Aarhus University Develops New Smart Flow Models

Researchers from Aarhus University aim to enable the use of data-driven deep learning models for wind farm flow simulations, optimization and control, making them more energy-efficient; the project is backed by the Independent Research Fund Denmark

The ever-increasing size of wind turbines, with blade span exceeding 160 meters and heights of more than 220 meters, requires more and more attention to accurately modeling the atmospheric turbulent flow through wind farms in order to optimize the energy output of the giant rotors. Over the past two decades, numerical simulations of wind farms using computational fluid dynamics (CFD) have received a great deal of attention. Although high-fidelity numerical techniques can provide detailed information about... ... More: Official Press Release Aarhus University

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Aarhus University, researchers, model, flow simulation, control, turbine, deep learning, offshore, energy-efficient, simulation, project, Denmark