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P.M.O. Gebraad

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19 records found

Conference paper (2017) - Sjoerd Boersma, Bart Doekemeijer, Pieter Gebraad, P.A. Fleming, J. Annoni, A.K. Scholbrock, Joeri Frederik, Jan-Willem van Wingerden
Wind turbines are often sited together in wind farms as it is economically advantageous. However, the wake inevitably created by every turbine will lead to a time-varying interaction between the individual turbines. Common practice in industry has been to control turbines individually and ignore this interaction while optimizing the power and loads of the individual turbines. However, turbines that are in a wake experience reduced wind speed and increased turbulence, leading to a reduced energy extraction and increased dynamic mechanical loads on the turbine, respectively. Neglecting the dynamic interaction between turbines in control will therefore lead to suboptimal behaviour of the total wind farm. Therefore, wind farm control has been receiving an increasing amount of attention over the past years, with the focus on increasing the total power production and reducing the dynamic loading on the turbines. In this paper, wind farm control-oriented modeling and control concepts are explained. In addition, recent developments and literature are discussed and categorized. This paper can serve as a source of background information and provides many references regarding control-oriented modeling and control of wind farms. ...
Review (2016) - Gijs van Kuik, Joachim Peinke, Henk Polinder, Asger Bech Abrahamsen, Gerard van Bussel, John Dalsgaard Sørensen, Peter Tavner, Carlo Botasso, Michael Muskulus, Denis Matha, Han Lindeboom, Steven Degraer, Rogier Nijssen, Oliver Kramer, Sebastian Lehnhoff, Michael Sonnenschein, Poul Ejnar Sørensen, Rolf Kunneke, Poul Erik Morthorst, Klaus Skytte, Denja Lekou, Jakob Mann, Jens Nørkær Sørensen, Carlos Simao Ferreira, Jan-Willem van Wingerden, David Schlipf, Pieter Gebraad
The European Academy of Wind Energy (eawe), representing universities and institutes with a significant wind energy programme in 14 countries, has discussed the long-term research challenges in wind energy. In contrast to research agendas addressing short- to medium-term research activities, this eawe document takes a longer-term perspective, addressing the scientific knowledge base that is required to develop wind energy beyond the applications of today and tomorrow. In other words, this long-term research agenda is driven by problems and curiosity, addressing basic research and fundamental knowledge in 11 research areas, ranging from physics and design to environmental and societal aspects. Because of the very nature of this initiative, this document does not intend to be permanent or complete. It shows the vision of the experts of the eawe, but other views may be possible. We sincerely hope that it will spur an even more intensive discussion worldwide within the wind energy community. ...
Conference paper (2016) - S. Boersma, P. M O Gebraad, M. Vali, B. M. Doekemeijer, J. W. Van Wingerden
In this paper, we present and extend the dynamic medium fidelity control-oriented Wind Farm Simulator (WFSim) model. WFSim resolves flow fields in wind farms in a horizontal, two dimensional plane. It is based on the spatially and temporally discretised two dimensional Navier-Stokes equations and the continuity equation and solves for a predefined grid and wind farm topology. The force on the flow field generated by turbines is modelled using actuator disk theory. Sparsity in system matrices is exploited in WFSim, which enables a relatively fast flow field computation. The extensions to WFSim we present in this paper are the inclusion of a wake redirection model, a turbulence model and a linearisation of the nonlinear WFSim model equations. The first is important because it allows us to carry out wake redirection control and simulate situations with an inflow that is misaligned with the rotor plane. The wake redirection model is validated against a theoretical wake centreline known from literature. The second extension makes WFSim more realistic because it accounts for wake recovery. The amount of recovery is validated using a high fidelity simulation model Simulator fOr Wind Farm Applications (SOWFA) for a two turbine test case. Finally, a linearisation is important since it allows the application of more standard analysis, observer and control techniques. ...
Book chapter (2016) - J. W. van Wingerden, David Schlipf, P. Gebraad
The industry’s primary goal for state-of-the-art wind turbine controllers is to maximise the energy capture while keeping the turbine within its operational limits, such as maximum rotor speed or maximum power, which is limited by the generator capacity. To guarantee a reliable operation over the turbine’s lifetime, the structural loads need to be kept within their design limits. In the turbine and controller design process, an increase in energy is evaluated against higher loads; the result is that designers usually make specifications that increase material costs. ...
Journal article (2015) - P Fleming, PMO Gebraad, S Lee, JW van Wingerden, K Johnson, M Churchfield, J Michalakes, P Spalart, P Moriarty
Conference paper (2014) - PA Fleming, PMO Gebraad, MJ Churchfield, JW van Wingerden, AK Scholbrock, PJ Moriarty
Conference paper (2014) - PMO Gebraad, FW Teeuwisse, JW van Wingerden, PA Fleming, SD Ruben, JR Marden, L.Y Pao
Journal article (2014) - PA Fleming, PMO Gebraad, S Lee, JW van Wingerden, K Johnson, M Churchfield, J Michalakes, P Spalart, P Moriarty
Report (2013) - P Fleming, PMO Gebraad, M Churchfield, S Lee, K Johnson, J Michalakes, JW van Wingerden, P Moriarty
Conference paper (2013) - P Fleming, PMO Gebraad, JW van Wingerden, S Lee, M Churchfield, AK Scholbrock, J Michalakes, K Johnson, P Moriarty