Evaluating the Accuracy of Various Irradiance Models in Detecting Soiling of Irradiance Sensors

Michael Deceglie, Matthew Muller, Zoe DeFreitas, Anthony Ramirez, Brian Huang, Sarah Kurtz

Research output: Contribution to conferencePaperpeer-review

4 Scopus Citations

Abstract

We evaluate the feasibility of using various clear-sky models or purchased satellite data for estimating the soiling of a reference cell irradiance sensor. We find results to be more accurate for models that consider local meteorological conditions. We conclude that given the data sets considered, and depending on the requirements of the data analyst, choosing to use purchased satellite irradiance data from Solargis to estimate the soiling of a reference cell sensor tends to yield more accurate results, although there are instances where a clear-sky model performs better. The SOLIS clear-sky model in PVLIB with variable Pwat provided useful soiling results, implying that the general method of using a clear-sky model with local meteorological data may provide a low-cost tool for detecting soiling of irradiance sensors.

Original languageAmerican English
Pages2223-2228
Number of pages6
DOIs
StatePublished - Jun 2019
Event46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States
Duration: 16 Jun 201921 Jun 2019

Conference

Conference46th IEEE Photovoltaic Specialists Conference, PVSC 2019
Country/TerritoryUnited States
CityChicago
Period16/06/1921/06/19

Bibliographical note

See NREL/CP-5K00-75156 for preprint

NREL Publication Number

  • NREL/CP-5K00-76287

Keywords

  • aerosol optical depth
  • clear-sky
  • irradiance
  • photovoltaic performance
  • precipitable water
  • soiling
  • soiling losses

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