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Estimation of LiDAR error over complex terrain covered withforest using numerical tools

Published online by Cambridge University Press:  30 May 2014

E. Jeannotte*
Affiliation:
École de Technologie Supérieure (ETS), Montreal, QC, Canada
C. Masson
Affiliation:
École de Technologie Supérieure (ETS), Montreal, QC, Canada
D. Faghani
Affiliation:
DNV GL, Montreal, QC, Canada
M. Boquet
Affiliation:
Leosphere, Orsay, France
B. Boucher
Affiliation:
TechnoCentre Éolien, Gaspé, QC, Canada
E. Osler
Affiliation:
NRG Systems Inc., Hinesburg, VT, USA
*
a Corresponding author:[email protected]
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Abstract

Since a few years, a new wind measurement instrument has been competing with standard cupanemometers: the LiDAR. The performances of this instrument over complex terrain are stilla matter of debate and this is mainly due to the flow homogeneity assumption made by theinstrument. In this work, the error caused by this hypothesis was evaluated with the helpof OpenFOAM 1.7, MeteoDyn WT 4.0 and WAsP Engineering for a LiDAR deployed on a complexsite covered with dense forest. The assessment of the CFD model firstly revealed thesignificant impact of both the location and nature of the inlet boundary condition.Despite the presence of terrain complexity within a radius of 340 m around the remotesensor, an averaged error of less than 3% was observed, suggesting that the LiDAR is onlyaffected by topographic variations in the immediate vicinity of the scanned volume.

Type
Research Article
Copyright
© AFM, EDP Sciences 2014

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References

IEC 61400-12-1, Wind turbines – Part 12-1: Power performance measurements of electricity producing wind turbines, 2005
K. Briggs, T. Rogers, M. Young, Methods for Correcting Lidar Measurements in Complex Flow Conditions. March 2011, EWEA Conference
F. Bingöl, J. Mann, D. Foussekis, Modeling conically scanning lidar error in complex terrain with WAsP Engineering, 2008. Project UpWind:DELIVERABLE D6.6.1
P. Gómez Arranz, Measurements in complex terrain using a lidar, 2011, Project UpWind:DELIVERABLE D6.6.2.
Dalpe, B., Masson, C., Numerical study of fully developed turbulent flow within and above a dense forest. Wind Energy 11 (2011) 503515 CrossRefGoogle Scholar
Brodeur, P., Numerical site calibration over complex terrain, J. Solar Energy Eng. 130 (2006) 112 Google Scholar
Celik, Ismail B., Ghia, Urmila, Roache, Patrick J., Freitas, Christopher J., Coleman, Hugh and Raad, Peter E., Procedure for Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications. J. Fluids Eng. 130 (2008) 078001 Google Scholar
Richards, P.J., Hoxey, R.P., Appropriate boundary conditions for computational wind engineering models using the k-ϵ turbulence model. J. Wind Eng. Ind. Aerodyn. 46-47 (1993) 145153 CrossRefGoogle Scholar
Lussier-Clément, Nicolas, Développement d’outil, par simulation numérique, d’aide à la décision pour le positionnement des éoliennes en terrain complexe. Master’s thesis, École de Technologie Supérieure, 2012