Atmospheric modelling research

and

National Laboratory (

) are to conduct atmospheric modelling research that is expected to help operaters and owners manage wind farms more efficiently.

Under the two-year cooperative research-and-development agreement (CRADA), Livermore, California-based LLNL will provide high-resolution, numerical weather prediction models to forecast power generated by the wind. Siemens will translate Livermore’s forecasts of wind speed and wind direction at each turbine into power collected.

According to Siemens, many US wind parks yield up to 20 per cent less energy than predicted because of uncertain forecasts. More accurate wind predictions will enable wind-farm operators and owners to know hours or days ahead of time how wind conditions will affect power generation.

‘Accurate and timely forecasts of power availability will enable turbine owners and operators to generate optimal bids on wind turbine production and, in turn, maximise financial benefit and grid support,’ said Henrik Stiesdal, chief technology officer of Siemens Wind Power.