Predicting Long-Term Performance of Photovoltaic Arrays Using Short-Term Test Data and an Annual Simulation Tool: Preprint (Revised)

Paul Norton

Research output: Contribution to conferencePaper

Abstract

We present a method of analysis for predicting annual performance of an in-situ photovoltaic (PV) array using short-term test data and an annual simulation tool. The method involves fitting data from a family of I-V curves (depicting current versus voltage) taken from a short-term test (1 to 3 day) of a PV array to a set of polynomial functions. These functions are used to predict the array'sbehaviour under a wide range of temperatures and irradiances. TRNSYS, driven by TMY2 weather data, is used to simulate the array's behaviour under typical weather conditions. We demonstrate this method by using results from a nominal 630-W array.
Original languageAmerican English
Number of pages11
StatePublished - 2003
EventSolar 2003 Conference: America's Secure Energy - Austin, Texas
Duration: 21 Jun 200326 Jun 2003

Conference

ConferenceSolar 2003 Conference: America's Secure Energy
CityAustin, Texas
Period21/06/0326/06/03

NREL Publication Number

  • NREL/CP-550-33601

Keywords

  • long-term performance
  • photovoltaic
  • PV
  • short-term testing
  • simulation tools

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