Welcome to FarmConners Wind Farm Control Benchmark for code comparison!

Careful validation of the modelling and control actions is of vital importance to build confidence in the value of coordinated wind farm control (WFC). The efficiency of flow models applied to WFC should be evaluated to provide reliable assessment of the performance of WFC. In order to achieve that, the FarmConners project launches a common benchmark for code comparison to demonstrate the potential benefits of WFC, such as increased power production and mitigation of loads.

The online recording of the benchmark launch can be watched here.

The benchmark repository is located here.

The comparison of the WFC model results for the defined test cases will first be presented in WESC 2021 and then sent for publication in co-authorship with all the benchmark participants. Therefore, the participants are expected to upload their results latest 31/12/2020. All the registered participants will receive a link to a personalised cloud folder to update their results.

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The benchmark builds on available data sets from previous and ongoing campaigns: synthetic data from high-fidelity simulations, measurements from wind tunnel experiments, and field data from a real wind farm, see Provided Data Sets.

The participating WFC models are first to be calibrated or trained using normal operation periods. For the blind test, both the axial induction and wake steering control approaches are included in the dataset and to be evaluated through the designed test cases. Three main test cases are specified, addressing the impact of WFC on single full wake, single partial wake, and multiple full wake, see Test Cases.

The WFC model outcomes will be compared during the blind test phase, through power gain and wake loss reduction as well as alleviation of wake-added turbulence intensity and structural loads. The probabilistic validation will be based on the median and quartiles of the observations and WFC model predictions of the Quantities of Interest.

Every benchmark participant will be involved in the final publication, where the comparison of different tools will be performed using the defined test cases. Instructions on how to participate are provided on How to Participate.

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The FarmConners project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 857844.