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Erschienen in: Experiments in Fluids 3/2015

01.03.2015 | Research Article

Determination of real-time predictors of the wind turbine wake meandering

verfasst von: Yann-Aël Muller, Sandrine Aubrun, Christian Masson

Erschienen in: Experiments in Fluids | Ausgabe 3/2015

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Abstract

The present work proposes an experimental methodology to characterize the unsteady properties of a wind turbine wake, called meandering, and particularly its ability to follow the large-scale motions induced by large turbulent eddies contained in the approach flow. The measurements were made in an atmospheric boundary layer wind tunnel. The wind turbine model is based on the actuator disc concept. One part of the work has been dedicated to the development of a methodology for horizontal wake tracking by mean of a transverse hot wire rake, whose dynamic response is adequate for spectral analysis. Spectral coherence analysis shows that the horizontal position of the wake correlates well with the upstream transverse velocity, especially for wavelength larger than three times the diameter of the disc but less so for smaller scales. Therefore, it is concluded that the wake is actually a rather passive tracer of the large surrounding turbulent structures. The influence of the rotor size and downstream distance on the wake meandering is studied. The fluctuations of the lateral force and the yawing torque affecting the wind turbine model are also measured and correlated with the wake meandering. Two approach flow configurations are then tested: an undisturbed incoming flow (modelled atmospheric boundary layer) and a disturbed incoming flow, with a wind turbine model located upstream. Results showed that the meandering process is amplified by the presence of the upstream wake. It is shown that the coherence between the lateral force fluctuations and the horizontal wake position is significant up to length scales larger than twice the wind turbine model diameter. This leads to the conclusion that the lateral force is a better candidate than the upstream transverse velocity to predict in real time the meandering process, for either undisturbed (wake free) or disturbed incoming atmospheric flows.

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Literatur
Zurück zum Zitat Ainslie JP (1988) Calculating the flow field in the wake of wind turbines. J Wind Eng Ind Aerodyn 27:213–224CrossRef Ainslie JP (1988) Calculating the flow field in the wake of wind turbines. J Wind Eng Ind Aerodyn 27:213–224CrossRef
Zurück zum Zitat Aubrun S, Devinant P, España G (2007) Physical modelling of the far wake from wind turbines. Application to wind turbine interactions. In: Proceedings of the European wind energy conference, Milan, Italy Aubrun S, Devinant P, España G (2007) Physical modelling of the far wake from wind turbines. Application to wind turbine interactions. In: Proceedings of the European wind energy conference, Milan, Italy
Zurück zum Zitat Aubrun S, Loyer S, Hancock PE, Hayden P (2013) Wind turbine wake properties: comparison between a non-rotating simplified wind turbine model and a rotating model. J Wind Eng Ind Aerodyn 120:1–8CrossRef Aubrun S, Loyer S, Hancock PE, Hayden P (2013) Wind turbine wake properties: comparison between a non-rotating simplified wind turbine model and a rotating model. J Wind Eng Ind Aerodyn 120:1–8CrossRef
Zurück zum Zitat Bingöl F, Mann J, Larsen GC (2010) Light detection and ranging measurements of wake dynamics. Part 1: one-dimensional scanning. Wind Energy 13:51–61CrossRef Bingöl F, Mann J, Larsen GC (2010) Light detection and ranging measurements of wake dynamics. Part 1: one-dimensional scanning. Wind Energy 13:51–61CrossRef
Zurück zum Zitat Cannon S, Champagne F, Glezer A (1993) Observations of large-scale structures in wakes behind axisymmetric bodies. Exp Fluids 14(6):447–450CrossRef Cannon S, Champagne F, Glezer A (1993) Observations of large-scale structures in wakes behind axisymmetric bodies. Exp Fluids 14(6):447–450CrossRef
Zurück zum Zitat Chamorro LP, Hill C, Morton S, Ellis C, Arndt REA, Sotiropoulos F (2013) On the interaction between open channel flow and an axial-flow turbine. J Fluid Mech 716:658–670CrossRefMATH Chamorro LP, Hill C, Morton S, Ellis C, Arndt REA, Sotiropoulos F (2013) On the interaction between open channel flow and an axial-flow turbine. J Fluid Mech 716:658–670CrossRefMATH
Zurück zum Zitat Cholbrock AK, Fleming PA, Fingersh LJ, Wright AD, Schlipf D, Haizman F, Belen F (2013) Field testing LiDAR based feed-forward controls on the NREL controls advanced research turbine. Conference Paper NREL/CP-5000-57339 Cholbrock AK, Fleming PA, Fingersh LJ, Wright AD, Schlipf D, Haizman F, Belen F (2013) Field testing LiDAR based feed-forward controls on the NREL controls advanced research turbine. Conference Paper NREL/CP-5000-57339
Zurück zum Zitat Counihan J (1975) Adiabatic atmospheric boundary layers: a review and analysis of data from the period 1880–1972. Atmos Environ 9:871–905CrossRef Counihan J (1975) Adiabatic atmospheric boundary layers: a review and analysis of data from the period 1880–1972. Atmos Environ 9:871–905CrossRef
Zurück zum Zitat Davoust S, Jehu A, Bouillet M, Bardon M, Vercherin B, Scholbrock A, Fleming P, Wright A (2014) Assessment and optimization of LiDAR measurement availability for wind turbine control. In: Scientific. Proceedings of EWEA Conference March 10–13, 2014, Barcelona, Spain Davoust S, Jehu A, Bouillet M, Bardon M, Vercherin B, Scholbrock A, Fleming P, Wright A (2014) Assessment and optimization of LiDAR measurement availability for wind turbine control. In: Scientific. Proceedings of EWEA Conference March 10–13, 2014, Barcelona, Spain
Zurück zum Zitat Engineering Sciences Data Unit (1985) Characteristics of atmospheric turbulence near the ground. Item No. 85020 Engineering Sciences Data Unit (1985) Characteristics of atmospheric turbulence near the ground. Item No. 85020
Zurück zum Zitat España G, Aubrun S, Loyer S, Devinant P (2011) Spatial study of the wake meandering using modelled wind turbines in a wind tunnel. Wind Energy 14:923–937CrossRef España G, Aubrun S, Loyer S, Devinant P (2011) Spatial study of the wake meandering using modelled wind turbines in a wind tunnel. Wind Energy 14:923–937CrossRef
Zurück zum Zitat España G, Aubrun S, Loyer S, Devinant P (2012) Wind tunnel study of the wake meandering downstream of a modelled wind turbine as an effect of large scale turbulent eddies. J Wind Eng Ind Aerodyn 101:24–33CrossRef España G, Aubrun S, Loyer S, Devinant P (2012) Wind tunnel study of the wake meandering downstream of a modelled wind turbine as an effect of large scale turbulent eddies. J Wind Eng Ind Aerodyn 101:24–33CrossRef
Zurück zum Zitat Felli M, Camussi R, Di Felice F (2011) Mechanisms of evolution of the propeller wake in the transition and far fields. J Fluid Mech 682:5–53CrossRefMATH Felli M, Camussi R, Di Felice F (2011) Mechanisms of evolution of the propeller wake in the transition and far fields. J Fluid Mech 682:5–53CrossRefMATH
Zurück zum Zitat Frandsen S, Barthelmie R, Pryor S, Rathmann O, Larsen S, Højstrup J, Thøgersen M (2006) Analytical modelling of wind Speed deficit in large offshore wind farms. Wind Energy 9:39–53CrossRef Frandsen S, Barthelmie R, Pryor S, Rathmann O, Larsen S, Højstrup J, Thøgersen M (2006) Analytical modelling of wind Speed deficit in large offshore wind farms. Wind Energy 9:39–53CrossRef
Zurück zum Zitat Hancock PE, Pascheke F (2014) Wind tunnel simulation of the wake of a large wind turbine in a stable boundary layer: part 2 the wake flow. Bound Layer Meteorol 151:23–37CrossRef Hancock PE, Pascheke F (2014) Wind tunnel simulation of the wake of a large wind turbine in a stable boundary layer: part 2 the wake flow. Bound Layer Meteorol 151:23–37CrossRef
Zurück zum Zitat Hu H, Yang Z, Sarkar P (2012) Dynamic wind loads and wake characteristics of a wind turbine model in an atmospheric boundary layer wind. Exp Fluids 52:1277–1294CrossRef Hu H, Yang Z, Sarkar P (2012) Dynamic wind loads and wake characteristics of a wind turbine model in an atmospheric boundary layer wind. Exp Fluids 52:1277–1294CrossRef
Zurück zum Zitat Iungo GV, Viola F, Camarri S, Porté-Agel F, Gallaire F (2013) Linear stability analysis on wind turbine wakes performed on wind tunnel measurements. J Fluid Mech 737:499–526CrossRefMATH Iungo GV, Viola F, Camarri S, Porté-Agel F, Gallaire F (2013) Linear stability analysis on wind turbine wakes performed on wind tunnel measurements. J Fluid Mech 737:499–526CrossRefMATH
Zurück zum Zitat Jensen NO (1983) A note on wind generator interaction. Risø Report M-2411 Jensen NO (1983) A note on wind generator interaction. Risø Report M-2411
Zurück zum Zitat Kaimal JC, Finnigan JJ (1994) Atmospheric boundary layer flows, their structure and measurements. Oxford University Press, Oxford Kaimal JC, Finnigan JJ (1994) Atmospheric boundary layer flows, their structure and measurements. Oxford University Press, Oxford
Zurück zum Zitat Larsen GC, Madsen HA, Thomsen K, Larsen TJ (2008) Wake meandering—a pragmatic approach. Wind Energy 11:377–395CrossRef Larsen GC, Madsen HA, Thomsen K, Larsen TJ (2008) Wake meandering—a pragmatic approach. Wind Energy 11:377–395CrossRef
Zurück zum Zitat Larsen TJ, Madsen HA, Larsen GC, Hansen KS (2013) Validation of the dynamic wake meander model for loads and power production in the Egmond aan Zee wind farm. Wind Energy 16(4):605–624CrossRef Larsen TJ, Madsen HA, Larsen GC, Hansen KS (2013) Validation of the dynamic wake meander model for loads and power production in the Egmond aan Zee wind farm. Wind Energy 16(4):605–624CrossRef
Zurück zum Zitat Medici D, Alfredsson PH (2006) Measurements on a wind turbine wake: 3D effects and bluff body vortex shedding. Wind Energy 9:219–236CrossRef Medici D, Alfredsson PH (2006) Measurements on a wind turbine wake: 3D effects and bluff body vortex shedding. Wind Energy 9:219–236CrossRef
Zurück zum Zitat Snyder WH (1981) Guideline for fluid modelling of atmospheric diffusion. US Environmental Protection Agency. Report EPA-600/8-81-009 Snyder WH (1981) Guideline for fluid modelling of atmospheric diffusion. US Environmental Protection Agency. Report EPA-600/8-81-009
Zurück zum Zitat Taylor GJ, Milborrow DJ, McIntosh DN, Swift-Hook DT (1985) Wake measurements on the Nibe windmills. In: Proceedings of the 7th British wind energy association conference March 27–29 1985, Oxford Taylor GJ, Milborrow DJ, McIntosh DN, Swift-Hook DT (1985) Wake measurements on the Nibe windmills. In: Proceedings of the 7th British wind energy association conference March 27–29 1985, Oxford
Zurück zum Zitat Trujillo JJ, Kühn M (2009) Adaptation of a lagrangian dispersion model for wind turbine wake meandering. In: Proceedings of the EWEA conference, March 16–19, Marseille, France Trujillo JJ, Kühn M (2009) Adaptation of a lagrangian dispersion model for wind turbine wake meandering. In: Proceedings of the EWEA conference, March 16–19, Marseille, France
Zurück zum Zitat Trujillo JJ, Bingöl F, Larsen GC, Mann J (2011) Light detection and ranging measurements on wake dynamics, part II: two-dimensional Scanning. Wind Energy 14:61–75CrossRef Trujillo JJ, Bingöl F, Larsen GC, Mann J (2011) Light detection and ranging measurements on wake dynamics, part II: two-dimensional Scanning. Wind Energy 14:61–75CrossRef
Zurück zum Zitat VDI guideline 3783/12 (2000) Physical modelling of flow and dispersion processes in the atmospheric boundary layer—application for wind tunnels. Beuth Verlag, Berlin VDI guideline 3783/12 (2000) Physical modelling of flow and dispersion processes in the atmospheric boundary layer—application for wind tunnels. Beuth Verlag, Berlin
Zurück zum Zitat Zhang W, Markfort CD, Porté-Agel F (2012) Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer. Exp Fluids 52:1219–1235CrossRef Zhang W, Markfort CD, Porté-Agel F (2012) Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer. Exp Fluids 52:1219–1235CrossRef
Zurück zum Zitat Zhang W, Markfort CD, Porté-Agel F (2013) Wind turbine wakes in a convective boundary layer: wind tunnel study. Bound Layer Meteorol 146:161–179CrossRef Zhang W, Markfort CD, Porté-Agel F (2013) Wind turbine wakes in a convective boundary layer: wind tunnel study. Bound Layer Meteorol 146:161–179CrossRef
Metadaten
Titel
Determination of real-time predictors of the wind turbine wake meandering
verfasst von
Yann-Aël Muller
Sandrine Aubrun
Christian Masson
Publikationsdatum
01.03.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Experiments in Fluids / Ausgabe 3/2015
Print ISSN: 0723-4864
Elektronische ISSN: 1432-1114
DOI
https://doi.org/10.1007/s00348-015-1923-9

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