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March 6, 2020 | 11:00 a.m. - 12:00 p.m.
Category: Seminar
Location: ISE Conference Room, MEB #2062
Cost: Free
Audience: Academic Staff, Current Graduate Students, Faculty

Abstract:
Modern utility-scale wind farms consist of a large number of wind turbines. In order to improve the power generation efficiency of wind turbines, accurate quantification of power generations of multi-turbines is critical in both wind farm design and operational controls. One challenging issue is that the power outputs of multiple wind turbines are different because of complex interactions among turbines, known as wake effects. In general, upstream turbines in a wind farm absorb kinetic energy from wind, and therefore, downstream turbines tend to produce less power than upstream turbines. Moreover, the power deficits at downstream turbines exhibit heterogeneous patterns, depending on weather conditions. This study proposes a new statistical approach for characterizing heterogeneous wake effects. The proposed approach decomposes power outputs into the average pattern commonly exhibited by all turbines and the turbine-to-turbine variability caused by multi-turbine interactions. We further extend the model to incorporate direction-dependent wake effects. A case study using actual wind farm data demonstrates the proposed approach's superior performance over alternative methods.

 

Bio:

Dr. Eunshin Byon is an Associate Professor in the Department of Industrial and Operations Engineering at the University of Michigan, Ann Arbor, USA.  She received her Ph.D. degree in Industrial and Systems Engineering from the Texas A&M University, College Station, USA, and joined the University of Michigan in 2011. Dr. Byon's research interests include cost-effective operations & management for stochastic systems, predictive data analytics, reliability evaluation, and uncertainty quantification. She and her students received several Best Paper Awards in various competitions, including the Best Student Paper award in the INFORMS Data Mining section and Best Applications paper award in Institue of Industrial and Systems Engineering Transactions. She is a member of IIE, INFORMS and IEEE.



For more information about this event, please contact Industrial and Systems Engineering at (313) 577-3821.