The latest Group updates are here
1. Machine Learning in Fluid Mechanics (Funding: North Carolina Department of Transportation (NCDOT)): This project utilizes machine learning algorithms in fluid mechanics for either design optimization or exploring new phenomena in a turbulent flow. (Collaborative Research)
2. Turbulent Flow Analysis Around Bridges (Funding: NCDOT): A multidisciplinary FSI model to predict the structural dynamics responses of flying UAS when flying around a bridge is studied numerically and experimentally. (Collaborative Research with NC A&T)
3. Analytical and Experimental Hydrodynamic Analysis of Flow Around Renewable Ocean/Wind Energy Technologies (Funding: Seed Grant and North Carolina Renewable Ocean Energy Program-NCROEP): Experimental TomoPIV together with numerical techniques are used to obtain the near-/far-wake structure behind the renewable ocean energy technologies with focus on wave energy converters and ocean current turbines. (Collaborative Research with UNC-CSI)
4. Contract-Performance Engineering: Integrated Design of Contract Terms and Systems (Funding: NSF-UMD and NPS/DoD): This project supports the development of a new methodology that uses the customer and contractor goals as an input to the determination the contractual and engineering design terms (as opposed to conventional engineering design parameters output that is a consequence of just requirements).
5. Integrating Renewable Energy Resources in Building (Funding: MIPS and Industrial Support): This research addresses the integration of renewable energy resources with emphasis on wind energy technologies and their impacts on power generation and thermal comfort in buildings. This project also addresses other aspects of smart building development such as thermography-based building energy auditing.
6. Renewable Energy Based Hydrogen Production and Water Desalination Systems (Funding: Seed Grant): Drinking water and hydrogen can be produced from various primary resources by using different processes. This project uses a cost-performance trade-off analysis towards developing multi-purpose sites for power generation, water desalination, and hydrogen production from renewable energy resources.
7. Computational Fluid Dynamics Analysis of the Ducted Turbines (Funding: Maryland Industrial Partnership Program-MIPS): A novel ducted wind turbine, referred to as the Wind Tower technology, for capturing wind power in either residential or commercial-scale applications is developed. CFD analysis and structural analysis are conducted on ANSYS Workbench. The results provide the optimum dimension ranges of the major Wind Tower components; these values would be further refined at a specific site with its certain wind characteristics.
8. Computational Fluid Dynamics Analysis of a Novel Hybrid Vertical Axis Turbine for Wind/Ocean Energy Harnessing (Funding: Seed Grant): The objective of this project is to design, simulate and evaluate the performance of a novel hybrid vertical-axis turbine (VAT) for obtaining an extended operational range and enhancing self-starting capabilities. The ongoing research is focused on exploring the implementation of this technology in ocean energy technologies. (Collaborative Research with researchers at KTH in Sweden)
9. Computational and Experimental Aerodynamic Analysis of Flow Around a Tire (Funding: Seed Grant): Particle Image Velocimetry (PIV) technique is used to measure the flow structure around a scaled tire. Two laser systems at 15 Hz and 100 Hz with high-speed sCMOS cameras at 67 Hz are used to acquire images. A rolling road is being built and compromised in an Eiffel wind tunnel; it can speed up to 60 mph (100 km/h). The computational analysis of the flow around the tire will be conducted in ANSYS Workbench. (Collaborative Research with Motorsports Research Laboratory at UNCC)
10. Wind Resource Assessment: While regional wind resource maps for power generation provide a model derived prediction of annual mean wind speed distribution, the impact of local terrain, vegetation, and local atmospheric circulations are not accounted for given its limited spatial and temporal resolution. Hence, local studies of these features are necessary for an accurate wind resource assessment. The team has one weather station at University of Maryland and one at the University of North Carolina at Charlotte.
11. Computational Fluid Dynamics Analysis of a Water Testing Flume (Collaborative Research with National Renewable Energy Laboratory and Colorado School of Mines): Performance of a water testing flume (closed-loop water tunnel) design is being explored using CFD ANSYS Workbench.
12. Cost-Performance Trade-Off Studies of Renewable Energy Systems (Funding: FRG-UNCC): Health and environmental consequences of conventional fossil fuels are drawing more interest in expanding the use of renewable energy sources. The primary challenges in supplying the required electricity from wind are the variability, uncertainty, and the cost of electric power generation. This project employs multi-year wind/load data from Pennsylvania New Jersey Maryland (PJM) Interconnection LLC to develop a cost-performance analysis toolbox of a renewable-based electricity generation systems. The main conclusion is that the cost-performance curve “hockey sticks”, high emission reduction comes at a high cost. This project initially developed on spreadsheets; then, the procedure was written on a MATLAB platform. Currently, a novel networked renewable power plant site selection (NRPS) methodology is developed to obtain a fast, simple, yet accurate model.