Hostname: page-component-6766d58669-h8lrw Total loading time: 0 Render date: 2026-05-20T13:51:32.372Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Published online by Cambridge University Press:  30 May 2014

E. Jeannotte ,
C. Masson ,
D. Faghani ,
M. Boquet ,
B. Boucher  and
E. Osler
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:e.jeannotte@gmail.com
Get access

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.

Keywords

LiDARcomplex terrainOpenFOAMLiDARterrain complexeOpen FOAM

Information

Type
Research Article
Information
Mechanics & Industry , Volume 15 , Issue 3 , 2014 , pp. 169 - 174
Copyright
© AFM, EDP Sciences 2014

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

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) 503–515 CrossRefGoogle Scholar
Brodeur, P., Numerical site calibration over complex terrain, J. Solar Energy Eng. 130 (2006) 1–12 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) 145–153 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