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- Title
Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation.
- Authors
Lu, Liqiang; Benyahia, Sofiane
- Abstract
Coarse grained particle methods significantly reduce the computation cost of large‐scale fluidized bed simulation by lumping many real particles into a computation parcel. This research provides a method to estimate the errors associated with parcel size in large‐scale fluidized bed simulations. This uncertainty is first quantified in small scale domains by comparing results of discrete particle method with that employing coarse parcels of different sizes. Then, this uncertainty is correlated with parcel size and simulation domains consisting of a simple homogeneous cooling system and more complex bubbling and circulating fluidized beds. These correlations allow us to accurately estimate the uncertainty in large‐scale fluidized beds based solely on data obtained in smaller systems. The ability to estimate model‐related uncertainty in larger systems makes this method relevant for industrial applications. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2340–2350, 2018
- Subjects
MATHEMATICAL models of uncertainty; PARTICLE methods (Numerical analysis); SIMULATION methods &; models; FLUIDIZED bed reactors; COMPUTATIONAL mathematics; COOLING systems; OSTWALD ripening
- Publication
AIChE Journal, 2018, Vol 64, Issue 7, p2340
- ISSN
0001-1541
- Publication type
Article
- DOI
10.1002/aic.16100