Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-353-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-3-353-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jun 2018
Research article |
| 08 Jun 2018
| 08 Jun 2018
From lidar scans to roughness maps for wind resource modelling in forested areas
Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark
Peter Enevoldsen
Center for Energy Technologies, Aarhus University, Aarhus, Denmark
Envision Energy, Silkeborg, Denmark
Neil Davis
Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark
Johan Arnqvist
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Ebba Dellwik
Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark
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20 citations as recorded by crossref.
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- Socio-technical constraints in German wind power planning: An example of the failed interdisciplinary challenge for academia F. Permien & P. Enevoldsen 10.1016/j.erss.2019.04.021
- Estimating wind conditions in forests using roughness lengths: A matter of data input P. Enevoldsen 10.1177/0309524X19849849
- Estimating Air Density Using Observations and Re-Analysis Outputs for Wind Energy Purposes R. Floors & M. Nielsen 10.3390/en12112038
- Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend M. Nazir et al. 10.3390/su12093778
- The making of the New European Wind Atlas – Part 1: Model sensitivity A. Hahmann et al. 10.5194/gmd-13-5053-2020
- Variation in Zero Plane Displacement and Roughness Length for Momentum Revisited A. Kunadi et al. 10.1007/s10546-024-00876-8
- Enhancing compound flood simulation accuracy and efficiency in urbanized coastal areas using hybrid meshes and modified digital elevation model E. Hamidi et al. 10.1016/j.scs.2025.106184
- A sensitivity study of the WRF model in offshore wind modeling over the Baltic Sea H. Li et al. 10.1016/j.gsf.2021.101229
- Østerild: A natural laboratory for atmospheric turbulence A. Peña 10.1063/1.5121486
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Latest update: 08 Aug 2025
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.
Applying erroneous boundary conditions (surface roughness) for wind flow modelling can have a...
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