Analysis of Anholt offshore wind farm SCADA measurements

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Abstract

SCADA measurements from the Danish Anholt offshore wind farm (ANH) for a period of 2½ years have been qualified. ANH covers 12 km × 22 km and is located between Djursland and the island Anholt in Kattegat, Denmark. This qualification encompasses identification of curtailment and idling periods, start/stop events and a power curve control for each wind turbine in the wind farm. Data also include wind speed measurements from a nearby WindCube lidar and simulations from the WRF model for the same period as the SCADA. An equivalent wind speed (wsi) is derived from the combined power and pitch signals for each wind turbine. Furthermore, the local wind direction is derived for a number of wake-free turbine groups. By combining the wsi and wind direction,the undisturbed wind speed and direction inflow conditions of the wind farm (Upark and WDpark) are estimated for all 360 degrees.
The preliminary analysis reveals a significant wind gradient along the North-South direction for the western row of the wind farm – for westerly inflow, together with a distinct wind speed reduction caused by coastal effects. Figure 1 shows how the coast influences the wind speed gradient along the western row of turbines. Furthermore, a minor wind speed reduction is identified for easterly inflow, caused by the island Anholt. The internal wake effects are small, due to the large “variable” spacing based on the arch-based layout compared to other wind farms.
A comparison between simulated WRF and measured wind speeds shows good correlation. The power deficit along the rows of turbines demonstrates a significant difference between unstable and stable conditions.
Original languageEnglish
Publication date2017
Publication statusPublished - 2017
EventWind Energy Science Conference 2017 - Lyngby, Denmark
Duration: 26 Jun 201729 Jun 2017
http://www.wesc2017.org/
http://www.wesc2017.org/

Conference

ConferenceWind Energy Science Conference 2017
CountryDenmark
CityLyngby
Period26/06/201729/06/2017
Internet address

Cite this

Hansen, K. S., Volker, P., Pena Diaz, A., van der Laan, P., Ott, S., & Hasager, C. B. (2017). Analysis of Anholt offshore wind farm SCADA measurements. Abstract from Wind Energy Science Conference 2017, Lyngby, Denmark.
@conference{8757a08a3fd741dc8ce79390f2752e7c,
title = "Analysis of Anholt offshore wind farm SCADA measurements",
abstract = "SCADA measurements from the Danish Anholt offshore wind farm (ANH) for a period of 2½ years have been qualified. ANH covers 12 km × 22 km and is located between Djursland and the island Anholt in Kattegat, Denmark. This qualification encompasses identification of curtailment and idling periods, start/stop events and a power curve control for each wind turbine in the wind farm. Data also include wind speed measurements from a nearby WindCube lidar and simulations from the WRF model for the same period as the SCADA. An equivalent wind speed (wsi) is derived from the combined power and pitch signals for each wind turbine. Furthermore, the local wind direction is derived for a number of wake-free turbine groups. By combining the wsi and wind direction,the undisturbed wind speed and direction inflow conditions of the wind farm (Upark and WDpark) are estimated for all 360 degrees.The preliminary analysis reveals a significant wind gradient along the North-South direction for the western row of the wind farm – for westerly inflow, together with a distinct wind speed reduction caused by coastal effects. Figure 1 shows how the coast influences the wind speed gradient along the western row of turbines. Furthermore, a minor wind speed reduction is identified for easterly inflow, caused by the island Anholt. The internal wake effects are small, due to the large “variable” spacing based on the arch-based layout compared to other wind farms.A comparison between simulated WRF and measured wind speeds shows good correlation. The power deficit along the rows of turbines demonstrates a significant difference between unstable and stable conditions.",
author = "Hansen, {Kurt Schaldemose} and Patrick Volker and {Pena Diaz}, Alfredo and {van der Laan}, Paul and S{\o}ren Ott and Hasager, {Charlotte Bay}",
year = "2017",
language = "English",
note = "Wind Energy Science Conference 2017, WESC-2017 ; Conference date: 26-06-2017 Through 29-06-2017",
url = "http://www.wesc2017.org/, http://www.wesc2017.org/",

}

Hansen, KS, Volker, P, Pena Diaz, A, van der Laan, P, Ott, S & Hasager, CB 2017, 'Analysis of Anholt offshore wind farm SCADA measurements', Wind Energy Science Conference 2017, Lyngby, Denmark, 26/06/2017 - 29/06/2017.

Analysis of Anholt offshore wind farm SCADA measurements. / Hansen, Kurt Schaldemose; Volker, Patrick; Pena Diaz, Alfredo; van der Laan, Paul; Ott, Søren; Hasager, Charlotte Bay.

2017. Abstract from Wind Energy Science Conference 2017, Lyngby, Denmark.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Analysis of Anholt offshore wind farm SCADA measurements

AU - Hansen, Kurt Schaldemose

AU - Volker, Patrick

AU - Pena Diaz, Alfredo

AU - van der Laan, Paul

AU - Ott, Søren

AU - Hasager, Charlotte Bay

PY - 2017

Y1 - 2017

N2 - SCADA measurements from the Danish Anholt offshore wind farm (ANH) for a period of 2½ years have been qualified. ANH covers 12 km × 22 km and is located between Djursland and the island Anholt in Kattegat, Denmark. This qualification encompasses identification of curtailment and idling periods, start/stop events and a power curve control for each wind turbine in the wind farm. Data also include wind speed measurements from a nearby WindCube lidar and simulations from the WRF model for the same period as the SCADA. An equivalent wind speed (wsi) is derived from the combined power and pitch signals for each wind turbine. Furthermore, the local wind direction is derived for a number of wake-free turbine groups. By combining the wsi and wind direction,the undisturbed wind speed and direction inflow conditions of the wind farm (Upark and WDpark) are estimated for all 360 degrees.The preliminary analysis reveals a significant wind gradient along the North-South direction for the western row of the wind farm – for westerly inflow, together with a distinct wind speed reduction caused by coastal effects. Figure 1 shows how the coast influences the wind speed gradient along the western row of turbines. Furthermore, a minor wind speed reduction is identified for easterly inflow, caused by the island Anholt. The internal wake effects are small, due to the large “variable” spacing based on the arch-based layout compared to other wind farms.A comparison between simulated WRF and measured wind speeds shows good correlation. The power deficit along the rows of turbines demonstrates a significant difference between unstable and stable conditions.

AB - SCADA measurements from the Danish Anholt offshore wind farm (ANH) for a period of 2½ years have been qualified. ANH covers 12 km × 22 km and is located between Djursland and the island Anholt in Kattegat, Denmark. This qualification encompasses identification of curtailment and idling periods, start/stop events and a power curve control for each wind turbine in the wind farm. Data also include wind speed measurements from a nearby WindCube lidar and simulations from the WRF model for the same period as the SCADA. An equivalent wind speed (wsi) is derived from the combined power and pitch signals for each wind turbine. Furthermore, the local wind direction is derived for a number of wake-free turbine groups. By combining the wsi and wind direction,the undisturbed wind speed and direction inflow conditions of the wind farm (Upark and WDpark) are estimated for all 360 degrees.The preliminary analysis reveals a significant wind gradient along the North-South direction for the western row of the wind farm – for westerly inflow, together with a distinct wind speed reduction caused by coastal effects. Figure 1 shows how the coast influences the wind speed gradient along the western row of turbines. Furthermore, a minor wind speed reduction is identified for easterly inflow, caused by the island Anholt. The internal wake effects are small, due to the large “variable” spacing based on the arch-based layout compared to other wind farms.A comparison between simulated WRF and measured wind speeds shows good correlation. The power deficit along the rows of turbines demonstrates a significant difference between unstable and stable conditions.

M3 - Conference abstract for conference

ER -

Hansen KS, Volker P, Pena Diaz A, van der Laan P, Ott S, Hasager CB. Analysis of Anholt offshore wind farm SCADA measurements. 2017. Abstract from Wind Energy Science Conference 2017, Lyngby, Denmark.