PVRADAR logo

Our mission: enable every company to do their own performance analytics.

We believe performance analytics should not depend on black-box software. Engineering teams should be able to control every model, assumption, parameter, and data source, and run their solutions wherever they want.

That is why we are building PVRADAR: a modeling framework that helps solar companies turn design documentation and operational data into digital twins, combine industry-standard models with their own internal logic, and build analytics that are fully transparent and traceable.

Because nobody knows your plants as well as you do.

team
card image
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

The team

card image
THORE MÜLLER
CEO
5 years in applied research and consulting at ENGIE + 5 years at PVRADAR, specialist in performance modeling and digital twins.
card image
KONSTANTIN POGORELOV
CTO
20 years in software development and team-leadership + 5 years at PVRADAR.
card image
FRANCO CLANDESTINO
Head of Product
3 years in applied research and consulting at ENGIE + 5 years at PVRADAR, specialist in soiling modeling and data analysis.

Our advisors

card image
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.
card image
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.
card image
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.
card image
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

supporter-werk1.webpsupporter-exist.webpsupporter-fmeaca.webpsupporter-eu.webp

Partners

partner-dlr.webppartner-tum.webp

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”

PVRADAR is part of the APV-Monitor research project, collaborating with Volateq and Forschungszentrum Jülich to develop innovative monitoring and modeling solutions for Agri-PV systems. The project is co-financed by the State of North Rhine-Westphalia and the European Union.

PVRADAR takes part in the PV O&M Analytics Collaborative (PVMAC), a PVPMC initiative that brings together key industry stakeholders to improve transparency, interoperability, and standardization in PV operations.

Conference presentations

PVPMC - PV Performance Modeling Collaborative

EU-PVSEC - European Photovoltaic Solar Energy Conference & Exhibition

  • Dynamic Cleaning Optimization Based on Historical Analysis and Real-Time Soiling Data
    Franco Clandestino | Sep 22-26, 2025 | Bilbao, Spain
  • Quantifying the Global Impact of Soiling.
    Franco Clandestino | Sep 23-27, 2024 | Vienna, Austria
  • Cleaning optimization for photovoltaic power plants: A novel approach combining techno-economic modelling with historic rain and soiling.
    Franco Clandestino | Sep 18-22, 2023 | Lisbon, Portugal

Other industry events

  • VivaTech,
    Scaling solar asset intelligence: a PVRADAR x TotalEnergies pilot
    Thore Müller | Jun 19-20 2026 | Paris, France
  • 1st Middle East and North Africa Solar Conference (MENA-SC),
    Cleaning optimization for PV plants: Techno-economic evaluation of different fully-autonomous robotic solutions.
    Thore Müller | Nov 15-18 2023 | Dubai, UAE
  • 50th IEEE Photovoltaic Specialists Conference (PVSC),
    Cleaning optimization for photovoltaic power plants: A novel approach combining techno-economic modelling with historic rain and soiling.
    Franco Clandestino | Jun 11-16, 2023 | San Juan, Puerto Rico
  • 38th PV-Symposium,
    Techno-economic evaluation of the cleaning of PV power plants on the basis of satellite data.
    Thore Müller | Feb 28, 2023 | Bad Staffelstein, Germany