Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics

Modelling conversion processes in sewers can help minimize odour and pipe corrosion issues, but model uncertainties and errors must be understood. In this study, the Wastewater Aerobic/Anaerobic Transformation in Sewers (WATS) model is implemented in two different frameworks; 1-D (CSTR-in-series) an...

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Autores principales:	Ahmed Khalil, Domenico Santoro, Damien J. Batstone, Christopher T. DeGroot
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	computational fluid dynamics sewers standardized regression coefficient method uncertainty/sensitivity analysis wats model Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/c86c10020e1a43458b8909683a1e2697
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spelling	oai:doaj.org-article:c86c10020e1a43458b8909683a1e26972021-11-06T11:05:37ZUncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics0273-12231996-973210.2166/wst.2021.139https://doaj.org/article/c86c10020e1a43458b8909683a1e26972021-05-01T00:00:00Zhttp://wst.iwaponline.com/content/83/10/2486https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732Modelling conversion processes in sewers can help minimize odour and pipe corrosion issues, but model uncertainties and errors must be understood. In this study, the Wastewater Aerobic/Anaerobic Transformation in Sewers (WATS) model is implemented in two different frameworks; 1-D (CSTR-in-series) and computational fluid dynamics (CFD) to study the uncertainties due to model parameters and its mathematical form. The 1-D model is used to conduct uncertainty/sensitivity analysis using Monte Carlo simulations. Time-averaged outputs were represented using a general linearized model to quantify the importance of specific parameters. The sulfide formation rate per unit area of the biofilm is the most influential parameter. Parameters controlling anaerobic hydrolysis and fermentation are also significant. Uncertainty due to model structure is studied using CFD to explore the influences of non-homogeneous surface reactions and solids settling. These showed that the 1-D model provides a reasonable characterisation of the process for simple flows in pressure mains. HIGHLIGHTS Monte Carlo simulations reveal the most important parameters in sewer model.; Sulfide formation, anaerobic hydrolysis, fermentation parameters are most significant.; Fluid dynamics simulations show biofilm reaction homogenization is appropriate.; Solids settling can be neglected in pressure mains with continuous flow.;Ahmed KhalilDomenico SantoroDamien J. BatstoneChristopher T. DeGrootIWA Publishingarticlecomputational fluid dynamicssewersstandardized regression coefficient methoduncertainty/sensitivity analysiswats modelEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 83, Iss 10, Pp 2486-2503 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	computational fluid dynamics sewers standardized regression coefficient method uncertainty/sensitivity analysis wats model Environmental technology. Sanitary engineering TD1-1066
spellingShingle	computational fluid dynamics sewers standardized regression coefficient method uncertainty/sensitivity analysis wats model Environmental technology. Sanitary engineering TD1-1066 Ahmed Khalil Domenico Santoro Damien J. Batstone Christopher T. DeGroot Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics
description	Modelling conversion processes in sewers can help minimize odour and pipe corrosion issues, but model uncertainties and errors must be understood. In this study, the Wastewater Aerobic/Anaerobic Transformation in Sewers (WATS) model is implemented in two different frameworks; 1-D (CSTR-in-series) and computational fluid dynamics (CFD) to study the uncertainties due to model parameters and its mathematical form. The 1-D model is used to conduct uncertainty/sensitivity analysis using Monte Carlo simulations. Time-averaged outputs were represented using a general linearized model to quantify the importance of specific parameters. The sulfide formation rate per unit area of the biofilm is the most influential parameter. Parameters controlling anaerobic hydrolysis and fermentation are also significant. Uncertainty due to model structure is studied using CFD to explore the influences of non-homogeneous surface reactions and solids settling. These showed that the 1-D model provides a reasonable characterisation of the process for simple flows in pressure mains. HIGHLIGHTS Monte Carlo simulations reveal the most important parameters in sewer model.; Sulfide formation, anaerobic hydrolysis, fermentation parameters are most significant.; Fluid dynamics simulations show biofilm reaction homogenization is appropriate.; Solids settling can be neglected in pressure mains with continuous flow.;
format	article
author	Ahmed Khalil Domenico Santoro Damien J. Batstone Christopher T. DeGroot
author_facet	Ahmed Khalil Domenico Santoro Damien J. Batstone Christopher T. DeGroot
author_sort	Ahmed Khalil
title	Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics
title_short	Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics
title_full	Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics
title_fullStr	Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics
title_full_unstemmed	Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics
title_sort	uncertainty analysis of rising sewer models with respect to input parameters and model structure using monte carlo simulations and computational fluid dynamics
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/c86c10020e1a43458b8909683a1e2697
work_keys_str_mv	AT ahmedkhalil uncertaintyanalysisofrisingsewermodelswithrespecttoinputparametersandmodelstructureusingmontecarlosimulationsandcomputationalfluiddynamics AT domenicosantoro uncertaintyanalysisofrisingsewermodelswithrespecttoinputparametersandmodelstructureusingmontecarlosimulationsandcomputationalfluiddynamics AT damienjbatstone uncertaintyanalysisofrisingsewermodelswithrespecttoinputparametersandmodelstructureusingmontecarlosimulationsandcomputationalfluiddynamics AT christophertdegroot uncertaintyanalysisofrisingsewermodelswithrespecttoinputparametersandmodelstructureusingmontecarlosimulationsandcomputationalfluiddynamics
_version_	1718443759933325312

Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics

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