Blind Photovoltaic Modeling Intercomparison: A Multidimensional Data Analysis and Lessons Learned

Marios Theristis, Nicholas Riedel-Lyngskaer, Joshua Stein, Lelia Deville, Leonardo Micheli, Anton Driesse, William Hobbs, Silvana Ovaitt, Rajiv Daxini, David Barrie, Mark Campanelli, Heather Hodges, Javier Ledesma, Ismael Lokhat, Brendan McCormick, Bin Meng, Bill Miller, Ricardo Motta, Emma Noirault, Megan ParkerJesus Polo, Daniel Powell, Rodrigo Moreton, Matthew Prilliman, Steve Ransome, Martin Schneider, Branislav Schnierer, Bowen Tian, Frederick Warner, Robert Williams, Bruno Wittmer, Changrui Zhao

Research output: Contribution to journalArticlepeer-review

3 Scopus Citations

Abstract

The Photovoltaic (PV) Performance Modeling Collaborative (PVPMC) organized a blind PV performance modeling intercomparison to allow PV modelers to blindly test their models and modeling ability against real system data. Measured weather and irradiance data were provided along with detailed descriptions of PV systems from two locations (Albuquerque, New Mexico, USA, and Roskilde, Denmark). Participants were asked to simulate the plane-of-array irradiance, module temperature, and DC power output from six systems and submit their results to Sandia for processing. The results showed overall median mean bias (i.e., the average error per participant) of 0.6% in annual irradiation and −3.3% in annual energy yield. While most PV performance modeling results seem to exhibit higher precision and accuracy as compared to an earlier blind PV modeling study in 2010, human errors, modeling skills, and derates were found to still cause significant errors in the estimates.

Original languageAmerican English
Pages (from-to)1144-1157
Number of pages14
JournalProgress in Photovoltaics: Research and Applications
Volume31
Issue number11
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Progress in Photovoltaics: Research and Applications published by John Wiley & Sons Ltd.

NREL Publication Number

  • NREL/JA-5K00-87172

Keywords

  • blind comparison
  • modeling
  • performance
  • photovoltaic
  • yield modeling

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