Mitigating adverse wake effects in a wind farm using non-optimum operational conditions

Research output: Research - peer-reviewJournal article – Annual report year: 2016

Without internal affiliation

  • Author: Kazda, Jonas

    Swiss Federal Institute of Technology Zurich

  • Author: Zendehbad, M.

    Swiss Federal Institute of Technology Zurich, Switzerland

  • Author: Jafari, Saeid

    Swiss Federal Institute of Technology Zurich

  • Author: Chokani, N.

    Swiss Federal Institute of Technology Zurich, Switzerland

  • Author: Abhari, R. S.

    Swiss Federal Institute of Technology Zurich, Switzerland

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Non-optimum operation of wind turbines is used in wind farm control to mitigate adverse wake effects, which result in a lower annual energy yield of wind farms. The current study investigates an operational strategy where upstream turbines are operated at non-optimum conditions thereby weakening the wakes. This approach is demonstrated for an existing wind farm in complex terrain. The computational fluid dynamics method allows the atmospheric flow and wakes, as well as their interaction with the terrain, to be accurately and simultaneously simulated. For a given wind direction, a 12.5% reduction relative to optimum in the power coefficient of an upstream turbine results in a 2.5% increase of the sum power production of the upstream and downstream turbine. The non-optimum operation can be accomplished with a 3.5 degrees change in the blade pitch angle of the upstream turbine. The demonstrated approach in this work is thus well suited for the development of more advanced and complex operational strategies for other existing wind farms. (C) 2016 Elsevier Ltd. All rights reserved.
Original languageEnglish
JournalJournal of Wind Engineering and Industrial Aerodynamics
Volume154
Pages (from-to)76-83
ISSN0167-6105
DOIs
StatePublished - 2016
Externally publishedYes
CitationsWeb of Science® Times Cited: 2

    Research areas

  • ENGINEERING, MECHANICS, TURBINES, OPTIMIZATION, POWER, LOAD, Wind farm control, CFD, Complex terrain, Operational optimization, Array loss, Applied fluid mechanics, Wakes, General fluid dynamics theory, simulation and other computational methods, Power and plant engineering (mechanical engineering), Mechanical components, Fluid mechanics and aerodynamics (mechanical engineering), blades, computational fluid dynamics, wakes, wind power plants, wind turbines, adverse wake effects, wind farm, nonoptimum operational conditions, energy yield, upstream turbines, computational fluid dynamics method, atmospheric flow, upstream turbine, sum power production, blade pitch angle, Renewable Energy, Sustainability and the Environment, Civil and Structural Engineering, Mechanical Engineering, Atmospheric movements, Computational fluid dynamics, Landforms, Turbomachine blades, Wind power, Wind turbines, Complex terrains, Computational fluid dynamics methods, Operational conditions, Operational strategies, Optimum conditions, Power coefficients, Wind farm, Electric utilities
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