Lawrence Livermore National Laboratory (LLNL) is a DOE National Security Laboratory established in 1952 in Livermore, CA. We have a strong focus on energy science and security, including wind power and other renewable and sustainable energy technologies. LLNL employs 6300 staff, including 2700 scientists and engineers of whom 40% hold Ph.Ds. LLNL is located on a 840 ac. main site with 497 user facilities, and a 7000 ac. rural site in the hills of the Altamont Pass wind resource.
LLNL has been active in wind power R&D for over 20 years, emphasizing the Lab’s deep experience and talent in atmospheric sciences, weather forecasting, field observations, V&V, numerical simulation and high performance computing. We work closely with partners in the wind industry to deliver custom solutions based on our advanced methods, and with the DOE wind program as a key contributor for achieving national goals of enhancing wind power technology and adoption. LLNL actively partners with the wind industry, academia and government agencies to provide valuable service.
LLNL has many institutional capabilities and programs that support the wind program:
The Program for Climate Model Diagnosis and Inter-comparison (PCMDI) is a key institution in the international climate community.
Field observations and analysis at numerous active wind farms are used to validate and improve models
The National Center for Atmospheric Release (NARAC) maintains 24/7 global forecasting capability
Multi-scale and multi-physics models of wind power production are under constant development and release
The High Performance Computing Innovation Center (HPCIC) provides a gateway for industry to access the world class HPC resources at LLNL.
Site 300 is 7000 acres in the rural Altamont Hills wind resource used for intensive observation and study of winds in complex terrain
A strong theme in our wind power R&D is Weather to Wind Power. We are developing capabilities to understand the challenging but important intermediate scales between weather events that drive the wind (~1000 km) down to the aerodynamic inflow at the turbine (~1m). This huge intermediate scale covers such critical factors as complex terrain, diurnal wind patterns, turbine wake arrays and entire wind farm optimization.