FarmConners wind farm flow control benchmark – Part 1: Blind test results

作者：T. Göçmen, F. Campagnolo, T. Duc, I. Eguinoa, Søren Juhl Andersen, V. Petrović, Lejla Imširović, R. Braunbehrens, J. Liew, M. Baungaard, M. P. van der Laan, Guowei Qian, M. Aparicio-Sanchez, Rubén González-Lope, V. Dighe, M. Becker, M. J. van den Broek, J. van Wingerden, Adam Stock, M. Cole, R. Ruisi, E. Bossanyi, Niklas Requate, S. Strnad, Jonas Schmidt, L. Vollmer, I. Sood, J. Meyers · 发表于：Wind Energy Science · 年份：2022 · DOI：10.5194/wes-7-1791-2022 · 被引用次数：24

Abstract. Wind farm flow control (WFFC) is a topic of interest at several research institutes and industry and certification agencies worldwide. 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, the 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, four blind tests are defined and 13 participants in total have submitted results for the analysis of single and multiple wakes under WFFC. Here, we present Part I of the FarmConners benchmark results, focusing on the blind tests with large-scale rotors. 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. The 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 cal...