In future, big data analysis using advanced AI techniques based on the monitoring of a large amount of data will enable the development of extensive benchmarking of key performance indicators (KPIs) for the solar PV industry. This will help PV developers to derive the real-life impact on the system losses and reliability of design choices and configuration during design phase, while O&M operators could optimize their maintenance routines during the operational phase. The presentations in this session will cover the outcomes of the work carried out by IEA PVPS Task 13 experts to provide best practice on how to gain insights from monitored data and extreme diversity of asset types and operational context within a PV plant.
Moderation: Ulrike Jahn, VDE Renewables, Germany
15:15 – 15:20
Short Introduction of IEA PVPS of Task 13
Ulrike Jahn, IEA PVPS Task 13 Task Manager
15:20 – 15:35 (15 min talk)
Reliability for New Applications
Karl-Anders-Weiß, Fraunhofer ISE, Germany
15:35 – 15:50 (15 min talk)
Yield Assessments and Performance Loss Rates of PV Power Systems
David Moser, EURAC Research, Italy
15:50 – 16:05 (15 min talk)
Will PV optimizer lead to optimum solar output at light shading conditions?
Franz Baumgartner, ZHAW, Switzerland
16:05 – 16:20 (15 min talk)
Soiling Losses – Impact on the Performance of PV Power Plants
Christian Schill, Fraunhofer ISE, Germany
16:20 – 16:45
Panel Discussion: From bankability to reliability
In future, big data analysis using advanced AI techniques based on the monitoring of a large amount of data will enable the development of extensive benchmarking of key performance indicators (KPIs) for the solar PV industry. This will help PV developers to derive the real-life impact on the system losses and reliability of design choices and configuration during design phase, while O&M operators could optimize their maintenance routines during the operational phase. The presentations in session 2 will cover the outcomes of the work carried out by IEA PVPS Task 13 experts to provide best practice on how to gain insights from monitored data and extreme diversity of asset types and operational context within a PV plant.