Dronebase Photovoltaic (PV) Fleet Imagery Quantitative Evaluation: Cooperative Research and Development Final Report, CRADA Number CRD-22-22941

Kirsten Perry; Chris Deline

doi:10.66816/tp5498445

Dronebase Photovoltaic (PV) Fleet Imagery Quantitative Evaluation: Cooperative Research and Development Final Report, CRADA Number CRD-22-22941

Materials Science

Research output: NLR › Technical Report

Abstract

Combine the Dronebase aerial imagery with corresponding sites in the NLR Photovoltaic (PV) Fleets database. By combining these two data sources in an aggregated, anonymized fashion, we can perform the following analyses: quantifying power loss due to outages caused by stuck trackers, string outages, and shading/snow, validate site metadata, including tilt and azimuth, and correlate.

Original language	American English
Number of pages	14
DOIs	https://doi.org/10.66816/tp5498445
State	Published - 2026

NLR Publication Number

NLR/TP-5K00-100528

Keywords

aerial IR
azimuth
CRADA
data fusion
degradation analysis
geolocation
infrared (IR) imagery
inverter blocks
photovoltaic (PV)
photovoltaic systems
SCADA
thermal imagery
time series data

Access to Document

10.66816/tp5498445

https://www.nlr.gov/docs/fy26osti/100528.pdf

Cite this

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abstract = "Combine the Dronebase aerial imagery with corresponding sites in the NLR Photovoltaic (PV) Fleets database. By combining these two data sources in an aggregated, anonymized fashion, we can perform the following analyses: quantifying power loss due to outages caused by stuck trackers, string outages, and shading/snow, validate site metadata, including tilt and azimuth, and correlate.",

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N2 - Combine the Dronebase aerial imagery with corresponding sites in the NLR Photovoltaic (PV) Fleets database. By combining these two data sources in an aggregated, anonymized fashion, we can perform the following analyses: quantifying power loss due to outages caused by stuck trackers, string outages, and shading/snow, validate site metadata, including tilt and azimuth, and correlate.

AB - Combine the Dronebase aerial imagery with corresponding sites in the NLR Photovoltaic (PV) Fleets database. By combining these two data sources in an aggregated, anonymized fashion, we can perform the following analyses: quantifying power loss due to outages caused by stuck trackers, string outages, and shading/snow, validate site metadata, including tilt and azimuth, and correlate.

KW - aerial IR

KW - azimuth

KW - CRADA

KW - data fusion

KW - degradation analysis

KW - geolocation

KW - infrared (IR) imagery

KW - inverter blocks

KW - photovoltaic (PV)

KW - photovoltaic systems

KW - SCADA

KW - thermal imagery

KW - time series data

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M3 - Technical Report

ER -

Dronebase Photovoltaic (PV) Fleet Imagery Quantitative Evaluation: Cooperative Research and Development Final Report, CRADA Number CRD-22-22941

Abstract

NLR Publication Number

Keywords

Access to Document

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Cite this