In the project, IFE has contributed to the development of a number of new methods for determining deviations from normal production related to soiling, degradation and errors. By dealing with these factors in a cost-effective way, solar power plants can improve production. The methods are based on autonomous analysis of enormous amounts of data that is generated at all times in the various power plants, in addition to drone-based diagnostic campaigns in the field. IPN O&M has been at the forefront internationally.
The project has, among other things, contributed to:
• Strengthening IFE’s research group for PV systems.
• Development of sets of instruments, data filtering tools and methods for data analysis.
• Development of data-driven algorithms for determining soiling and timing of field washing operations.
• Development of data-driven algorithms for troubleshooting and diagnostics for solar panels and converters.
• A large number of scientific publications and several highly visible contributions at international conferences.
• Education of 1 PhD candidate (Åsmund Skomedal)
• Education of 1 M.Sc. candidate (Øystein Øvrum)
• Education of a Fulbright Fellow from the United States (Scott Adler)
The most important findings from the project are summarized in this film:
The project has been very successful and several of the methods will be implemented in existing and future solar parks in Scatec’s and Equinor’s portfolio.
22. November 2022
XR4HUMAN – Equitable, Inclusive, and Human-Centred XR
XR4HUMAN is a new research project that takes aim to address and develop the ethical &…
23. September 2022
Schlumberger becomes largest owner in IFE spin-off Zeg Power
ZEG Power (ZEG) raises NOK 200m in funding round to scale up its zero-emission hydrogen…