Accurate wind forecasting is essential to efficiently harness wind power and to help the wind energy industry achieve its wind-power production goals. Working with industry partners, scientists and engineers at Lawrence Livermore National Laboratory are using supercomputers to blaze new ground in this field. Siemens Energy, Inc. has collaborated with Lawrence Livermore National Laboratory to create high-resolution atmospheric models to improve the efficiency of individual wind turbines and entire wind farms.
Using Livermore’s large computing platforms and advanced fluid dynamic codes, the collaboration has produced timely and accurate wind-prediction capabilities. By taking into account both large-scale wind processes and small-scale terrain and wake effects, these improved models will help the wind energy industry optimize power production, allow wind farm operators to plan ahead and reduce the cost of wind power.