Articles | Volume 3, issue 1
Wind Energ. Sci., 3, 353–370, 2018
Wind Energ. Sci., 3, 353–370, 2018
Research article
08 Jun 2018
Research article | 08 Jun 2018

From lidar scans to roughness maps for wind resource modelling in forested areas

Rogier Floors et al.

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Cited articles

American Society for Photogrammetry & Remote Sensing: Las Specification Version 1.3 – R11, Tech. rep., American Society for Photogrammetry & Remote Sensing, 2010.
Arnqvist, J., Segalini, A., Dellwik, E., and Bergström, H.: Wind Statistics from a Forested Landscape, Bound.-Lay. Meteorol., 156, 53–71,, 2015.
Bontemps, S., Defourny, P., Bogaert, E. V., Kalogirou, V., and Perez, J. R.: GLOBCOVER 2009 Products Description and Validation Report, ESA Bulletin, 136, 52 pp.,, 2011.
Boudreault, L.-É., Bechmann, A., Tarvainen, L., Klemedtsson, L., Shendryk, I., and Dellwik, E.: A LiDAR method of canopy structure retrieval for wind modeling of heterogeneous forests, Agr. Forest Meteorol., 201, 86–97,, 2015.
Boudreault, L.-É., Dupont, S., Bechmann, A., and Dellwik, E.: How Forest Inhomogeneities Affect the Edge Flow, Bound.-Lay. Meteorol., 162, 375–400,, 2017.
Short summary
Applying erroneous boundary conditions (surface roughness) for wind flow modelling can have a large impact on the estimated performance of wind turbines, particularly in forested areas. Traditionally the estimation of the surface roughness is based on a subjective process that requires assigning a value to each land use class in the vicinity of the wind farm. Here we propose a new method which converts lidar scans from a plane into maps that can be used for wind flow modelling.