Wind farm production estimates

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Standard

Wind farm production estimates. / Larsen, Torben J.; Larsen, Gunner Chr.; Aagaard Madsen , Helge; Hansen, Kurt Schaldemose.

Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition. European Wind Energy Association (EWEA), 2012.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Harvard

Larsen, TJ, Larsen, GC, Aagaard Madsen , H & Hansen, KS 2012, Wind farm production estimates. in Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition. European Wind Energy Association (EWEA).

APA

Larsen, T. J., Larsen, G. C., Aagaard Madsen , H., & Hansen, K. S. (2012). Wind farm production estimates. In Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition European Wind Energy Association (EWEA).

CBE

Larsen TJ, Larsen GC, Aagaard Madsen H, Hansen KS. 2012. Wind farm production estimates. In Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition. European Wind Energy Association (EWEA).

MLA

Larsen, Torben J. et al. "Wind farm production estimates". Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition. European Wind Energy Association (EWEA). 2012.

Vancouver

Larsen TJ, Larsen GC, Aagaard Madsen H, Hansen KS. Wind farm production estimates. In Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition. European Wind Energy Association (EWEA). 2012.

Author

Larsen, Torben J.; Larsen, Gunner Chr.; Aagaard Madsen , Helge; Hansen, Kurt Schaldemose / Wind farm production estimates.

Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition. European Wind Energy Association (EWEA), 2012.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Bibtex

@inbook{76d06edd3f8e4216bf68f20f403436fd,
title = "Wind farm production estimates",
author = "Larsen, {Torben J.} and Larsen, {Gunner Chr.} and {Aagaard Madsen}, Helge and Hansen, {Kurt Schaldemose}",
year = "2012",
booktitle = "Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition",
publisher = "European Wind Energy Association (EWEA)",

}

RIS

TY - GEN

T1 - Wind farm production estimates

AU - Larsen,Torben J.

AU - Larsen,Gunner Chr.

AU - Aagaard Madsen ,Helge

AU - Hansen,Kurt Schaldemose

PY - 2012

Y1 - 2012

N2 - In this paper, the Dynamic Wake Meandering (DWM) model is applied for simulation of wind farm production. In addition to the numerical simulations, measured data have been analyzed in order to provide the basis for a full-scale verification of the model performance. The basic idea behind the DWMmodel is to model the in- stationary wind farm flow characteristics by considering wind turbine wakes as passive tracers continuously emitted from the wind farm turbines each with a downstream transport pro- cess dictated by large scale turbulent eddies (lateral and ver- tical transportation; i.e. meandering) and Taylor advection. For the present purpose, the DWM model has been im- plemented in the aeroelastic code HAWC2 [1], and the per- formance of the resulting model complex is mainly verified by comparing simulated and measured loads for the Dutch off-shore Egmond aan Zee wind farm [2]. This farm consists of 36 Vestas V90 turbine located outside the coast of the Netherlands. The simulations in this paper were done with a modified version of HAWC2 only including aerodynamics and a rigid rotor in order to reduce the simulation time. With this code a 10min simulation takes approximately 1 minute on a 3GHz pc. The turbine controller is fully implemented. Initially, production estimates of a single turbine under free and wake conditions, respectively, are compared for (undis- turbed) mean wind speeds ranging from 3m/s to 25m/s. The undisturbed situation refers to a wind direction bin defined as 270◦ ±5◦, whereas the wake situation refers to the wind direction bin 319◦ ±5◦. In the latter case, the investigated turbine operated in the wake of 6 upstream turbines, with the mean wind direction being equal to the orientation of the wind turbine row. The production of the entire wind farm has been inves- tigated for a full polar (i.e. as function of mean inflow wind direction). This investigation relates to a mean wind speed bin defined as 8m=s±1m=s. The impact of ambient turbu- lence intensity and turbine inter spacing on the production of a wind turbine operating under full wake conditions is investi- gated. Four different turbine inter spacings, ranging between 3.8 and 10.4 rotor diameters, are analyzed for ambient turbu- lence intensities varying between 2% and 20%. This analysis is based on full scale production data from three other wind farms Wieringermeer [3], Horns Rev [4] and Nysted [5]. A very satisfactory agreement between experimental data and predictions is observed. This paper finally includes additionally an analysis of the production impact caused by atmospheric stability effects. For this study, atmospheric stability conditions are defined in terms of the Monin-Obukhov length. Three different stability classes, including stable, neutral and unstable atmospheric stratification, have been investigated.

AB - In this paper, the Dynamic Wake Meandering (DWM) model is applied for simulation of wind farm production. In addition to the numerical simulations, measured data have been analyzed in order to provide the basis for a full-scale verification of the model performance. The basic idea behind the DWMmodel is to model the in- stationary wind farm flow characteristics by considering wind turbine wakes as passive tracers continuously emitted from the wind farm turbines each with a downstream transport pro- cess dictated by large scale turbulent eddies (lateral and ver- tical transportation; i.e. meandering) and Taylor advection. For the present purpose, the DWM model has been im- plemented in the aeroelastic code HAWC2 [1], and the per- formance of the resulting model complex is mainly verified by comparing simulated and measured loads for the Dutch off-shore Egmond aan Zee wind farm [2]. This farm consists of 36 Vestas V90 turbine located outside the coast of the Netherlands. The simulations in this paper were done with a modified version of HAWC2 only including aerodynamics and a rigid rotor in order to reduce the simulation time. With this code a 10min simulation takes approximately 1 minute on a 3GHz pc. The turbine controller is fully implemented. Initially, production estimates of a single turbine under free and wake conditions, respectively, are compared for (undis- turbed) mean wind speeds ranging from 3m/s to 25m/s. The undisturbed situation refers to a wind direction bin defined as 270◦ ±5◦, whereas the wake situation refers to the wind direction bin 319◦ ±5◦. In the latter case, the investigated turbine operated in the wake of 6 upstream turbines, with the mean wind direction being equal to the orientation of the wind turbine row. The production of the entire wind farm has been inves- tigated for a full polar (i.e. as function of mean inflow wind direction). This investigation relates to a mean wind speed bin defined as 8m=s±1m=s. The impact of ambient turbu- lence intensity and turbine inter spacing on the production of a wind turbine operating under full wake conditions is investi- gated. Four different turbine inter spacings, ranging between 3.8 and 10.4 rotor diameters, are analyzed for ambient turbu- lence intensities varying between 2% and 20%. This analysis is based on full scale production data from three other wind farms Wieringermeer [3], Horns Rev [4] and Nysted [5]. A very satisfactory agreement between experimental data and predictions is observed. This paper finally includes additionally an analysis of the production impact caused by atmospheric stability effects. For this study, atmospheric stability conditions are defined in terms of the Monin-Obukhov length. Three different stability classes, including stable, neutral and unstable atmospheric stratification, have been investigated.

M3 - Article in proceedings

BT - Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition

PB - European Wind Energy Association (EWEA)

ER -