Position Start Date : Subject to Availability
Application Deadline : Open Until Filled
Job Categories : MS Position
Contact : [email protected]
Description:
In response to the world’s growing demand for electricity, researchers have been seeking potential wind farm control strategies to extract more wind energy. One successful example is yaw control, which can increase the power production of a wind farm by actively changing the yaw angles of individual wind turbines. In the wind tunnel at the WiRE laboratory, we are exploring new wind farm control strategies based on a sound understanding of physics.
In the current project, a recently proposed dynamic yaw control strategy will be tested in small-scale wind farm models via wind-tunnel experiments. You will be able to build miniature wind farms and learn how to perform power measurements and velocity measurements with our state-of-the-art facilities, for example, particle image velocimetry and laser Doppler velocimetry. The power performance and wake characteristics of the wind farm will be investigated.
Your responsibilities:
- Carry out wind tunnel experiments in collaboration with Mr. Guiyue Duan
- Perform a systematic data analysis on the acquired measurements
- Provide a physical understanding of the wind farm control strategy
- Manage and curate large datasets
Learning outcomes:
- Hands-on experience with well established experimental techniques
- Good understanding of wind farm power performance and wake characteristics
- Big data analysis and management
- Development of academic and technical writing skills
Experience in coding (e.g., Matlab) and background in fluid mechanics will be a plus. For more information about the project and to be considered the position, please contact:
Prof. Fernando Porté-Agel
Email: [email protected]
EPFL ENAC IIE WIRE
GR B2 400 (Bâtiment GR)
Station 2
CH-1015 Lausannee