Optimization and forecast for wind industry
Neurocomputing offers the highest level in the use of computational fluid dynamics to evaluate wind farms performance, with particular application to micrositing of wind turbines and the determination of energy concentrators across the emplacement.
Our experience in modeling physical processes and measuring meteorological parameters allows us to optimize the layout of sites, reducing its environmental impact, the effect of terrain on the wind turbines and maximizing the exploitation of the wind resource.
Improving the wind farm layout
Our team can model wind
farms located on high roughness terrains and calculate the fluid flow at
machines' wake. We can determine the spatial distribution of turbulent
intensity and its dynamics through the fluid field and along the whole site. We
can include wind parameters into fluid flow simulations according adjusted
p.d.f.
Aerodynamic of solid surfaces
We perform numerical
simulations of boundary layer dynamics for aerodynamic coefficients
calculation. Our team can optimize the momentum and power coefficients as
reducing the startup speed. Our codes can also perform aeroelastic numerical
simulations of wind turbine's blades. Reduced scale prototypes of new designs
can be tested in wind tunnel.
Statistical processing of large wind databases
Neurocomputing
specializes in the analysis of correlations in detrended time series. We employ
artificial neural networks for prediction of power production and real-time
analysis of distributed systems.