Modeling Average Pressure and Volume Fraction of a Fluidized Bed Using Data-Driven Smart Proxy

Modeling Average Pressure and Volume Fraction of a Fluidized Bed Using Data-Driven Smart Proxy

Simulations can reduce the time and cost to develop and deploy advanced technologies and enable their rapid scale-up for fossil fuel-based energy systems. However, to ensure their usefulness in practice, the credibility of the simulations needs to be established with uncertainty quantification (UQ)...

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Bibliographic Details
Main Authors: Amir Ansari, Shahab D. Mohaghegh, Mehrdad Shahnam, Jean-François Dietiker
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Fluids
Subjects:
fluidized bed
computational fluid dynamic
uncertainty quantification
machine learning
artificial neural network
data-driven smart proxy
Online Access:https://www.mdpi.com/2311-5521/4/3/123

Internet

https://www.mdpi.com/2311-5521/4/3/123

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