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Project

Modelling of Self-Induced Atmospheric Gravity Waves in Large-Scale Wind Farms

The research concentrates on the development of improved high-fidelity modelling of wind farms, and its use to study meso-scale feedback effects on wind-farm operation, such as wind-farm induced gravity waves.To this end, the large-eddy simulation solver SP-Wind (developed at the TFSO group over the last 15 years) is used to investigate the effects of thermal stratification above the atmospheric boundary layer on wind-farm power production, with special care for the non-reflecting boundary conditions. Next to that, the PhD also focuses on the development of fast wind-farm models, such as analytical wake models, that can be used for wind-farm design and control. Development and validation of these models is based on large-eddy simulation results, SCADA and lidar data available in the literature. Finally, these fast wind-farm models together with an in-house atmospheric perturbation model are used to study wind-farm design and improve wind-farm control given dominant offshore wind conditions in the North-Sea region.

Date:24 Oct 2018 →  19 Sep 2023
Keywords:wind farm, gravity waves, fluid mechanics
Disciplines:Manufacturing engineering, Safety engineering, Mechanics, Mechatronics and robotics, Thermodynamics, Electrical power engineering, Energy generation, conversion and storage engineering
Project type:PhD project