Simulating coastal effects on an offshore wind farm

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Abstract

Wind turbine wakes can cause energy losses in wind farms1 and their effect needs to be modeled in order to design energy efficient wind farm layouts. Wake losses in offshore wind farms are often modeled by assuming offshore conditions for all wind directions; however, many offshore wind farms are build in the vicinity of a coastline. In this study, we simulate the effect of the Danish Peninsula Djursland on the Anholt offshore wind farm, using a Reynolds-averaged Navier-Stokes (RANS) setup.2 The coastline is modeled as a roughness change, the wind turbines are represented by actuator disks and a neutral atmospheric boundary layer including Coriolis forces is employed. For westerly and south westerly winds, the distance from the coastline to the Anholt wind farm varies between 15 and 50 km, which causes a horizontal wind speed gradient that results in a variation in wind turbine power along the north-south
oriented rows. This effect is visible in RANS, as plotted in Figure 1 and is also
observed in SCADA data provided by DONG Energy. The wind resources at the wind farm and the power deficits, calculated by RANS, are compared with mesoscale simulations and SCADA data, respectively.
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

@conference{dafb76c41cc74ba2a78b983a33581af5,
title = "Simulating coastal effects on an offshore wind farm",
abstract = "Wind turbine wakes can cause energy losses in wind farms1 and their effect needs to be modeled in order to design energy efficient wind farm layouts. Wake losses in offshore wind farms are often modeled by assuming offshore conditions for all wind directions; however, many offshore wind farms are build in the vicinity of a coastline. In this study, we simulate the effect of the Danish Peninsula Djursland on the Anholt offshore wind farm, using a Reynolds-averaged Navier-Stokes (RANS) setup.2 The coastline is modeled as a roughness change, the wind turbines are represented by actuator disks and a neutral atmospheric boundary layer including Coriolis forces is employed. For westerly and south westerly winds, the distance from the coastline to the Anholt wind farm varies between 15 and 50 km, which causes a horizontal wind speed gradient that results in a variation in wind turbine power along the north-southoriented rows. This effect is visible in RANS, as plotted in Figure 1 and is alsoobserved in SCADA data provided by DONG Energy. The wind resources at the wind farm and the power deficits, calculated by RANS, are compared with mesoscale simulations and SCADA data, respectively.",
author = "{van der Laan}, Paul and {Pena Diaz}, Alfredo and Patrick Volker and Hansen, {Kurt Schaldemose} and S{\o}rensen, {Niels N.} and S{\o}ren Ott and Hasager, {Charlotte Bay} 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/",

}

van der Laan, P, Pena Diaz, A, Volker, P, Hansen, KS, Sørensen, NN, Ott, S, Hasager, CB & Hasager, CB 2017, 'Simulating coastal effects on an offshore wind farm' Wind Energy Science Conference 2017, Lyngby, Denmark, 26/06/2017 - 29/06/2017, .

Simulating coastal effects on an offshore wind farm. / van der Laan, Paul; Pena Diaz, Alfredo; Volker, Patrick; Hansen, Kurt Schaldemose; Sørensen, Niels N.; Ott, Søren; Hasager, Charlotte Bay; 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 - Simulating coastal effects on an offshore wind farm

AU - van der Laan, Paul

AU - Pena Diaz, Alfredo

AU - Volker, Patrick

AU - Hansen, Kurt Schaldemose

AU - Sørensen, Niels N.

AU - Ott, Søren

AU - Hasager, Charlotte Bay

AU - Hasager, Charlotte Bay

PY - 2017

Y1 - 2017

N2 - Wind turbine wakes can cause energy losses in wind farms1 and their effect needs to be modeled in order to design energy efficient wind farm layouts. Wake losses in offshore wind farms are often modeled by assuming offshore conditions for all wind directions; however, many offshore wind farms are build in the vicinity of a coastline. In this study, we simulate the effect of the Danish Peninsula Djursland on the Anholt offshore wind farm, using a Reynolds-averaged Navier-Stokes (RANS) setup.2 The coastline is modeled as a roughness change, the wind turbines are represented by actuator disks and a neutral atmospheric boundary layer including Coriolis forces is employed. For westerly and south westerly winds, the distance from the coastline to the Anholt wind farm varies between 15 and 50 km, which causes a horizontal wind speed gradient that results in a variation in wind turbine power along the north-southoriented rows. This effect is visible in RANS, as plotted in Figure 1 and is alsoobserved in SCADA data provided by DONG Energy. The wind resources at the wind farm and the power deficits, calculated by RANS, are compared with mesoscale simulations and SCADA data, respectively.

AB - Wind turbine wakes can cause energy losses in wind farms1 and their effect needs to be modeled in order to design energy efficient wind farm layouts. Wake losses in offshore wind farms are often modeled by assuming offshore conditions for all wind directions; however, many offshore wind farms are build in the vicinity of a coastline. In this study, we simulate the effect of the Danish Peninsula Djursland on the Anholt offshore wind farm, using a Reynolds-averaged Navier-Stokes (RANS) setup.2 The coastline is modeled as a roughness change, the wind turbines are represented by actuator disks and a neutral atmospheric boundary layer including Coriolis forces is employed. For westerly and south westerly winds, the distance from the coastline to the Anholt wind farm varies between 15 and 50 km, which causes a horizontal wind speed gradient that results in a variation in wind turbine power along the north-southoriented rows. This effect is visible in RANS, as plotted in Figure 1 and is alsoobserved in SCADA data provided by DONG Energy. The wind resources at the wind farm and the power deficits, calculated by RANS, are compared with mesoscale simulations and SCADA data, respectively.

M3 - Conference abstract for conference

ER -

van der Laan P, Pena Diaz A, Volker P, Hansen KS, Sørensen NN, Ott S et al. Simulating coastal effects on an offshore wind farm. 2017. Abstract from Wind Energy Science Conference 2017, Lyngby, Denmark.