Multilevel Monte Carlo applied to chemical engineering systems subject to uncertainty

The aim of this study is to evaluate the performance of Multilevel Monte Carlo (MLMC) sampling technique for uncertainty quantification in chemical engineering systems. Three systems (a mixing tank, a wastewater treatment plant, and a ternary distillation column, all subject to uncertainty) were con...

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Bibliographic Details

Published in:	AIChE journal Vol. 64; no. 5; pp. 1651 - 1661
Main Authors:	Kimaev, Grigoriy, Ricardez‐Sandoval, Luis A.
Format:	Journal Article
Language:	English
Published:	New York American Institute of Chemical Engineers 01.05.2018
Subjects:	Chemical engineering Computer applications Distillation Monte Carlo simulation multilevel Monte Carlo Polynomial Chaos Power Series Sampling Studies Uncertainty uncertainty quantification Wastewater treatment Wastewater treatment plants
ISSN:	0001-1541, 1547-5905
Online Access:	Get full text
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