131st NIA CFD Seminar by Rubel Das, (04-16-2024)

Here's the link to the presentation file (pdf):
https://nationalia-my.sharepoint.com/...

Title: Wind Farm Optimization and Analysis of Complex Wake Structures

Speaker: Rubel Das, National Institute of Aerospace

Date: Tuesday, April 16, 2024

Location: NIA Room 317 (3rd floor), Large Conference Room, 1100 Exploration Way, Hampton, VA 23666

Abstract:
A high-fidelity computational solver was developed with direct numerical simulation (DNS), large eddy simulation (LES), and Concurrent Precursor Method (CPM) capabilities. Extensive validation ensured the solver’s accuracy in modeling fluid dynamics, including the wake characteristics of both utility and miniature-scale wind turbines. Key performance indicators (e.g., velocity and turbulence intensity profiles) were compared against established theoretical, computational, and experimental results. The study examined the influence of ground clearance on turbine performance, comparing two scenarios with different hub heights. Results showed that larger ground clearance facilitates quicker wake recovery. Finally, the dissertation uses a nine-turbine array model to explore wind farm behavior under varying wind conditions and yaw angles. This analysis highlighted that wind speed variations and yaw adjustments impact wake characteristics and power output, with implications for optimizing wind farm efficiency. The research provides insights into enhancing energy extraction and advancing wind energy technology, contributing to sustainable renewable energy development.

Bio: Rubel Das is currently a postdoctoral research scholar at the National Institute of Aerospace, working with NASA SAGE III/ISS Science Team, since January 2024. He completed his Ph.D. in the Mechanical Engineering Department at the University of New Mexico (UNM), USA, in December 2023. Before PhD, he earned an M.Sc. degree and a B.Sc. degree from the Mechanical Engineering Department at Bangladesh, University of Engineering and Technology in 2017 and 2015, respectively. He has accumulated eight years of experience in the field of computational fluid dynamics (CFD) since 2015. Additionally, he has worked on computational heat transfer (CHT) during his M.Sc.