Moving Beyond 2% Uncertainty: A New Framework for Quantifying Lidar Uncertainty: NREL (National Renewable Energy Laboratory)

Jennifer Newman, Andrew Clifton

Research output: NRELPresentation

Abstract

Remote sensing of wind using lidar is revolutionizing wind energy. However, current generations of wind lidar are ascribed a climatic value of uncertainty, which is based on a poor description of lidar sensitivity to external conditions. In this presentation, we show how it is important to consider the complete lidar measurement process to define the measurement uncertainty, which in turn offers the ability to define a much more granular and dynamic measurement uncertainty. This approach is a progression from the 'white box' lidar uncertainty method.
Original languageAmerican English
Number of pages30
StatePublished - 2016

Publication series

NamePresented at the International Energy Agency (IEA) Wind Task 32 Workshop #4, 14 December 2016, Glasgow Scotland

NREL Publication Number

  • NREL/PR-5000-67642

Keywords

  • lidar
  • measurement uncertainty
  • uncertainty model
  • wind energy
  • wind turbine

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