A simple non-linear model for the effect of partial shade on PV systems

Niket Thakkar, Daniel Cormode, Vincent P.A. Lonij, Steve Pulver, Alexander D. Cronin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations

Abstract

The effect of shade from one PV module on another is incorporated into a model for the power generated by PV systems. The model is calibrated with data from the Tucson Electric Power solar test yard. Shade de-rating factors from the model are compared with data every minute of the day and every day of the year. The model is then used to predict final yields (kWh/kWDC) for different PV system deployments with various (non-tracking) module orientations and ground-cover ratios. Several heuristics are put forth to help understand how the observed non-linear response to shade can impact the yield from PV systems. In one example, we find that a PV system deployed in the Tucson Electric Power solar test yard could produce 22% more kWh for the month of December (and 3.8% more annually) if the modules were separated by twice as much distance. In another example, we predict that a system in Tucson with south-facing modules at 12-degrees from horizontal can generate 1.5 times as many kWh/yr per square-meter of land compared to a system with modules at 32-degrees (the latitude angle). These examples emphasize the non-linear impact of partial shade on PV system performance.

Original languageEnglish (US)
Title of host publicationProgram - 35th IEEE Photovoltaic Specialists Conference, PVSC 2010
Pages2321-2326
Number of pages6
DOIs
StatePublished - 2010
Event35th IEEE Photovoltaic Specialists Conference, PVSC 2010 - Honolulu, HI, United States
Duration: Jun 20 2010Jun 25 2010

Publication series

NameConference Record of the IEEE Photovoltaic Specialists Conference
ISSN (Print)0160-8371

Other

Other35th IEEE Photovoltaic Specialists Conference, PVSC 2010
Country/TerritoryUnited States
CityHonolulu, HI
Period6/20/106/25/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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