HiFiWake - Enabling High-fidelity Wind Farm Modelling for Industrial Applications

The complexity of Northern European wind conditions and new grid requirements for wind farm control challenge the state of industrial wind farm modelling. High-fidelity large-eddy simulation (LES) is considered the most accurate tool for such modelling tasks. However, the immense computational demand of the method limits the use of LES to fundamental academic studies. The lattice Boltzmann method (LBM) states an alternative to classical LES approaches and offers a significantly higher computational efficiency.  

 
Purpose and goal 

This project will close remaining gaps in the wind-energy-specific modelling capabilities of LBM models. The resulting LBM framework will finally bridge the gap between academic high-fidelity modelling and the industrial practice. This holds the potential for notable uncertainty reductions in power and load estimation that will directly benefit a resource and cost-efficwind power development. The goal of the project is to develop and validate a GPU (Graphic Processor Unit)-based LBM-LES (Lattice-Boltzmann Method - Large Eddy Simulation) model as a basis for a new wind farm modelling framework.