617 Nov 2016

Other

Other2016 International Renewable and Sustainable Energy Conference, IRSEC 2016
CountryMorocco
CityMarrakech
Period14/11/1617/11/16

Fingerprint

Heat generation
Physics
Markov processes
MATLAB
Diodes
Electricity
Optical properties
Hot Temperature
Wavelength
Temperature

Keywords

  • Finite Difference Method
  • Heat Generation
  • Photonic Wavelength
  • Photovoltaic Panel

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

Cite this

Sahli, M., De Magalhaes Correia, J. P., Ahzi, S., & Touchal, S. (2017). Multi-physics modelling of PV panels: A computational analysis of heat generation. In Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016 (pp. 136-141). [7983990] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRSEC.2016.7983990

Multi-physics modelling of PV panels : A computational analysis of heat generation. / Sahli, Mehdi; De Magalhaes Correia, Joao Pedro; Ahzi, Said; Touchal, Siham.

Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 136-141 7983990.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sahli, M, De Magalhaes Correia, JP, Ahzi, S & Touchal, S 2017, Multi-physics modelling of PV panels: A computational analysis of heat generation. in Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016., 7983990, Institute of Electrical and Electronics Engineers Inc., pp. 136-141, 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016, Marrakech, Morocco, 14/11/16. https://doi.org/10.1109/IRSEC.2016.7983990
Sahli M, De Magalhaes Correia JP, Ahzi S, Touchal S. Multi-physics modelling of PV panels: A computational analysis of heat generation. In Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 136-141. 7983990 https://doi.org/10.1109/IRSEC.2016.7983990
Sahli, Mehdi ; De Magalhaes Correia, Joao Pedro ; Ahzi, Said ; Touchal, Siham. / Multi-physics modelling of PV panels : A computational analysis of heat generation. Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 136-141
@inproceedings{385800bf0cc04fe9971acbc60005d093,
title = "Multi-physics modelling of PV panels: A computational analysis of heat generation",
abstract = "In this work, a multi-physics model was developed to assess the performance of the photovoltaic (PV) panels. The proposed model combines an optical model with an electrical and thermal model. The optical model was developed based on the theory of Markov's chains to predict the part of light that was converted to electricity. It accounts for the wavelength dependence of optical properties of different material layers. The model is also able to predict the light converted to heat in the module. This last part is needed for thermal modeling of the panel. The electrical model is based on the classical one-diode model. The thermal model was proposed in a previous work and allows us to predict the thermal response of the PV panel throughout its thickness. The proposed multi-physics model was implemented on MATLAB software. Finally, electrical predictions at different operating temperatures are compared with manufacturers' data for two commercial PV panels. The Nominal Operating Cell Temperature (NOCT) was also predicted and compared with manufacturers' data.",
keywords = "Finite Difference Method, Heat Generation, Photonic Wavelength, Photovoltaic Panel",
author = "Mehdi Sahli and {De Magalhaes Correia}, {Joao Pedro} and Said Ahzi and Siham Touchal",
year = "2017",
month = "7",
day = "18",
doi = "10.1109/IRSEC.2016.7983990",
language = "English",
pages = "136--141",
booktitle = "Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Multi-physics modelling of PV panels

T2 - A computational analysis of heat generation

AU - Sahli, Mehdi

AU - De Magalhaes Correia, Joao Pedro

AU - Ahzi, Said

AU - Touchal, Siham

PY - 2017/7/18

Y1 - 2017/7/18

N2 - In this work, a multi-physics model was developed to assess the performance of the photovoltaic (PV) panels. The proposed model combines an optical model with an electrical and thermal model. The optical model was developed based on the theory of Markov's chains to predict the part of light that was converted to electricity. It accounts for the wavelength dependence of optical properties of different material layers. The model is also able to predict the light converted to heat in the module. This last part is needed for thermal modeling of the panel. The electrical model is based on the classical one-diode model. The thermal model was proposed in a previous work and allows us to predict the thermal response of the PV panel throughout its thickness. The proposed multi-physics model was implemented on MATLAB software. Finally, electrical predictions at different operating temperatures are compared with manufacturers' data for two commercial PV panels. The Nominal Operating Cell Temperature (NOCT) was also predicted and compared with manufacturers' data.

AB - In this work, a multi-physics model was developed to assess the performance of the photovoltaic (PV) panels. The proposed model combines an optical model with an electrical and thermal model. The optical model was developed based on the theory of Markov's chains to predict the part of light that was converted to electricity. It accounts for the wavelength dependence of optical properties of different material layers. The model is also able to predict the light converted to heat in the module. This last part is needed for thermal modeling of the panel. The electrical model is based on the classical one-diode model. The thermal model was proposed in a previous work and allows us to predict the thermal response of the PV panel throughout its thickness. The proposed multi-physics model was implemented on MATLAB software. Finally, electrical predictions at different operating temperatures are compared with manufacturers' data for two commercial PV panels. The Nominal Operating Cell Temperature (NOCT) was also predicted and compared with manufacturers' data.

KW - Finite Difference Method

KW - Heat Generation

KW - Photonic Wavelength

KW - Photovoltaic Panel

UR - http://www.scopus.com/inward/record.url?scp=85027887385&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027887385&partnerID=8YFLogxK

U2 - 10.1109/IRSEC.2016.7983990

DO - 10.1109/IRSEC.2016.7983990

M3 - Conference contribution

SP - 136

EP - 141

BT - Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -