Articles | Volume 3, issue 2
https://doi.org/10.5194/wes-3-533-2018
© 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-3-533-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Aug 2018
Research article |
| 16 Aug 2018
| 16 Aug 2018
From standard wind measurements to spectral characterization: turbulence length scale and distribution
Wind Energy Department, Risø Lab./Campus, Danish Technical
University, Roskilde 4000, Denmark
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21 citations as recorded by crossref.
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- Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design M. Kelly 10.5194/wes-10-535-2025
- Turbulence in a coastal environment: the case of Vindeby R. Putri et al. 10.5194/wes-7-1693-2022
- Gabor mode enrichment in large eddy simulations of turbulent flow A. Ghate & S. Lele 10.1017/jfm.2020.622
- On the extension of streamwise turbulence intensity profile beyond the atmospheric surface layer under neutral to unstable stratifications M. Mataji 10.1016/j.jweia.2022.105100
- Turbulence structure in a boundary layer wind tunnel X. Wang et al. 10.1063/5.0246592
- Understanding the Impact of Turbulence on Floating Lidar Measurements A. Salcedo-Bosch et al. 10.1109/TGRS.2025.3586298
- Departure from Flux-Gradient Relation in the Planetary Boundary Layer P. Santos et al. 10.3390/atmos12060672
- Extreme wind fluctuations: joint statistics, extreme turbulence, and impact on wind turbine loads Á. Hannesdóttir et al. 10.5194/wes-4-325-2019
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- Metocean conditions at two Norwegian sites for development of offshore wind farms E. Cheynet et al. 10.1016/j.renene.2024.120184
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- From wind to loads: wind turbine site-specific load estimation with surrogate models trained on high-fidelity load databases N. Dimitrov et al. 10.5194/wes-3-767-2018
- Powering the 21st century by wind energy—Options, facts, figures K. Rohrig et al. 10.1063/1.5089877
21 citations as recorded by crossref.
- Statistical impact of wind-speed ramp events on turbines, via observations and coupled fluid-dynamic and aeroelastic simulations M. Kelly et al. 10.5194/wes-6-1227-2021
- A Motion-Correction Method for Turbulence Estimates from Floating Lidars A. Peña et al. 10.3390/rs14236065
- Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design M. Kelly 10.5194/wes-10-535-2025
- Turbulence in a coastal environment: the case of Vindeby R. Putri et al. 10.5194/wes-7-1693-2022
- Gabor mode enrichment in large eddy simulations of turbulent flow A. Ghate & S. Lele 10.1017/jfm.2020.622
- On the extension of streamwise turbulence intensity profile beyond the atmospheric surface layer under neutral to unstable stratifications M. Mataji 10.1016/j.jweia.2022.105100
- Turbulence structure in a boundary layer wind tunnel X. Wang et al. 10.1063/5.0246592
- Understanding the Impact of Turbulence on Floating Lidar Measurements A. Salcedo-Bosch et al. 10.1109/TGRS.2025.3586298
- Departure from Flux-Gradient Relation in the Planetary Boundary Layer P. Santos et al. 10.3390/atmos12060672
- Extreme wind fluctuations: joint statistics, extreme turbulence, and impact on wind turbine loads Á. Hannesdóttir et al. 10.5194/wes-4-325-2019
- FAST.Farm load validation for single wake situations at alpha ventus M. Kretschmer et al. 10.5194/wes-6-1247-2021
- Metocean conditions at two Norwegian sites for development of offshore wind farms E. Cheynet et al. 10.1016/j.renene.2024.120184
- Optimal Design of a Hybrid Energy System for the Supply of Clean and Stable Energy to Offshore Installations L. Riboldi et al. 10.3389/fenrg.2020.607284
- Invariant discovery of features across multiple length scales: Applications in microscopy and autonomous materials characterization A. Raghavan et al. 10.1063/5.0233070
- Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields K. Yassin et al. 10.5194/wes-8-1133-2023
- Østerild: A natural laboratory for atmospheric turbulence A. Peña 10.1063/1.5121486
- Computational fluid dynamics studies on wind turbine interactions with the turbulent local flow field influenced by complex topography and thermal stratification P. Letzgus et al. 10.5194/wes-7-1551-2022
- How realistic are the wakes of scaled wind turbine models? C. Wang et al. 10.5194/wes-6-961-2021
- On the lidar-turbulence paradox and possible countermeasures A. Peña et al. 10.5194/wes-10-83-2025
- From wind to loads: wind turbine site-specific load estimation with surrogate models trained on high-fidelity load databases N. Dimitrov et al. 10.5194/wes-3-767-2018
- Powering the 21st century by wind energy—Options, facts, figures K. Rohrig et al. 10.1063/1.5089877
Latest update: 25 Oct 2025
Short summary
This paper shows how a definitive part of the commonly used Mann (1994) atmospheric turbulence model (its so-called eddy lifetime) implies that the model parameters can be directly related to typical measurements in wind energy projects. Most importantly, the characteristic turbulence length scale is found in terms of commonly measured (10 min mean) quantities (shear and standard deviation of wind speed); this estimator is found to give useful results, over different sites and flow regimes.
This paper shows how a definitive part of the commonly used Mann (1994) atmospheric turbulence...
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