• DocumentCode
    121957
  • Title

    Validation of multiple tools for flat plate photovoltaic modeling against measured data

  • Author

    Freeman, J. ; Whitmore, Jonathan ; Blair, Nate ; Dobos, Aron P.

  • Author_Institution
    Nat. Renewable Energy Lab., Golden, CO, USA
  • fYear
    2014
  • fDate
    8-13 June 2014
  • Firstpage
    1932
  • Lastpage
    1937
  • Abstract
    In this validation study, comprehensive analysis is performed on nine photovoltaic systems for which NREL could obtain detailed performance data and specifications, including three utility-scale systems and six commercial-scale systems. Multiple photovoltaic performance modeling tools were used to model these nine systems, and the error of each tool was analyzed compared to quality-controlled measured performance data. This study shows that, excluding identified outliers, all tools achieve annual errors within ±8% and hourly root mean squared errors less than 7% for all systems. Finally, the acceptability of this range of annual error is discussed with regard to irradiance data uncertainty and the use of default loss assumptions, and two avenues are proposed to reduce photovoltaic modeling error.
  • Keywords
    mean square error methods; solar cells; NREL; commercial-scale systems; flat plate photovoltaic modeling; irradiance data uncertainty; multiple photovoltaic performance modeling tools; quality-controlled measured performance data; root mean squared errors; utility-scale systems; Geometry; Wiring; PV modeling error; PV*SOL; PVWatts; PVsyst; System Advisor Model; photovoltaic models; validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/PVSC.2014.6925304
  • Filename
    6925304