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As part of the IEA Wind Task 43 Metadata Challenge, we run a series of public webinars that aim to improve collaboration between Knowledge Engineering experts and domain experts in the area of wind energy. In this webinar we will discuss how rich metadata schemes can allow for better designs via optimization under uncertainty. First we will hear from the experience of Julian Quick, postdoctoral researcher at DTU Wind in Denmark, Then we will host a Q&A session focused on transferring knowledge and defining possible future research projects.

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PROGRAMME (TIMES IN CET)

15:00-15:10 Introduction (Sarah Barber)

15:10-15:30 Key-note talk “How rich metadata schemes can allow for better designs via optimization under uncertainty.“

Dr. Julian Quick, DTU Wind Energy, Denmark

15:30-15:50 Questions and discussion

15:50-16:00 Summary of discussion and closing (Sarah Barber)

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KEY-NOTE SPEAKER:

JULIAN QUICK

Postdoctoral researcher at DTU Wind Energy, Denmark

Julian Quick is a postdoctoral researcher developing outer loop applications for wind energy systems. Modeling wind energy systems is challenging, in part, due to the high dimensionality, large inherent uncertainties, and the need for efficient optimization schemes for planning and control. Juilan’s work demonstrates efficient optimization and uncertainty quantification of physical models of wind energy systems. As the wind energy sector matures, Julian anticipates that these (multifidelity) optimization and uncertainty quantification techniques will become more prevalent within the wind energy sector.