Short-term Wind Forecasting for Efficient Grid Integration

Increasing the percentage of wind energy in the overall energy portfolio is much more involved than simply installing new wind farms.

By Inanc Senocak, Associate Professor of Mechanical Engineering 

Expansion into regions of complex terrain introduces technical challenges in designing and operating wind farms. Enhanced variability of winds over complex terrain complicates grid integration of wind power in an increasingly deregulated energy market. The presentation will target engineers in renewable energy industry as well as students who are interested in wind energy research.   
 
Learning Objectives: 

1. Understand grid integration challenges facing wind power  
2. Comprehend the dynamics of the atmospheric boundary layer relevant to wind farm operations 
3. Appreciate the differences between weather versus wind forecasting  
4. Gain knowledge about computational modeling options for wind power forecasting 
5. Learn about alternative strategies to increase transmission line capacity.
   

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