Integrative CFD and AI/ML-based modeling for enhanced alkaline water electrolysis cell performance for hydrogen production

Sirat, Abdullah; Ahmad, Sher; Ahmad, Iftikhar; Ahmed, Nouman; Ahsan, Muhammad

doi:10.1016/j.ijhydene.2024.08.184

International Journal of Hydrogen Energy

2024

DOI: 10.1016/j.ijhydene.2024.08.184

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Integrative CFD and AI/ML-based modeling for enhanced alkaline water electrolysis cell performance for hydrogen production

Abdullah Sirat,

Sher Ahmad,

Iftikhar Ahmad

et al.

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Combining CFD and AI/ML Modeling to Improve the Performance of Polypropylene Fluidized Bed Reactors

Ghasem

2024

Fluids

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Polypropylene is one of the most widely used polymers in various applications, ranging from packaging materials to automotive components. This paper proposes the Computational Fluid Dynamics (CFD) and AI/ML simulation of a polypropylene fluidized bed reactor to reduce reactor loss and facilitate process understanding. COMSOL Multiphysics 6.2® solves a 2D multiphase CFD model for the reactor’s complex gas–solid interactions and fluid flows. The model is compared to experimental results and shows excellent predictions of gas distribution, fluid velocity, and temperature gradients. Critical operating parameters like feed temperature, catalyst feed rate, and propylene inlet concentration are all tested to determine their impact on the single-pass conversion of the reactor. The simulation simulates their effects on polypropylene yield and reactor efficiency. It also combines CFD with artificial intelligence and machine learning (AI/ML) algorithms, like artificial neural networks (ANN), resulting in a powerful predictive tool for accurately predicting reactor metrics based on operating conditions. The multifaceted CFD-AI/ML tool provides deep insight into improving reactor design, and it also helps save computing time and resources, giving industrial polypropylene plant growth a considerable lift.

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Combining CFD and AI/ML Modeling to Improve the Performance of Polypropylene Fluidized Bed Reactors

Ghasem

2024

Fluids

View full text Add to dashboard Cite

show abstract

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Integrative CFD and AI/ML-based modeling for enhanced alkaline water electrolysis cell performance for hydrogen production

Cited by 1 publication

References 36 publications

Combining CFD and AI/ML Modeling to Improve the Performance of Polypropylene Fluidized Bed Reactors

Combining CFD and AI/ML Modeling to Improve the Performance of Polypropylene Fluidized Bed Reactors

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