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",
publisher = "European Wind Energy Association (EWEA)",
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",

}

RIS

TY - GEN

T1 - Wind farm production estimates

A1 - Larsen,Torben J.

A1 - Larsen,Gunner Chr.

A1 - Aagaard Madsen ,Helge

A1 - Hansen,Kurt Schaldemose

AU - Larsen,Torben J.

AU - Larsen,Gunner Chr.

AU - Aagaard Madsen ,Helge

AU - Hansen,Kurt Schaldemose

PB - European Wind Energy Association (EWEA)

PY - 2012

Y1 - 2012

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

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

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

T2 - Proceedings of EWEA 2012 - European Wind Energy Conference & Exhibition

ER -