• DocumentCode
    59984
  • Title

    Systematic Approaches to Ensure Correct Representation of Measured Multi-Irradiance Module Performance in PV System Energy Production Forecasting Software Programs

  • Author

    Sauer, Kenneth J. ; Roessler, Thomas

  • Author_Institution
    Yingli Green Energy Americas, Inc., San Francisco, CA, USA
  • Volume
    3
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    422
  • Lastpage
    428
  • Abstract
    Photovoltaic (PV) systems are gradually becoming larger to better leverage economies of scale. Still, project size and financing are governed by the confidence that investors have in forecasted energy production. Default settings of PV module models in the two prevalent production forecasting software programs only poorly reproduce measured data for standard multicrystalline module types. To address this issue, this study presents and applies systematic approaches to minimize differences between modeled and measured PV module efficiencies at multiple irradiance intensities. Optimized models considerably improve the agreement between model and measurement and have a significant impact on energy forecasts.
  • Keywords
    electronic engineering computing; elemental semiconductors; forecasting theory; semiconductor device models; silicon; solar cells; Si; correct representation; default settings; multi-irradiance module performance; multicrystalline module; multiple irradiance intensities; optimized models; photovoltaic module efficiencies; photovoltaic module models; photovoltaic system energy production forecasting software programs; systematic approaches; Mathematical model; Numerical models; Optimization; Software; Solid modeling; Systematics; Temperature measurement; Current–voltage characteristics; PV systems; mathematical model; photovoltaic (PV) cells; silicon; solar power generation;
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2012.2221080
  • Filename
    6336775