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Modeling Uncertainties of Wind Field Reconstruction Using Lidar
Author(s) -
David Schlipf,
Martín Koch,
Steffen Raach
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1452/1/012088
Subject(s) - nacelle , lidar , wind speed , wind power , environmental science , meteorology , wind profile power law , measurement uncertainty , field (mathematics) , marine engineering , computer science , turbine , remote sensing , aerospace engineering , geology , engineering , physics , mathematics , electrical engineering , quantum mechanics , pure mathematics
The use of nacelle-based lidar systems for power performance testing of wind turbines is promising. Here, the knowledge of uncertainties is crucial. Wind field reconstruction is necessary to estimate wind field characteristics such as horizontal wind speed and wind direction from line-of-sight wind speed measurements using a wind flow model. In this work, two types of uncertainties in this process are investigated and confirmed in simulation: the uncertainty caused by measurement errors and by modeling errors. Based on this first investigation, the modeling uncertainty is exceeding the measurement uncertainty.

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