PhD – Wind turbine control
Sebastiaan is working on the development of control algorithms for wind turbine fatigue load reductions, and power maximization. Active research topics and directions are individual pitch control (IPC), tower resonance frequency skipping, model predictive control (MPC), and the development of control oriented (educational) wind turbine software.
PhD – Wind farm control
Bart has a background in Aerospace and Control Engineering. His current focus is on wind farm control, pursuing the improvement of the energy that is produced from wind farms using a technique called wake steering. Active research topics include surrogate wind farm modeling, real-time wind flow estimation, real-time model adaptation and robust optimization.
PhD – Dynamic induction control of wind farms
After finishing his Master in Systems & Control at Delft University of Technology, Joeri started his PhD research in Jan-Willems group in 2017. His main focus is currently on Dynamic Induction Control (DIC) of wind farms, with side projects including Individual Pitch Control (IPC) and Subspace Predictive Repetitive Control (SPRC).
Daan van der Hoek
PhD – Wind farm control and experimental validation
Daan is working on the development of wind farm control algorithms, focusing primarily on combining data-driven and model-based control methods for robust performance. Ultimately, the goal is to validate these control algorithms through wind tunnel experiments.
Unai Gutierrez Santiago
PhD – Dynamic modelling of gearboxes
Unai is developing data-driven dynamic models of wind turbine gearboxes. The main objectives are to improve the condition monitoring of gearbox components and to increase the performance and lifetime of the gearbox. His professional career has been primarily related to the testing and validation of wind turbine gearboxes at Siemens Gamesa where he has worked for more than 13 years.
Postdoc – Fault-tolerant wind turbine control
With much experience with research on the Dynamic Analysis and Structural Optimization of the Floating Offshore Wind Turbine, Yichao currently takes an interest in the Fault Diagnosis and Fault-tolerant Control of the offshore wind turbine, and hence to develop a competitive solution to economically harvest offshore wind.
Researcher – Artificial intelligence for wind turbine control
PhD – Digital Twin of a Vertical Axis Wind Turbine
Livia has a background in Sustainable Energy Engineering, with a particular focus on Wind Energy. During her PhD research, a digital twin for a Vertical Axis Wind Turbine (VAWT) will be developed. The main outcome is the resolution of actual operation states and performance of the VAWT by adding real-time data and sensors inputs.
Atindriyo Kusumo Pamososuryo
PhD – Model Predictive Control for Wind Turbine
With a background in Systems and Control and former research experience in Individual Pitch Control (IPC), Atindriyo is planned to work in the research of Model Predictive Control (MPC) for wind turbines. He will start his PhD research in January 1st, 2020.
Maarten van den Broek
PhD – Wind-farm control
Maarten has a background in Aerospace and Biomechanical Engineering, with experience in dynamical modelling and control applications. He is working on dynamical wind-farm modelling for development of closed-loop wind-farm control.