PVRADAR: Company

World-class performance and reliability.

We believe the solar industry needs to achieve world-class performance and reliability. Underperformance could hold the sector back at the very time it needs to accelerate.

This is why we develop digital solutions that enable solar project developers to maximize the potential of their projects from day one of development.

PVRADAR is exactly the tool Thore and I always wished we had back when we were in project development.

Franco Clandestino

Head of Product & Co-Founder

Success Stories

EDP turns operational data into advanced modeling with PVRADAR

HELIOS optimizes PV + BESS project designs automatically using PVRADAR

TotalEnergies validates PVRADAR as the most accurate soiling model across PV sites in the US

THORE MÜLLER

CEO

5 years in applied research and consulting at ENGIE, specialist in autonomous cleaning

KONSTANTIN POGORELOV

CTO

20 years in software development and team-leadership

FRANCO CLANDESTINO

Head of Product

3 years in applied research and consulting at ENGIE, specialist in albedo improvements

Our advisors

Prof. Thomas Hamacher

Chair of Renewable and Sustainable Energy Systems, Technical University of Munich (TUM)

Thomas Hamacher is a leading expert in the field of energy and systems analysis with a focus on urban energy systems and the integration of renewable energies. His research covers a wide range of topics, from the development of future energy infrastructure plans to the assessment of the external environmental costs of fusion power plants. Prof. Hamacher has accompanied the PVRADAR journey from day one.

Prof. Leonardo Micheli

Assistant Professor at Sapienza - University of Rome

Leonardo Micheli holds a PhD in renewable energy from the University of Exeter (UK). He specializes in the modelling and analysis of photovoltaic systems to minimize losses, especially from soiling. With over 30 peer-reviewed publications mainly focusing on soiling and cleaning optimization, he is an invaluable support to PVRADAR’s efforts for accurate soiling predictions.

Dr. Ben Figgis

Researcher at Murdoch University and former research program manager at the Qatar Environment and Energy Research Institute (QEERI)

Ben Figgis holds a PhD from the University of Strasbourg. He has extensive experience in solar energy projects and research and is currently focusing on the automation of PV plant inspection at Murdoch University. Thanks to his practical experience with autonomous cleaning robots for PV systems in the desert, his advice is highly valued at PVRADAR.

Dr. Yazan J.K. Musleh

Solar Resource Expert

Yazan J.K. Musleh is a solar resource expert with a PhD from the University of Southampton (UK). His work focuses on modelling and validating irradiance for bifacial, tracking, and AgriPV systems. He combines satellite, reanalysis, and ground data to improve clear-sky, decomposition, and transposition models - enabling accurate, high-resolution assessments across diverse climates and advancing next-generation solar energy modelling.

Supporters

Partners

PVRADAR is a proud member of Photovoltaic Power Systems Programme (PVPS) of the International Energy Agency (IEA) and is actively supporting the 2024 reports on “Reliability and Performance of Photovoltaic Systems”

Conference presentations

Thore Müller (Feb 28, 2023). Techno-economic evaluation of the cleaning of PV power plants on the basis of satellite data [Conference presentation]. 38th PV-Symposium, Bad Staffelstein, Germany.
Franco Clandestino (Jun 11-16, 2023). Cleaning optimization for photovoltaic power plants: A novel approach combining techno-economic modelling with historic rain and soiling. 50th IEEE Photovoltaic Specialists Conference (PVSC), San Juan, Puerto Rico.
Franco Clandestino (Sep 18-22, 2023). Cleaning optimization for photovoltaic power plants: A novel approach combining techno-economic modelling with historic rain and soiling. 40th European Photovoltaic Solar Energy Conference & Exhibition (EU PVSEC 2023), Lisbon, Portugal.
Thore Müller (Nov 15-18 2023). Cleaning optimization for photovoltaic power plants: Techno-economic evaluation of different fully-autonomous robotic solutions. 1st Middle East and North Africa Solar Conference (MENA-SC), Dubai, UAE