GEMINI: High Fidelity Modeling for Small Wind Turbine
FEAC will take advantage of the HPC infrastructure to predict the aerodynamic performance of wind turbines and provide accurate results in a reduced time. Based on EUNICE’s needs, the development of an accurate numerical model aims at the optimization of operational performance noise reduction.
Start date: 01/06/2021
Duration in months: 18
Problem Description
Wind energy is rapidly growing, requiring increased efficiency and cost-effectiveness. To reduce research expenses, FEAC Engineering P.C. aims to construct a precise numerical model of EUNICE's EW16 Thetis wind turbine, leveraging its expertise in simulation.
Goals
New services
Challenges
the accurate prediction of temporal and spatial scales within the multiscale CFD model requires advanced meshing techniques and high resolution numerical models. Such simulations necessitate significant computational resources and know-how which exceed the computing capacity of EUNICE.
Innovation results
Partners developed CFD simulation models using HPC to optimize wind turbine performance. They used 485,000 CPU hours and satellite data to gather detailed data on turbine performance. The simulations employed the Detached Eddy Simulation method. The results were validated using experimental data.
Business impact
Tests by HPC simulation can reduce the testing costs by up to 83% compared to a typical physical test installation, increase competitiveness by faster design cycles, lower operational expenditure leading to levelized cost of electricity, assist the EU towards a green and sustainable future.