Project Start Date : Start of the next semester
Application Deadline : Open Until Filled
Description:
When a wind turbine generates electricity from wind, it leaves behind a wake which can result in a decrease of energy production and an increase of fatigue loads for downstream turbines.
For floating offshore wind turbines (FOWTs), the motion of the platform further complicates the dynamics of wind turbine wakes and influence the power performance of the wind farm. In this study, we investigate the effects of the surge motion of FOWTs on the power and fatigue of a floating wind-turbine array.
You will collaborate with Dr. Xiao Hu ([email protected]) to accomplish the following two tasks:
1. Conduct the numerical simulations with the well-developed GPU-accelerated WiRELES code for the windturbine array with the surge motion.
2. Identify how the surge motion with different phases and frequencies affects power production and fatigue loading for a wind farm.
We offer you:
1) Implementation of GPU-accelerated CFD codes and numerical simulations.
2) Guidance in analyzing the power performance and loading for wind turbines.
Your qualities:
1) Good data processing skills with Python or Matlab.
2) Demonstrable interest in numerical simulation and wind energy optimization.
3) Background in CFD will be a plus.
Expected outcomes:
1) A strong understanding of the wake in a wind farm.
2) Hands-on experience with the GPU-accelerated CFD code.
3) Development of academic and technical writing skills.
4) Submission of a paper to a renowned international journal.
For more information about the project and to be considered the position, please contact:
Prof. Dr. Fernando Porte-Agel (Email: [email protected])
Dr. Xiao Hu (Email: [email protected])
Wind Engineering and Renewable Energy Laboratory