Preprints
https://doi.org/10.5194/wes-2022-5
https://doi.org/10.5194/wes-2022-5
 
15 Feb 2022
15 Feb 2022
Status: this preprint is currently under review for the journal WES.

FarmConners Wind Farm Flow Control Benchmark: Blind Test Results

Tuhfe Göçmen1, Filippo Campagnolo2, Thomas Duc3, Irene Eguinoa6, Søren Juhl Andersen1, Vlaho Petrović4, Lejla Imširović2, Robert Braunbehrens2, Ju Feng1, Jaime Liew1, Mads Baungaard1, Maarten Paul van der Laan1, Guowei Qian5, Maria Aparicio-Sanchez6, Rubén González-Lope6, Vinit Dighe7, Marcus Becker7, Maarten van den Broek7, Jan-Willem van Wingerden7, Adam Stock8, Matthew Cole8, Renzo Ruisi9, Ervin Bossanyi9, Niklas Requate10, Simon Strnad10, Jonas Schmidt10, Lukas Vollmer10, Frédéric Blondel11, Ishaan Sood12, and Johan Meyers12 Tuhfe Göçmen et al.
  • 1DTU Wind Energy, Technical University of Denmark, Lyngby/Roskilde, Denmark
  • 2Technical University Munich, Munich, Germany
  • 3ENGIE Green, Montpellier, France
  • 4ForWind, University of Oldenburg, Oldenburg, Germany
  • 5The University of Tokyo, Tokyo, Japan
  • 6CENER (Centro Nacional de Energías Renovables), Sarriguren, Spain
  • 7Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands
  • 8University of Strathclyde, Glasgow, Scotland
  • 9DNV, Group Research & Development, Bristol, United Kingdom
  • 10Fraunhofer IWES, Bremerhaven, Germany
  • 11IFP Energies nouvelles (IFPEN), Rueil-Malmaison, France
  • 12Mechanical Engineering, KU Leuven, Celestijnenlaan 300, Leuven 3001, Belgium

Abstract. Wind farm flow control (WFFC) is a topic of interest at several research institutes, industry and certification agencies world-wide. For reliable performance assessment of the technology, the efficiency and the capability of the models applied to WFFC should be carefully evaluated. To address that, FarmConners consortium has launched a common benchmark for code comparison under controlled operation to demonstrate its potential benefits such as increased power production. The benchmark builds on available data sets from previous field campaigns, wind tunnel experiments and high-fidelity simulations. Within that database, 4 blind tests are defined and 13 participants in total have submitted results for the analysis of single and multiple wake under WFFC. Some participants took part in several blind tests and some participants have implemented several models. The observations and/or the model outcomes are evaluated via direct power comparisons at the upstream and downstream turbine(s), as well as the power gain at the wind farm level under wake steering control strategy. Additionally, wake loss reduction is also analysed to support the power performance comparison, where relevant. Majority of the participating models show good agreement with the observations or the reference high-fidelity simulations, especially for lower degrees of upstream misalignment and narrow wake sector. However, the benchmark clearly highlights the importance of the calibration procedure for control-oriented models. The potential effects of limited controlled operation data in calibration is particularly visible via frequent model mismatch for highly deflected wakes, as well as the power loss at the controlled turbine(s). In addition to the flow modelling, sensitivity of the predicted WFFC benefits to the turbine representation and the implementation of the controller is also underlined. FarmConners benchmark is the first of its kind to bring a wide variety of data sets, control settings and model complexities for the (initial) assessment of farm flow control benefits. It forms an important basis for more detailed benchmarks in the future with extended control objectives to assess the true value of WFFC.

Tuhfe Göçmen et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2022-5', Anonymous Referee #1, 04 Apr 2022
  • RC2: 'Comment on wes-2022-5', Anonymous Referee #2, 15 May 2022

Tuhfe Göçmen et al.

Tuhfe Göçmen et al.

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Short summary
FarmConners benchmark is the first of its kind to bring a wide variety of data sets, control settings and model complexities for the (initial) assessment of wind farm flow control benefits. Here we present the analysis of the benchmark results under 4 blind tests with 13 participants and 16 models in total, via the direct power comparisons at the turbines, as well as the observed or estimated power gain at the wind farm level under wake steering control strategy.