Venkatesh Pulletikurthi

Venkatesh Pulletikurthi

"Dr. Pulletikurthi's research focuses on turbulent fluid dynamics with a specific emphasis on investigating bioinspired structures and developing fluid physics-integrated models for energy, sustainability, and clean air towards next-Gen urban cities. His research approach involves high-order numerical simulations, real-time data acquisition and low-order methods integrated machine learning models to drive advancements in research and contribute to technological developments."

The outlined projects showcase his research across various methodologies, including proper orthogonal decomposition, Gaussian filtering techniques, complex demodulation techniques, and spectral analysis. These areas of research span wind energy, CO2 sequestration, bioinspired anti-biofouling, and brain tumor detection, incorporating both experimental and numerical approaches.

Potential of wind turbines on the alteration of carbon dioxide concentration

Anthropogenic carbondioxide (CO2) emissions are a major factor in global warming, requiring significant cuts to combat climate change. A crucial technology to reduce global CO2 concentration is direct air capture (DAC) of CO2. However, existing DAC techniques are expensive because of low CO2 concentrations, and they frequently rely on fossil fuel-based energy. In this study, the potential of wind turbines in changing the local CO2 concentration with realistic CO2 concentration profiles is investigated using actuator disk model by integrating scalar transport equations in NREL's SOWFA, large-eddy simulation (LES) code. When high concentrations of CO2 were present in the lower atmosphere, wind turbines facilitated a decrease in concentration at that layer by up to 138 kg/m within the intermediate wake (within 7 diameters) of the second turbine. These discoveries inspire further investigation into the potential synergies between wind turbines and DAC devices or local CO2 pollutant diverters, depending on the prevailing CO2 profile.

Impact of flow regime on the performance of anti-biofouling coatings

Biofouling presents substantial challenges for marine transportation, primarily due to heightened skin drag, leading to elevated fuel costs and consequent CO2 emissions. Existing antifouling techniques, such as polymer coatings, biocides, and self-depleting layers, inflict harm on marine ecosystems and contribute to marine pollution. Through comprehensive experimentation conducted under both laminar and turbulent flow conditions, employing various coating configurations, a theoretical model was devised. It was determined that flow conditions significantly influence biofouling mitigation, particularly attributable to bioinspired structures.

Effective Spectral Element Approach for resolving roughness

Though there are several approaches in resolving roughness, the efficiency of a particular method in resolving multitude of flow scales in flow over roughness is crucial and their computational time. In this study, for the first time, a comparison is made on a single case using overlapping Schwarz approach and adaptive mesh refinement approach in resolving roughness.

Upstream perturbations effect on large-scale field and characterization of perturbations to excite LSM

Adaptive Gaussian filtering based on two-point correlations is used to extract spatial large-scale motions, ≥ 2h , h is channel height. It's been observed that perturbations led to the generation of ring-type vortices which are crucial in enhancing the sweeps and ejection events, therefore mixing. Turbulence production indicated that there is a secondary zone of turbulence production due to the shear layer formed by the interaction of perturbations and channel flow. Also, it is observed that the jet perturbation spacing and diameter are related to the excited LSM wavelengths. (details)

Interaction of low-level jets with wind turbines : the underlying mechanism in the energy entrainment

A synthetic LLJ, low-level jet, a global atmospheric phenomenon knows for it's high wind velocities and low turbulence intensity, is created in a Eiffle Type Wind tunnel at University of Illinois at Urbana-Champaign. It has been observed that positive shear and negative shear regions are responsible for increasing the energy flux entrainment--enhanced power production in second row of wind turbines (details)

Novel sustainable filter for virus filtration and inactivation

In this study, we have proposed a novel design for a filter for enhanced virus filtration, better breathability, and virus inactivation over time. The filter is called Hy–Cu named after its (Hy) hydrophobic properties and another significant layer comprises of copper (Cu). The breathability (pressure drop across filter) of Hy–Cu is tested and compared with widely used surgical masks and KN95 masks, both experimentally and numerically. The results show that the Hy–Cu filter offers at least 10% less air resistance as compared to commercially available masks. The experimental results on virus filtration and inactivation tests using MS2 bacteriophage (a similar protein structure as SARS-CoV-2) show that the novel filter has 90% filtering efficiency and 99% virus inactivation over a period of 2 h. This makes the Hy–Cu filter reusable and a judicious substitute to the single use masks. (details)

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