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DTSTART:20240331T030000
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DTSTAMP:20261023T183047Z
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DTSTART;TZID=Europe/Madrid:20240321T173000
DTEND;TZID=Europe/Madrid:20240321T183000
DESCRIPTION:The Resource Assessment 4 session combines three different view
 s and approaches to estimating energy production and losses\, showing how 
 powerful and versatile the resource assessment toolbox is. The audience wi
 ll first learn to assess the variability of wind speed and annual energy p
 roduction using a polynomial surrogate based on the Polynomial Chaos Expan
 sion (PCE) to quantify uncertainty\, requiring only a few CFD simulations.
  Examples of complex terrain are given with selected examples of forested 
 areas. This low-cost computational approach is followed by the opposite. A
  massive multi-GPU large eddy simulation of the North Sea Offshore Wind En
 ergy Scenario 2050 will show how the wake effects of large wind farm clust
 ers affect vertical mixing\, wind climate as well as clouds\, rain and tem
 peratures. The final part will show how SCADA data and machine learning ca
 n be used to estimate wake-free turbine production to assess wake losses i
 n operating wind farms.\n\nSee the latest information and speakers details
  for this session here:\nhttps://windeurope.org/annual2024/conference/sess
 ions/resource-assessment-pt4/
LOCATION:Luxua 1
ORGANIZER;CN=WindEurope Conference:mailto:conference@windeurope.org
SUMMARY:WindEurope Annual Event 2024 - Resource assessment Part 4
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DESCRIPTION:Resource assessment Part 4 session starts in 30 minutes
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