M.A. (Mehtab) Khan
M.A. (Mehtab) Khan
BiographyI was born and raised in Khyber, a village in the remote Hunza Valley in Northern Pakistan. I spent the latter part of my life in various cities of the country for education and work. I moved to Delft in 2021 for my PhD at the wind department of the Aerospace Faculty of TU Delft. I work with Prof. Dr. S.J. (Simon) and Dr. D.J.N (Dries) Allaerts on Numerical Modelling of Regional-Scale wind-farm flow dynamics.
- MSc in Energy Systems Engineering, NUST-Pakistan (2021)
- BS in Aerospace Engineering, IST-Pakistan (2017)
- Computational Fluid Dynamics (CFD)
- CAD Modelling
- Wind Farm flow dynamics
PublicationsMehtab Ahmad Khan, Adeel Javed, Sehar Shakir, Abdul Haseeb Syed, Optimization of a wind farm by coupled actuator disk and mesoscale models to mitigate neighboring wind farm wake interference from repowering perspective, Applied Energy, Volume 298, 2021, 117229, ISSN 0306-2619, doi.org/10.1016/j.apenergy.2021.117229.
ProjectsCurrently, I am exploring numerical simulations of regional-scale wind farms for dynamic flow. The research's main objective is to develop guidelines for modeling large wind farms that atmospheric gravity waves might influence. This investigation will focus on various sensitivity studies of numerical setup and flow conditions for different wind farm sizes. Previously, I have worked on partial repowering of finite onshore wind farms affected by compound wakes of upstream wind farms. By employing a modular coupling method between the mesoscale WRF model and a low-fidelity ADM microscale model, the impact of intra-farm wakes on total power output was analyzed. Further, we investigated vertical staggering to reduce the power losses incurred by the compound wakes. The significant results included that increasing the hub heights of the affected turbines would lower the power loss by up to 13%. Moreover, the compound wakes were identified to cause velocity deficits of up to 11% for intra-farm distances of less than 10 km.