IEA INTERNATIONAL ENERGY AGENCY PHOTOVOLTAIC POWER SYSTEMS PROGRAMME Operating agent: Jan REMUND Head of Energy & Climate, Meteotest, Switzerland Prof. Philippe BLANC Yves-Marie SAINT-DRENAN MINES ParisTech Center Observation, Impacts, Energy IEA PVPS Task 16 Solar resource for high penetration and large scale applications
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IEA PVPS Task 16 Solar resource for high penetration and ... · – Satellite based solar resource assessment – Solar forecasts • Modelling: – Definition of circumsolar radiation
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IEA INTERNATIONAL ENERGY AGENCY
PHOTOVOLTAIC POWER SYSTEMS PROGRAMME
Operating agent: Jan REMUND
Head of Energy & Climate, Meteotest, Switzerland
Prof. Philippe BLANC
Yves-Marie SAINT-DRENAN
MINES ParisTech
Center Observation, Impacts, Energy
IEA PVPS Task 16
Solar resource for high penetration and large
scale applications
IEA INTERNATIONAL ENERGY AGENCY
PHOTOVOLTAIC POWER SYSTEMS PROGRAMME
Background of PVPS Task 16
• International Energy Agency (IEA)
Technology Collaboration Programmes (TCP)
used as backing organization
• Formalised way of international collaboration
• Participants are confirmed by states
• Three solar programmes involved:
• Solar Heating and Cooling (SHC)
• SolarPACES (solar chemistry and
concentrating solar power)
• PV power systems (PVPS)
• Duration: 2017-2020 (extented to 2023)
IEA INTERNATIONAL ENERGY AGENCY
PHOTOVOLTAIC POWER SYSTEMS PROGRAMME
IEA SHC Task 36/46
• 2005 – 2016, lead by Dave Renne (NREL, ISES)
• Best Practices Handbook for the Collection and Use of Solar Resource Data
for Solar Energy Applications (2015)
http://www.nrel.gov/docs/fy15osti/63112.pdf
• New version 2018
Best Practices Handbook for the Collection and Use of Solar Resource Data
for Solar Energy Applications: Second Edition
https://www.nrel.gov/docs/fy18osti/68886.pdf
• Benchmarks:
– Satellite based solar resource assessment
– Solar forecasts
• Modelling:
– Definition of circumsolar radiation and DNI
– Integration of ground measurements with model derived data
– Spatio-temporal variability of solar resource with respect time and space aggregation