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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