• DocumentCode
    71316
  • Title

    Changes in Cadmium Telluride Photovoltaic System Performance due to Spectrum

  • Author

    Nelson, Lynn ; Frichtl, Mark ; Panchula, Alex

  • Author_Institution
    First Solar, San Francisco, CA, USA
  • Volume
    3
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    488
  • Lastpage
    493
  • Abstract
    Seasonal and short-term weather-related changes in the solar spectrum can induce shifts in the performance of photovoltaic (PV) systems that affect both annual energy predictions and system characterization. The spectral shift factor, which is a metric indicative of how much the performance of a PV system will vary from nameplate due to deviations from the ASTM G173 spectrum (air mass of 1.5), is predicted using TMY3 data and the simple model of the atmospheric radiative transfer for sunshine (SMARTS) model and is correlated with cadmium telluride (CdTe) PV system performance in four different climates. The predicted spectral shift factors for CdTe systems show improved performance in the late summer and early fall and diminished performance in the winter. These intraannual variations can be as large as ±3%, but annual spectral shift factors are typically within ± 1% of nameplate. The spectral shift factor of CdTe systems was found to be most sensitive to the precipitable water content of the atmosphere. Consequently, a parameterization of CdTe spectral shift factor as an exponential function of precipitable water is derived using the outputs of the SMARTS model in 11 locations. This parameterization is shown to predict observed monthly and daily fluctuations in CdTe PV performance. Future efforts will incorporate this methodology into energy predictions that will reduce uncertainty.
  • Keywords
    II-VI semiconductors; cadmium compounds; photovoltaic power systems; radiative transfer; solar spectra; ASTM G173 spectrum; CdTe; CdTe systems; SMARTS model; TMY3 data; air mass; annual energy predictions; atmospheric radiative transfer; cadmium telluride photovoltaic system; intraannual variations; precipitable water content; solar spectrum; spectral shift factor; sunshine; Absorption; Atmospheric modeling; Meteorology; Photovoltaic systems; Predictive models; Tellurium; Temperature measurement; Cadmium telluride (CdTe); modeling; photovoltaic (PV) systems; spectrum;
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2012.2226868
  • Filename
    6355945