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Evolution in time of random phenomena with a view towards wind power production

PhD defence, Friday 28 February 2020, Victor Rohde.

2020.02.28 | Kathrine Nielsen

Victor Ulrich Rohde

During his studies, Victor Rohde has researched mathematical models for random phenomena that evolve in time. Special focus has been on  decoupling the time dependency from the randomness and on modeling several random phenomena simultaneously. A time dependent model for the wind power utilisation at three distinct wind sites in Germany together with the overall German wind power utilisation has been studied. With this model, the wind farm owners can minimise their risk exposure to low wind scenarios using an exchange traded wind power index. Furthermore, in collaboration with Vestas Wind Systems A/S, a mathematical framework for analysing the connection between extreme loads on a simulated wind turbine and a wind turbine in the field has been investigated.

The new research findings contribute to a better understanding of models for random evolution in time and develops mathematical tools for analysing problems faced by the wind power industry. 

The PhD degree was completed at the Department of Mathematics, Science and Technology, Aarhus University.

This résumé was prepared by the PhD student.

Time: Friday 28 February 2020 at 12.15
Place: Building 1532-116 (Auditorum G1), Department of Mathematics, Aarhus University, Ny Munkegade 120, 8000 Aarhus
Title of PhD thesis: Continuous-Time Stationary Processes and Wind Power
Contact information: Victor Rohde, e-mail: victor@math.au.dk, tel.: +45 93 95 83 90
Members of the assessment committee:
Professor Anita Behme, Institute of Mathematical Stochastics, Techniche Universität Dresden, Germany
Associate Professor Anders Rønn-Nielsen, Department of Finance, Copenhagen Business School, Denmark
Professor Marcel Bökstedt (chair), Department of Mathematics, Aarhus University
Main supervisor:
Associate Professor Andreas Basse-O’Connor, Department of Mathematics, Aarhus University
Co-supervisor:
Associate Professor Jan Pedersen, Department of Mathematics, Aarhus University
Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1521, 8000 Aarhus C.

PhD defence
12183 / i43