Computational Fluid Dynamics (CFD) modelling is heavily relied upon in the wind energy sector, it recognises that the use of basic CFD introduces uncertainty and risk into projections for power production and maintenance.
From this recognition, The Simulated Wake Effects Platform for Turbines (SWEPT2) project developed a new CFD capability for wind turbine modelling, with validation and benchmarking completed utilising High Performance Computing (HPC).
When building a complex digital product, not only is there a need to push the boundary of simulation to increase confidence but also remove barriers to deeper understanding. This new CFD capability has improved the wind energy sector and is freely available for academic use and can be utilised across multiple industries.
CFMS led the use of Artificial Intelligence (AI) technology to deliver insights from the large volumes of data produced. These datasets included a range of wind directions, terrain maps and full CFD fields, which supported the project with the development of the new CFD technology, ultimately reducing costs within the wind energy sector.
While the SWEPT2 project focuses on the wind energy sector’s requirements, this approach can be applied to other industries. If you would like more information about how our digital engineering and computing technologies can support your organisation, get in contact today.