From Bankability to Reliability (IEA PVPS Task 13)
Jointly organised with IEA PVPS Task 13
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.
16:20 - 16:45 Panel Discussion: From bankability to reliability
David Moser, EURA Research, Italy
Karl-Anders Weiss, Fraunhofer ISE, Germany
Franz Baumgartner, ZHAW, Switzerland
Ulrike Jahn, VDE Renewables, Germany
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.