Solar Resource Assessment for PV Applications

  • M. David
  • A. Guerin de Montgareuil
  • J. Merten
  • B. Proisy
  • G. Olivier


As many countries, France recently set up an incentive policy for the installation of grid-connected PV-systems. In this context, it becomes important for an investor to be able to calculate the kWh-production from a given system in a specific site. The national program, Performance PV France, gathers research laboratories and French industrials in order to improve the PV system models and the solar resources assessment.

In order to evaluate a better method to monitor the solar resource for PV applications, three sites with different climates were selected. First two ones are located in the metropolitan France, Cadarache and Chambery, and they are respectively representative of the Mediterranean and the Alpine climates. The last one is situated in the Reunion Island coast (south part of Indian Ocean) and it is representative of the insular tropical climate. This monitoring will give a comparison between the solar irradiation measured on inclined planes by pyranometers and PV cells. The second goal of this measurement campaign is the improvement of translation models, from global horizontal irradiation to titled surfaces. In this paper we will present the experimental devices used to evaluate the solar resource with pyranometers and PV cells for 15 planes of different orientations.


Global Irradiance Solar Resource Global Horizontal Irradiance Global Horizontal Solar Irradiation Global Horizontal Irradiation 
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  1. (2).
    D.M. Utzinger, S.A. Klein, “A method of estimating monthly average solar radiation on shaded receivers”, Solar Energy, vol. 23, pp. 369–378, 1979.CrossRefGoogle Scholar
  2. (3).
    J.A. Duffie, W.A. Beckman, “Solar Engineering of Thermal Processes”, Second Edition, Wiley-Interscience Publication, 1991.Google Scholar
  3. (4).
    M. Iqbal, “An introduction to solar radiation”, Toronto, Academic Press, 1983.Google Scholar
  4. (5).
    Perez, R., R. Stewart, C. Arbogast, R. Seals and J. Scott (1986), “An anisotropic hourly diffuse radiation model for sloping surfaces: Description, performance validation, site dependency evaluation”, Solar Energy, Volume 36, Issue 6, p. 481–497.CrossRefGoogle Scholar
  5. (6).
    Gueymard C., “SMARTS2, a simple model of atmospheric radiative transfer of sunshine: algorithms and performance assessment”, Document FSEC-PF-270-95 Florida Solar Energy Centre, 1679 Clearlake Road, Cocoa, Florida, 32922–7703, 1995.Google Scholar
  6. (7).
    F. J. Olmo, J. Vida, I. Foyo, Y. Castro-Diez and L. Alados-Arboledas, “Prediction of global irradiance on inclined surfaces from horizontal global irradiance”, Energy, Volume 24, Issue 8, p. 689–704, August 1999.CrossRefGoogle Scholar
  7. (8).
    Danny H. W. Li and Joseph C. Lam, “Predicting solar irradiance on inclined surfaces using sky radiance data”, Energy Conversion and Management, Volume 45, Issue11–12, July 2004.Google Scholar

Copyright information

© Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg 2008

Authors and Affiliations

  • M. David
    • 1
  • A. Guerin de Montgareuil
    • 2
  • J. Merten
    • 3
  • B. Proisy
    • 4
  • G. Olivier
    • 5
  1. 1.Laboratory of Buildings and Systems Physics, LPBSUniversity of La ReunionSaint-PierreFrance
  2. 2.CEA/INES-DTS/L2S Cadarache Outdoor Measurement PlatformSaint-Paul-lez-DuranceFrance
  3. 3.CEA / LITEN-INES/RDIChamberyFrance
  4. 4.PHOTOWATTBourg en BresseFrance
  5. 5.TENESOLToulouseFrance

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