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PVRADAR launches Python programming tool to ease site-specific loss modeling
German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.
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IEA PVPS interviews Thore Müller on Soiling and Cleaning
Thore Müller highlights soiling as a major cause of energy loss in PV systems, especially in harsh environments. In this interview, he discusses how soiling varies by climate, its impact on performance, effective cleaning strategies, how to optimize maintenance schedules, and future innovations in mitigation. The video offers practical insights for maximizing PV efficiency under real-world conditions.
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Bifacial PV tracking systems: an international overview
PV systems combining bifacial and tracker technologies deliver the lowest-cost PV-generated electricity in most parts of the world. Joshua Stein, Giosuè Maugeri, Silvana Ovaitt and Thore Müller explore some of the technical and financial factors influencing the optimal performance of tracked bifacial PV systems
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Best Practices for the Optimization of Bifacial Photovoltaic Tracking Systems
This report by the IEA PVPS workgroup 13 offers a detailed overview of the latest best practices and innovations in the deployment of bifacial photovoltaic (PV) tracking systems. PVRADAR has contributed to this report as main author of chapter 2.5 on albedo optimization.
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Large-scale photovoltaics, friendly artificial intelligence solves problems
Large-scale PV systems require meticulous optimization of numerous variables, relying on vast amounts of data and AI for higher profitability. Accurate design, based on detailed data collection, is crucial to avoid discrepancies between expected and actual performance.
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PVRADAR offers solar project risk assessments factoring in historical climate data
“PVRADAR Labs has expanded its software platform to include PV project risk assessment functionality, reportedly enabling more realistic performance estimates based on historical climate data”
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Securing solar investment: strategies for world class performance and reliability
“A recent study found that ‘solar assets are underperforming by an average of 8%’. Part of the problem is that the average photovoltaic project is designed based on standard values for climate-related losses that bear no relation to reality” PES, issue 128, p.84-87
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Novel software to optimize PV cleaning strategies
New PVRADAR’s Cleaning App can reportedly model soiling losses and cleaning benefits, while reducing cleaning costs and maximizing the overall economic performance of projects.