Research Interests

My area of research is related to hydrogen energy optimization through numerical modeling using Computational Fluid Dynamics (CFD) and Density Function theory (DFT). The optimization domains involve a variety of future hydrogen technologies like Electrolyzer, Microbial Fuel cells (MFCs), Liquid hydrogen storage tanks (Cryogenics), etc.

Current Projects

• Optimization of liquid hydrogen storage tanks to reduce boil-off losses using multiphase CFD simulations.
• Numerical modeling of alkaline water electrolyzer via coupling of electrochemistry and CFD.
• Model development of microbial electrolytic cells (MECs) for hydrogen production.

Mentored Projects

• Ojas Srivastava (Dual Degree): Combustion modeling of hydrogen blend liquid fuels in existing automobile engines through CFD simulations (Ongoing).
• Abhishek Sikar (B.Tech.): DFT studies of nitrogen doped carbon electrodes decorated with metal nanoparticles for hydrogen production (Ongoing).
• Akshay Malhotra (B.Tech.): Machine learning study for bioreactor hydrodynamics (Ongoing).
• Ankit Srivastava (B.Tech., DTU): Numerical modeling of piezoelectric polymer for pacemaker application (Completed, 2022-23).

Collaborative Projects

• Simulation-based study of fluid flow in a microfluidic channel in the presence of microstructures produced by multiphoton Inner Laser Lithography (MILL), 2022.

Supervisor: Dr Steve Lee, The John Curtin School of Medical Research, ANU.

Publications

• Srivastava, A., Singh, N.K., Sarkar, J. (2023). Simulation based study of piezoelectric materials for pacemaker applications (To be submitted).
• Singh, N. K., & Bhutani, G. (2021). Finite Element Computational Modelling of Non-Newtonian Fluids Using Anisotropic Mesh Adaptivity. In Recent Advances in Computational Mechanics and Simulations: Volume-II: Nano to Macro (pp. 323-338). Springer Singapore.
• Singh, N. K. (2021). Continuum modelling of snow avalanches using an adaptive-mesh open-source finite element framework (MS) (Doctoral dissertation, IIT Mandi).

Awards

• Future Research Talent (FRT) Award, Australian National University (ANU), 2022.
• Won the first prize on the topic "Hydrogen Economy" in the quiz competition held by "IPHE-MNRE 2024" at IIT Delhi Research Park.
• Won the third prize in the poster presentation at "IPHE-MNRE 2024" at IIT Delhi Research Park.

Software

CFD: Ansys Fluent, Ansys Mechanical, COMSOL Multiphysics, Fluidity (Open-Source) CFD tool.

DFT: CP2K (Learning).

Programming: C, OOPs using C++, Python, MATLAB.

Work Videos