As the penetration of PV increases, improved accuracy and finer spatial and temporal resolution of solar data sets are needed to optimize the performance of these technologies in the energy system of a region or country.
International collaboration and consensus on developing and managing these data sets will expedite the high penetration of solar technologies, and improve markets for these technologies. Large scale PV plants now need accurate resource and forecast data due to high investment costs. Therefore Task participants will focus on the following two scientific issues:
High frequency variability and high quality needs are also important issues for the planning and the operation of Concentrating Solar Thermal facilities and CPV, which will be a focus of the Task as well. In addition, the development of bankable data sets for system sizing and accurate continuous data sets for performance evaluation are important to Solar Heating and Cooling technologies, and will also be a focus of this task.
The main goals of Task 16 are to lower barriers and costs of grid integration of PV and lowering planning and investment costs for PV by enhancing the quality of the forecasts and the resources assessments. To reach this main goal the Task has the following objectives:
As the scope of Task 16 is also directly linked to Concentrating Solar Power and solar thermal installations the collaboration with the two TCPs dealing with these topics is of great importance. IEA PVPS Task 16 will be a joint Task with IEA SolarPACES and will keep minimal collaboration with IEA SHC.
The work programme of the proposed Task 16 addresses on one side scientific meteorological and climatological issues to high penetration and large scale PV in electricity networks, but also includes a strong focus on user needs and for the first time a special dissemination subTask. Dissemination and user interaction are foreseen in many different ways from workshops and webinars to paper and reports.
The project requires the involvement of key players in solar resource assessment and forecasting at the scientific level (universities and research institutions) and commercial level (companies). A consortium of 53 institutions of 21 countries has been formed. This includes large science centres like DLR, NREL or Fraunhofer, universities like State Univ. of New York, Mines ParisTech or Univ. of Jaen, national weather services like DWD, BOM or DMI and data providers like Solargis, Vaisala or Meteotest.
Ground based methods
Numerical weather models (NWP)
Data quality & format
Merging of satellite, NWP and ground data
Spatio-temporal high variability
Long-term inter-annual variability
Products for the end-users
Value of solar power forecasts
Regional solar power forecasting
Variability forecasting and probabilistic forecasting
Develop a Task Brochure
Create a 6-month Task Newsletter
Conduct periodic (annual) SubTask-level webinars and/or conference presentations
Update of the solar resource handbook