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Classification of control-oriented models for wind farm control applications

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type , Conference object , Article 01 Jan 2018 English Publisher:ZenodoFunded by:EC | CL-Windcon

Authors: Raach, Steffen; Campagnolo, Filippo; Ramamurthy, Bharath Kodiyala; Kern, Stefan; Boersma, Sjoerd; Doekemeijer, Bart; van Wingerden, Jan-Willem; +9 Authors

doi: 10.5281/zenodo.3463222 , 10.5281/zenodo.3463221

Classification of control-oriented models for wind farm control applications

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Abstract

This deliverable deals with the classification and the analysis of the wake models set in the CL-Windcon project. The wake models of task 1.2 are classified with respect to their capabilities with various aspects. First, the deliverable gives a general overview on each model as well as a written classification description. The document shows different aspects of validation and tuning of the models. Calibration and parameter tuning are described in detail with the FLORIS and the WFSim model. A sensitivity study is performed using the FAST.Farm model analyzing the impact and uncertainty of different parameters. Then the validation with simulation and wind tunnel data is shown and furthermore, the validation of the reduced-order POD models are performed. In the last chapter several models are compared in a blind test with field-testing data to emphasize the predictability of the wake shape under realistic conditions of the wake models. Altogether various aspects of the models are stated and their capabilities are evaluated and compared.

Related Organizations

Delft University of Technology
Netherlands
Aalborg University
Denmark

Keywords

Wind flow modelling, wind farm control, CFD, LES, SOWFA, FLORIS, FAST.Farm, WFSim

2 Research products, page 1 of 1

FLORIS software on GitHub
IsRelatedTo
FLORISSE_M software on GitHub
IsRelatedTo

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