Statistically adjusted engineering (SAE) modeling of metered roof-top photovoltaic (PV) output: California evidence

A. DeBenedictis*, T. E. Hoff, S. Price, Chi-Keung WOO

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Accurate hourly photovoltaic (PV) output data are useful for engineering design, cost-effectiveness evaluation, rate design, system operation, transmission planning, risk management, and policy analysis. However, a large sample of hourly metered PV data is seldom available, and engineering simulation is often the only practical means to obtain hourly PV output. Based on an analysis of net energy metering (NEM) funded by the California Public Utilities Commission (CPUC), this paper presents statistically adjusted engineering (SAE) modeling of metered output of 327 roof-top PV installations in California for the 12-month period of January-December 2008. The key findings are: (a) the metered PV output is on an average 80-90% of simulated performance; and (b) the simulated data have useful information for accurately predicting metered PV performance. Plausible causes for (a) include incomplete input data for PV simulation, occasional failures in metered data recording, and less than ideal conditions for PV performance in the real world.

Original languageEnglish
Pages (from-to)4178-4183
Number of pages6
JournalEnergy
Volume35
Issue number10
DOIs
Publication statusPublished - Oct 2010

Scopus Subject Areas

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Photovoltaic
  • PV Simulation
  • SAE modeling

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