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Improve the reliability and performance of solar technologies. We support Photovoltaic M&D on plants from 1MW to 100MW+. We apply physics-based models coupled with advanced AI to alert you of minor events before they grow into more critical performance or safety issues. We specialize in integrating our advanced approaches into your existing M&D infrastructure, with no new software required.

Turbine Logic will be working with US Department of Energy and EPRI to enhance development of advanced algorithms for solar plant monitoring and diagnostics.

Our project is awarded through the Solar Energy Technologies Office (SETO) Fiscal Year 2019 Funding Program in Photovoltaics Research and Development area.


Project Name: Automating Detection and Diagnosis of Faults, Failures, and Underperformance in PV Plants
Location: Palo Alto, CA
DOE Award Amount: $2 million
Cost Share: $500,000
Project Summary: Using machine learning and developing algorithms, this project team will identify reasons for unplanned maintenance events at utility-scale solar photovoltaic (PV) plants and differentiate them from power fluctuations due to causes that do not require on-site maintenance, like weather or module degradation. By analyzing the continuous energy-production data stream coming from utility-scale PV arrays, this technology can eliminate false alarms that are sent to PV system owners and operations and maintenance firms. This would decrease the labor required to review underperformance, lower the levelized cost of PV electricity, and increase energy output.

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