Abstract:

This research provides an in-depth analysis of the flow around the rotor and in the wake of a single Horizontal Axis Wind Turbine (HAWT) model at different free stream velocities and Tip Speed Ratios (TSRs). Moreover, it calculates numerically the effect of different operating conditions on power production. Hence, it extracts some recommendations that might be beneficial for large scale projects such as wind farm layout design and power output prediction. For this purpose, a modeling and experimental testing of a wind tunnel test section, including a single wind turbine model inside were created and validated against present experimental data of the same model. The Large Eddy Simulation (LES) was used as a numerical approach to model the Navier-Stokes equations. The computational domain was divided into two areas; rotational and stationary. The unsteady Rigid Body Motion (RBM) model was adopted to represent the rotor rotation accurately.

Biography:

Hasan has been working for the wind tunnel laboratory at University of Wisconsin-Milwaukee (UWM) since 2017. Using the largest subsonic wind tunnel in Wisconsin, with the help of hot wire anemometry and CFD commercial software STAR CCM+, he is focusing on improving a wind turbine performance, hence optimizing a wind farm power output. As an outcome, he has got a journal publication at ASME-JERT this year.

Meanwhile, he is an active member of UWM- Industrial Assessment center (IAC) since 2017. It’s a program funded by the US-Department of Energy through which he provides free energy audits for small to medium size industrial facilities in Wisconsin and north of Illinois.

Previously, he held two positions simultaneously in Egypt. He worked as a research and teaching assistant at Cairo University, and as a HVAC consultant engineer. Thus, he was awarded his master’s degree in 2015 for improving both thermal comfort and energy efficiency of the air-conditioning system of an underground subway station. Then, he extended his work numerically using UWM computational clusters, to get it published at ASME Power & Energy conference, 2018.