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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Veröffentlicht in:	AIChE journal Jg. 64; H. 5; S. 1651 - 1661
Hauptverfasser:	Kimaev, Grigoriy, Ricardez‐Sandoval, Luis A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York American Institute of Chemical Engineers 01.05.2018
Schlagworte:	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-Zugang:	Volltext
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