• DocumentCode
    86737
  • Title

    Spectrum Sensitivity, Energy Yield, and Revenue Prediction of PV Modules

  • Author

    Kinsey, Geoffrey S.

  • Author_Institution
    Zuva Energy Consulting, Boston, MA, USA
  • Volume
    5
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    258
  • Lastpage
    262
  • Abstract
    Predictive performance comparison has been made for four types of photovoltaics (PV) modules: cadmium telluride, multicrystalline silicon, copper indium gallium selenide, and monocrystalline silicon. Representative spectral response and nameplate specifications were used to determine the performance under operating conditions in Albuquerque, NM, USA. Hour-by-hour spectra were derived via archived meteorological data. Use of this modeled spectra enables sensitivity analysis of the energy yield and revenue potential of competing PV module types and determination of new target spectra for future design optimization.
  • Keywords
    II-VI semiconductors; cadmium compounds; copper compounds; elemental semiconductors; gallium compounds; indium compounds; silicon; solar cells; ternary semiconductors; CdTe; Cu(InGa)Se2; PV modules; Si; archived meteorological data; cadmium telluride; copper indium gallium selenide; design optimization; energy yield; monocrystalline silicon; multicrystalline silicon; nameplate specification; photovoltaic modules; revenue potential; revenue prediction; sensitivity analysis; spectral response; spectrum sensitivity; Atmospheric modeling; Databases; Electricity; Photovoltaic cells; Photovoltaic systems; Sensitivity; Energy prediction; energy yield; spectral irradiance; spectral response;
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2014.2370256
  • Filename
    6981930