Quality solar resource data helps reduce PV project risk and increase the likelihood that performance expectations modeled during the design phase are met over a PV
system’s lifetime.
But how is “quality” defined? One key factor to consider is the overall uncertainty of the dataset, which can be quantified by comparing satellite-derived data to quality ground-measured meteo data.
In this webinar, you’ll be presented the results of an independent validation report of SolarAnywhere® satellite-derived irradiance data conducted by Fraunhofer Institute for Solar Energy Systems ISE, a leading solar research institute in Europe. You’ll gain insight into how the validation report was conducted, and examine various aspects of SolarAnywhere performance based on timeframe, climatology and deviation trends.
In this webinar, you’ll learn:
In this webinar, you’ll be presented the results of an independent validation report of SolarAnywhere® satellite-derived irradiance data conducted by Fraunhofer Institute for Solar Energy Systems ISE, a leading solar research institute in Europe. You’ll gain insight into how the validation report was conducted, and examine various aspects of SolarAnywhere performance based on timeframe, climatology and deviation trends.
In this webinar, you’ll learn:
- The impact solar resource data uncertainty has on overall project uncertainty
- How uncertainty of satellite-derived datasets is evaluated
- The results of Fraunhofer ISE’s validation study of SolarAnywhere satellite-derived irradiance data
- How you can apply solar resource dataset uncertainty to your solar PV projects, no matter the location
Register now to join us on 18 October 2023.
Save Your Seat
Wednesday, 18 October 2023
8:00 a.m. PDT / 5:00 p.m. CEST
8:00 a.m. PDT / 5:00 p.m. CEST
Attendance is limited!
About the Speakers
Hang Bui
Lead Product Manager, SolarAnywhere
Hang is the Lead Product Manager for SolarAnywhere at Clean Power Research. Throughout her career, she has focused on optimizing large scale operations through digital transformation. She leverages this background to create software products that address the technical needs of the solar industry and accelerate its advancement.
Hang studied engineering and computer science at the University of Texas at Austin.
Hang studied engineering and computer science at the University of Texas at Austin.
Dr. Steffen Karalus
Energy Meteorology, Power Solutions
Steffen Karalus is a scientist and project manager in the Energy Meteorology group at the Fraunhofer Institute for Solar Energy Systems ISE. Since 2018, the focus of his research has been on solar irradiance retrieval from satellite imagery and its application for PV power prediction.
Previously, he studied Physics at the University of Leipzig, Germany, and worked as a researcher in Statistical Physics at the University of Cologne, Germany, where he received his PhD in 2015.
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