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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Vydané v:	AIChE journal Ročník 64; číslo 5; s. 1651 - 1661
Hlavní autori:	Kimaev, Grigoriy, Ricardez‐Sandoval, Luis A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York American Institute of Chemical Engineers 01.05.2018
Predmet:	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
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