Modelling Aspects of Wastewater Treatment Processes
(1996) Abstract
 Wastewater treatment processes are inherently dynamic because of the large variations in the influent wastewater flow rate, concentration and composition. Moreover, these variations are to a large extent not possible to control. The adaptive behaviour of the involved microorganisms imposes further difficulties in terms of timevarying process parameters. Mathematical models and computer simulations are essential to describe, predict and control the complicated interactions of the processes. The number of reactions and organism species that are involved in the system may be very large. An accurate description of such systems can therefore result in highly complex models, which may not be very useful from a practical, operational point of... (More)
 Wastewater treatment processes are inherently dynamic because of the large variations in the influent wastewater flow rate, concentration and composition. Moreover, these variations are to a large extent not possible to control. The adaptive behaviour of the involved microorganisms imposes further difficulties in terms of timevarying process parameters. Mathematical models and computer simulations are essential to describe, predict and control the complicated interactions of the processes. The number of reactions and organism species that are involved in the system may be very large. An accurate description of such systems can therefore result in highly complex models, which may not be very useful from a practical, operational point of view.
A reduced order dynamic model, describing an activated sludge process performing carbonaceous removal, nitrification and denitrification with reasonable accuracy, is presented. The main objective is to combine knowledge of the process dynamics with mathematical methods for estimation and identification. The identifiability of the model is investigated using both offline and online methods, and its dynamic behaviour is validated by simulations of a recognized model. The information required by the identification algorithms is based on directly measurable realtime data. The simplified model may serve as a tool for predicting the dynamic behaviour of an activated sludge process, since the parameters can be tracked online during varying operating conditions. The model is aimed for operation and control purposes as an integral part of a hierarchical control structure.
The main objective of the work on settler modelling is to enlighten recent theoretical results. A new onedimensional settler model is compared to a traditional layer model by means of numerical simulations. Emphasis is put on the numerical solution¹s ability to approximate the analytical solution of the conservation law written as a nonlinear partial differential equation. The new settler model is consistent in this respect. Several problems that occur when integrating a model of the biological reactor with a model of the settler are also discussed. In particular, the concentrations of the biological components of the particulate material are of importance for an accurate description of the sludge that is recycled to the biological reactor. Two onedimensional algorithms have been evaluated. The first algorithm is commonly used and some of its inherent problems are discussed. The second algorithm is a new analytically derived method.
Few attempts have been made to take into account the influence of higher order organisms in biofilm systems when developing or applying mathematical models. This work describes a simplified modelling approach to include some possible effects of higher order organisms on nitrification, based on a proposed hypothesis of their oxygen consumption in the biofilm. Three different models are developed and investigated. Model simulations are validated using data from a laboratory experiment using continuousflow suspendedcarrier biofilm reactors, where the predators were selectively inhibited. The proposed models are capable of reproducing several of the observed effects. They are primarily aimed at capturing the steadystate behaviour of the biofilm but may also prove to be a useful basis for describing the dynamics. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/record/17599
 author
 Jeppsson, Ulf ^{LU}
 opponent

 Professor Patry, Gilles G., Dean, Faculty of Engineering, University of Ottawa, Canada
 organization
 publishing date
 1996
 type
 Thesis
 publication status
 published
 subject
 keywords
 Automatiska system, control engineering, robotics, Automation, thickening, solids flux, simulation, secondary clarifier, protozoa, predators, parameter estimation, model reduction, model identifiability, mathematical modelling, clarification, biofilm, activated sludge, robotteknik, reglerteknik
 pages
 428 pages
 publisher
 IEA, LTH, Box 118, SE221 00 Lund, Sweden,
 defense location
 Room M:B, Mbuilding, LTH
 defense date
 19960510 10:15
 external identifiers

 Other:ISRN: LUTEDX/(TEIE1010)/1444/(1996)
 ISBN
 9188934004
 language
 English
 LU publication?
 yes
 id
 2e09f4b94f1242d8a3c85fbeb359389c (old id 17599)
 date added to LUP
 20070524 09:44:24
 date last changed
 20160919 08:45:13
@misc{2e09f4b94f1242d8a3c85fbeb359389c, abstract = {Wastewater treatment processes are inherently dynamic because of the large variations in the influent wastewater flow rate, concentration and composition. Moreover, these variations are to a large extent not possible to control. The adaptive behaviour of the involved microorganisms imposes further difficulties in terms of timevarying process parameters. Mathematical models and computer simulations are essential to describe, predict and control the complicated interactions of the processes. The number of reactions and organism species that are involved in the system may be very large. An accurate description of such systems can therefore result in highly complex models, which may not be very useful from a practical, operational point of view.<br/><br> <br/><br> A reduced order dynamic model, describing an activated sludge process performing carbonaceous removal, nitrification and denitrification with reasonable accuracy, is presented. The main objective is to combine knowledge of the process dynamics with mathematical methods for estimation and identification. The identifiability of the model is investigated using both offline and online methods, and its dynamic behaviour is validated by simulations of a recognized model. The information required by the identification algorithms is based on directly measurable realtime data. The simplified model may serve as a tool for predicting the dynamic behaviour of an activated sludge process, since the parameters can be tracked online during varying operating conditions. The model is aimed for operation and control purposes as an integral part of a hierarchical control structure.<br/><br> <br/><br> The main objective of the work on settler modelling is to enlighten recent theoretical results. A new onedimensional settler model is compared to a traditional layer model by means of numerical simulations. Emphasis is put on the numerical solution¹s ability to approximate the analytical solution of the conservation law written as a nonlinear partial differential equation. The new settler model is consistent in this respect. Several problems that occur when integrating a model of the biological reactor with a model of the settler are also discussed. In particular, the concentrations of the biological components of the particulate material are of importance for an accurate description of the sludge that is recycled to the biological reactor. Two onedimensional algorithms have been evaluated. The first algorithm is commonly used and some of its inherent problems are discussed. The second algorithm is a new analytically derived method.<br/><br> <br/><br> Few attempts have been made to take into account the influence of higher order organisms in biofilm systems when developing or applying mathematical models. This work describes a simplified modelling approach to include some possible effects of higher order organisms on nitrification, based on a proposed hypothesis of their oxygen consumption in the biofilm. Three different models are developed and investigated. Model simulations are validated using data from a laboratory experiment using continuousflow suspendedcarrier biofilm reactors, where the predators were selectively inhibited. The proposed models are capable of reproducing several of the observed effects. They are primarily aimed at capturing the steadystate behaviour of the biofilm but may also prove to be a useful basis for describing the dynamics.}, author = {Jeppsson, Ulf}, isbn = {9188934004}, keyword = {Automatiska system,control engineering,robotics,Automation,thickening,solids flux,simulation,secondary clarifier,protozoa,predators,parameter estimation,model reduction,model identifiability,mathematical modelling,clarification,biofilm,activated sludge,robotteknik,reglerteknik}, language = {eng}, pages = {428}, publisher = {ARRAY(0x9b762b0)}, title = {Modelling Aspects of Wastewater Treatment Processes}, year = {1996}, }