• DocumentCode
    121982
  • Title

    Energy modelling and rating - (a personal overview)

  • Author

    Ransome, Steve

  • Author_Institution
    SRCL Kingston upon Thames, Kingston upon Thames, UK
  • fYear
    2014
  • fDate
    8-13 June 2014
  • Firstpage
    2047
  • Lastpage
    2052
  • Abstract
    There are two main requirements for PV model accuracy - 1) Power Modelling : “Measured vs. predicted PMAX W” at each measurement (under variable weather conditions). 2) Energy Rating : “Measured vs. predicted energy yield (kWh/kWp)” summed over a time period such as 1 year. The relative spread in measured energy yield (kWh/kWp) from systems of different technologies has been reducing over the years to less than f a few % as power tolerances have decreased (from more accurate measurements by the manufacturers) and lower marketing tolerances including allowances for degradation [1][2]. PV technologies are also now optimised with better low light performance [3]. Predicted energy yields from PV simulation programs have been found to be very dependent on the default loss assumptions and user estimates for module mismatch, soiling, measured/nominal Pmax etc. [4]
  • Keywords
    photovoltaic power systems; power system measurement; PV model accuracy; PV simulation programs; energy modelling; energy rating; low light performance; marketing tolerances; photovoltaic systems; power modelling; power tolerances; predicted energy yield; Accuracy; Junctions; Mathematical model; Meteorology; Predictive models; Soil measurements; Temperature measurement; Modeling; Photovoltaic systems; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/PVSC.2014.6925329
  • Filename
    6925329