0000000000021000

AUTHOR

Peter A. Vanrolleghem

0000-0003-1695-1313

showing 8 related works from this author

A practical protocol for calibration of nutrient removal wastewater treatment models

2011

Activated sludge models can be very useful for designing and managing wastewater treatment plants (WWTPs). However, as with every model, they need to be calibrated for correct and reliable application. Activated sludge model calibration is still a crucial point that needs appropriate guidance. Indeed, although calibration protocols have been developed, the model calibration still represents the main bottleneck to modelling. This paper presents a procedure for the calibration of an activated sludge model based on a comprehensive sensitivity analysis and a novel step-wise Monte Carlo-based calibration of the subset of influential parameters. In the proposed procedure the complex calibration i…

Protocol (science)Atmospheric ScienceEngineeringMathematical optimizationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleCalibration (statistics)business.industryMonte Carlo methodsensitivity analysiActivated sludge modelidentifiabilityGeotechnical Engineering and Engineering Geologycalibration protocolGLUEBottleneckASMIdentifiabilitySensitivity (control systems)businessGLUEwastewater treatment modellingSimulationCivil and Structural EngineeringWater Science and TechnologyJournal of Hydroinformatics
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Global sensitivity analysis in wastewater treatment modelling

2019

Global sensitivity analysis (GSA) is a valuable tool to support the use of mathematical models. GSA allows the identifcation of the effect of model and input factor uncertainty on the model response, also considering the effect due to the interactions among factors. During recent years, the wastewater modelling feld has embraced the use of GSA. Wastewater modellers have tried to transfer the knowledge and experience from other disciplines and other water modelling felds.

Mathematical optimizationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleComputational burden convergence modelling numerical methods sensitivity analysis water modellingGlobal sensitivity analysisNumerical analysisConvergence (routing)Sewage treatmentMathematics
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Biological nitrogen and phosphorus removal in membrane bioreactors: model development and parameter estimation

2012

Membrane bioreactors (MBR) are being increasingly used for wastewater treatment. Mathematical modeling of MBR systems plays a key role in order to better explain their characteristics. Several MBR models have been presented in the literature focusing on different aspects: biological models, models which include soluble microbial products (SMP), physical models able to describe the membrane fouling and integrated models which couple the SMP models with the physical models. However, only a few integrated models have been developed which take into account the relationships between membrane fouling and biological processes. With respect to biological phosphorus removal in MBR systems, due to th…

Process (engineering)NitrogenBioengineeringPilot ProjectsBiological Oxygen Demand AnalysisWastewaterModels BiologicalWaste Disposal FluidBioreactorsBiological Oxygen Demand AnalysisPhysical modelSewageSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleChemistryMembrane foulingEnvironmental engineeringMembranes ArtificialPhosphorusGeneral MedicineEnhanced biological phosphorus removalPilot plantWastewaterasm modelling biological processesSewage treatmentBiochemical engineeringBiotechnology
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Variance-based sensitivity analysis for wastewater treatment plant modelling.

2014

Global sensitivity analysis (GSA) is a valuable tool to support the use of mathematical models that characterise technical or natural systems. In the field of wastewater modelling, most of the recent applications of GSA use either regression-based methods, which require close to linear relationships between the model outputs and model factors, or screening methods, which only yield qualitative results. However, due to the characteristics of membrane bioreactors (MBR) (non-linear kinetics, complexity, etc.) there is an interest to adequately quantify the effects of non-linearity and interactions. This can be achieved with variance-based sensitivity analysis methods. In this paper, the Extend…

EngineeringEnvironmental EngineeringMathematical modelSewagebusiness.industryEnvironmental engineeringActivated sludge modelVariance (accounting)Models TheoreticalWastewaterMembrane bioreactorPollutionWaste Disposal FluidFourier amplitude sensitivity testingVariance decomposition of forecast errorsEnvironmental ChemistrySensitivity (control systems)businessVariance-based sensitivity analysisBiological systemWaste Management and DisposalThe Science of the total environment
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Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods

2015

Abstract Sensitivity analysis represents an important step in improving the understanding and use of environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may identify both important ( factor prioritisation ) and non-influential ( factor fixing ) model factors. No general rule has yet been defined for verifying the convergence of the GSA methods. In order to fill this gap this paper presents a convergence analysis of three widely used GSA methods (SRC, Extended FAST and Morris screening) for an urban drainage stormwater quality–quantity model. After the convergence was achieved the results of each method were compared. In particular, a discussion on peculiar…

Mathematical optimizationMathematical modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUncertaintyContrast (statistics)Numerical method6. Clean waterTerm (time)law.inventionSystems analysisMathematical modelMathematical models; Numerical methods; Sewer sediments; Systems analysis; Uncertainty; Urban drainage modelling; Water Science and TechnologySystems analysilawSewer sedimentConvergence (routing)StatisticsVenn diagramSensitivity (control systems)Urban drainage modellingReliability (statistics)MathematicsWater Science and Technology
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Modelling hydrolysis: Simultaneous versus sequential biodegradation of the hydrolysable fractions

2018

Hydrolysis is considered the limiting step during solid waste anaerobic digestion (including co-digestion of sludge and biosolids). Mechanisms of hydrolysis are mechanistically not well understood with detrimental impact on model predictive capability. The common approach to multiple substrates is to consider simultaneous degradation of the substrates. This may not have the capacity to separate the different kinetics. Sequential degradation of substrates is theoretically supported by microbial capacity and the composite nature of substrates (bioaccessibility concept). However, this has not been experimentally assessed. Sequential chemical fractionation has been successfully used to define i…

[SDV.BIO]Life Sciences [q-bio]/BiotechnologyBiosolidsSEQUENTIAL EXTRACTIONANAEROBIC DIGESTIONBIODEGRADATION02 engineering and technology010501 environmental sciencesTRITICUM AESTIVUM01 natural sciences7. Clean energyNUMERICAL MODELSLUDGE DIGESTIONBioreactorsMETHANEBIOLOGICAL MATERIALSACTIVATED SLUDGE0202 electrical engineering electronic engineering information engineeringAnaerobiosisSequential modelPRIORITY JOURNALWaste Management and DisposalComputingMilieux_MISCELLANEOUSCALIBRATIONSewageCONCENTRATION (PARAMETER)ChemistryFRACTIONATIONACID HYDROLYSISINCUBATION TIMEMODELLINGHYDROLYSISCHEMICAL FRACTIONATIONSEQUENTIAL DEGRADATIONBiodegradation EnvironmentalWASTE TREATMENTORGANIC MATTER[SDE]Environmental SciencesANAEROBIC DIGESTION MODELADM1SOLID WASTE020209 energyMODELSFractionationCAPACITYHydrolysisDIGESTIONISOTOPIC FRACTIONATIONNONHUMANCHEMICAL OXYGEN DEMANDARTICLEMODEL SELECTION0105 earth and related environmental sciencesChromatographyModels TheoreticalSUBSTRATESBiodegradationSIMULTANEOUS DEGRADATIONHOMOGENEOUS MATERIALSAnaerobic digestionWASTE WATER MANAGEMENTActivated sludgeAPPLEDegradation (geology)Waste Management
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Global sensitivity analysis in wastewater applications: A comprehensive comparison of different methods

2013

Three global sensitivity analysis (GSA) methods are applied and compared to assess the most relevant processes occurring in wastewater treatment systems. In particular, the Standardised Regression Coefficients, Morris Screening and Extended-FAST methods are applied to a complex integrated membrane bioreactor (MBR) model considering 21 model outputs and 79 model factors. The three methods are applied with numerical settings as suggested in literature. The main objective considered is to classify important factors (factors prioritisation) as well as non-influential factors (factors fixing). The performance is assessed by comparing the most reliable method (Extended-FAST), by means of proposed…

EngineeringEnvironmental EngineeringSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryCalibration (statistics)MBR modellingEcological ModelingWastewater treatmentGlobal sensitivity analysicomputer.software_genreSimilarity (network science)RankingGlobal sensitivity analysisCalibrationLinear regressionRange (statistics)Variance decomposition of forecast errorsData miningSensitivity (control systems)businesscomputerSoftwareEnvironmental Modelling & Software
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Numerical solution of a multi-class model for batch settling in water resource recovery facilities

2017

In Torfs et al. (2017) a new unified framework to model settling tanks in water resource recovery facilities was proposed providing a set of partial differential equations (PDEs) modelling different settling unit processes in wastewater treatment such as primary and secondary settling tanks (PSTs and SSTs). The extension to a multi-class framework to deal with the distributed properties of the settling particles leads to a system of non-linear hyperbolic-parabolic PDEs whose solutions may contain very sharp transitions. This necessitates the use of a consistent and robust numerical method to obtain well-resolved and reliable approximations to the PDE solutions. The use of implicit–explicit …

Mathematical optimizationPartial differential equationDiscretizationApplied MathematicsReliability (computer networking)Numerical analysisRelaxation (iterative method)010103 numerical & computational mathematics01 natural sciences6. Clean water010101 applied mathematicsSet (abstract data type)SettlingModeling and Simulation0101 mathematicsConvection–diffusion equationMathematicsApplied Mathematical Modelling
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