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Progress in Photovoltaics Research and Applications
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Blind photovoltaic modeling intercomparison: A multidimensional data analysis and lessons learned

A multidimensional data analysis and lessons learned
Authors: Marios Theristis; Nicholas Riedel‐Lyngskær; Joshua S. Stein; Lelia Deville; Leonardo Micheli; Anton Driesse; William B. Hobbs; +25 Authors

Blind photovoltaic modeling intercomparison: A multidimensional data analysis and lessons learned

Abstract

AbstractThe 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.

Countries
Netherlands, Italy
Keywords

photovoltaic, blind comparison, blind comparison; modeling; performance; photovoltaic; yield modeling, modeling, SDG 7 - Affordable and Clean Energy, yield modeling, performance, SDG 7 – Betaalbare en schone energie

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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