20232024

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Munjal Shah joined NREL in 2023. His expertise includes computational fluid dynamics, finite element modeling, and machine learning. His research includes thermal and mechanical modeling for particle-based concentrated solar power (CSP) receivers, aiming to accelerate industry decarbonization. He also works on developing thermal energy systems for industrial process heat applications and long-duration energy storage technologies. Shah actively participates in CSP and thermal energy storage research, leveraging high-performance computing for advanced fluid and thermal modeling. He also leads projects focused on the dispersion modeling of hydrogen for the development and deployment of hydrogen sensor safety technologies for hydrogen storage facilities.

Research Interests

Thermal energy storage

Long-duration energy storage

Hydrogen sensors and safety

Computational fluid dynamics

Machine learning

Professional Experience

Graduate Intern, NREL (2021–2022)

Graduate Research Assistant, University at Buffalo (2016–2023)

Plant Engineer, Gammon India (2015–2016)

Education/Academic Qualification

Bachelor, Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology Surat

PhD, Mechanical and Aerospace Engineering, University at Buffalo

Master, Mechanical and Aerospace Engineering, University at Buffalo

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