Engineering Commons^™

Modeling Average Pressure And Volume Fraction Of A Fluidized Bed Using Data-Driven Smart Proxy, Amir Ansari, Shahab D. Mohaghegh, Mehrdad Shahnam, Jean-François Dietiker

Faculty & Staff Scholarship

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) methods. The National Energy Technology Laboratory (NETL) has been applying non-intrusive UQ methodologies to categorize and quantify uncertainties in computational fluid dynamics (CFD) simulations of gas-solid multiphase flows. To reduce the computational cost associated with gas-solid flow simulations required for UQ analysis, techniques commonly used in the area of artificial intelligence (AI) and data mining are used …