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.