Wake Dynamics of Wind Turbines for Various Operating Conditions.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Abstract

Wind turbines traditionally operate as "greedy individuals", but more and more research now explore possibilities of controlling wind turbines to improve performance of entire wind farms. Two main approaches have usually been investigated, namely induction based control and wake steering control. The former aims to decrease the wake deficit, whereas the latter aims to improve the performance of subsequent turbines by deflecting the wake away from the next turbine. The wake dynamics are investigated for different control scenarios to elucidate on how and why the performance of the next turbines could potentially improve. The wind turbine and its wake is modelled using EllipSys3D(Michelsen, 1992, and Sørensen, 1995), where large eddy simulation is fully coupled to the aero-elastic tool, Flex5(Øye, 1996) through the actuator line method(Sørensen and Shen, 2002). Various statistical measures as well as proper orthogonal decomposition(POD) is used to analyse the dynamics and large coherent structures of the turbulent wakes.
Original languageEnglish
Publication date2018
Publication statusPublished - 2018
Event71st Annual Meeting of the APS Division of Fluid Dynamics - Georgia World Congress Center , Atlanta, United States
Duration: 18 Nov 201820 Nov 2018

Conference

Conference71st Annual Meeting of the APS Division of Fluid Dynamics
LocationGeorgia World Congress Center
CountryUnited States
CityAtlanta
Period18/11/201820/11/2018

Cite this

Andersen, S. J. (2018). Wake Dynamics of Wind Turbines for Various Operating Conditions.. Abstract from 71st Annual Meeting of the APS Division of Fluid Dynamics , Atlanta, United States.
Andersen, Søren Juhl. / Wake Dynamics of Wind Turbines for Various Operating Conditions. Abstract from 71st Annual Meeting of the APS Division of Fluid Dynamics , Atlanta, United States.
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abstract = "Wind turbines traditionally operate as {"}greedy individuals{"}, but more and more research now explore possibilities of controlling wind turbines to improve performance of entire wind farms. Two main approaches have usually been investigated, namely induction based control and wake steering control. The former aims to decrease the wake deficit, whereas the latter aims to improve the performance of subsequent turbines by deflecting the wake away from the next turbine. The wake dynamics are investigated for different control scenarios to elucidate on how and why the performance of the next turbines could potentially improve. The wind turbine and its wake is modelled using EllipSys3D(Michelsen, 1992, and S{\o}rensen, 1995), where large eddy simulation is fully coupled to the aero-elastic tool, Flex5({\O}ye, 1996) through the actuator line method(S{\o}rensen and Shen, 2002). Various statistical measures as well as proper orthogonal decomposition(POD) is used to analyse the dynamics and large coherent structures of the turbulent wakes.",
author = "Andersen, {S{\o}ren Juhl}",
year = "2018",
language = "English",
note = "71st Annual Meeting of the APS Division of Fluid Dynamics ; Conference date: 18-11-2018 Through 20-11-2018",

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Andersen, SJ 2018, 'Wake Dynamics of Wind Turbines for Various Operating Conditions.' 71st Annual Meeting of the APS Division of Fluid Dynamics , Atlanta, United States, 18/11/2018 - 20/11/2018, .

Wake Dynamics of Wind Turbines for Various Operating Conditions. / Andersen, Søren Juhl.

2018. Abstract from 71st Annual Meeting of the APS Division of Fluid Dynamics , Atlanta, United States.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

TY - ABST

T1 - Wake Dynamics of Wind Turbines for Various Operating Conditions.

AU - Andersen, Søren Juhl

PY - 2018

Y1 - 2018

N2 - Wind turbines traditionally operate as "greedy individuals", but more and more research now explore possibilities of controlling wind turbines to improve performance of entire wind farms. Two main approaches have usually been investigated, namely induction based control and wake steering control. The former aims to decrease the wake deficit, whereas the latter aims to improve the performance of subsequent turbines by deflecting the wake away from the next turbine. The wake dynamics are investigated for different control scenarios to elucidate on how and why the performance of the next turbines could potentially improve. The wind turbine and its wake is modelled using EllipSys3D(Michelsen, 1992, and Sørensen, 1995), where large eddy simulation is fully coupled to the aero-elastic tool, Flex5(Øye, 1996) through the actuator line method(Sørensen and Shen, 2002). Various statistical measures as well as proper orthogonal decomposition(POD) is used to analyse the dynamics and large coherent structures of the turbulent wakes.

AB - Wind turbines traditionally operate as "greedy individuals", but more and more research now explore possibilities of controlling wind turbines to improve performance of entire wind farms. Two main approaches have usually been investigated, namely induction based control and wake steering control. The former aims to decrease the wake deficit, whereas the latter aims to improve the performance of subsequent turbines by deflecting the wake away from the next turbine. The wake dynamics are investigated for different control scenarios to elucidate on how and why the performance of the next turbines could potentially improve. The wind turbine and its wake is modelled using EllipSys3D(Michelsen, 1992, and Sørensen, 1995), where large eddy simulation is fully coupled to the aero-elastic tool, Flex5(Øye, 1996) through the actuator line method(Sørensen and Shen, 2002). Various statistical measures as well as proper orthogonal decomposition(POD) is used to analyse the dynamics and large coherent structures of the turbulent wakes.

M3 - Conference abstract for conference

ER -

Andersen SJ. Wake Dynamics of Wind Turbines for Various Operating Conditions.. 2018. Abstract from 71st Annual Meeting of the APS Division of Fluid Dynamics , Atlanta, United States.