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Remote Sens. 2018, 10(1), 59;

Wind in Complex Terrain—Lidar Measurements for Evaluation of CFD Simulations

Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
Meventus AS, 4630 Kristiansand, Norway
Fraunhofer-Institute for Wind Energy and Energy System Technology, IWES, 26129 Oldenburg, Germany
Author to whom correspondence should be addressed.
Received: 13 November 2017 / Revised: 21 December 2017 / Accepted: 28 December 2017 / Published: 4 January 2018
(This article belongs to the Special Issue Remote Sensing of Atmospheric Conditions for Wind Energy Applications)
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Computational Fluid Dynamics (CFD) is widely used to predict wind conditions for wind energy production purposes. However, as wind power development expands into areas of even more complex terrain and challenging flow conditions, more research is needed to investigate the ability of such models to describe turbulent flow features. In this study, the performance of a hybrid Reynolds-Averaged Navier-Stokes (RANS)/Large Eddy Simulation (LES) model in highly complex terrain has been investigated. The model was compared with measurements from a long range pulsed Lidar, which first were validated with sonic anemometer data. The accuracy of the Lidar was considered to be sufficient for validation of flow model turbulence estimates. By reducing the range gate length of the Lidar a slight additional improvement in accuracy was obtained, but the availability of measurements was reduced due to the increased noise floor in the returned signal. The DES model was able to capture the variations of velocity and turbulence along the line-of-sight of the Lidar beam but overestimated the turbulence level in regions of complex flow. View Full-Text
Keywords: detached eddy simulation; turbulence; Lidar; range gate length detached eddy simulation; turbulence; Lidar; range gate length

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Risan, A.; Lund, J.A.; Chang, C.-Y.; Sætran, L. Wind in Complex Terrain—Lidar Measurements for Evaluation of CFD Simulations. Remote Sens. 2018, 10, 59.

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