As part of DOE’s A2e initiative, wind energy scientists share data and provide information to wind power plant owners and consultants who need to make informed decisions on types of technologies to be deployed and where to locate wind turbines.
FAST.Farm, a new modeling tool from NREL, will help users predict the power performance and structural loads of wind turbines within a wind farm, enabling them to maximize the farm’s power production and reliability.
WISDEM software creates a virtual, vertically integrated wind plant from components to operations.
NREL has released a new version of its FLOw Redirection and Induction in Steady State (FLORIS) model for wind plant performance optimization.
Addressing Wind Energy Innovation Challenges
As we embark on a new fiscal year, we’d like to share some of our key accomplishments from Fiscal Year 2019.
Wake steering field trials reveal potential for wind-plant-level control to increase annual energy production 1%–2% and profits by $1 million.
To improve wind forecast accuracy, WETO funded the second Wind Forecast Improvement Project (WFIP2).
Funding in U.S. wind energy has averaged nearly $13.6 billion annually since 2006, totaling more than $140 billion.
As the contribution of wind energy to U.S. electricity generation grows, so does the importance of accurate forecasts for wind power production.