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A Vande Wouwer

Publications and source records attributed to A Vande Wouwer.

4 recordsLinked to original sources

Development and calibration of a nitrification PDE model based on experimental data issued from biofilter treating drinking water.

To remove ammonia for production of drinking water, nitrification can be performed in a bio-filter. At least 1 month is necessary to capture from the groundwater and then grow a sufficient amount of nitrifying bacteria to reach the desired removal efficiency. Improving start-up of bio-filters at low substrate concentration is therefore a major challenge. In this connection, it is important to develop appropriate models for designing, monitoring or analysing biofilm systems during start-up or following disinfection events. This study discusses the development and calibration of a nitrification PDE model which reflects the compromise between the complexity associated with the description of the full physical and biochemical mechanisms and the search for a simplified model with identifiable parameters. This model takes only the relevant phenomena (considering the full operating range) into account. The validity of the calibrated model has been evaluated through experiments under very different operational conditions, at the laboratory and under real industrial conditions, involving the full upstream chain of water treatment (iron oxidation and sand filter).

Ammonia↗

On a systematic procedure for the predetermination of macroscopic reaction schemes.

Macroscopic modeling of biological cell cultures involves two major steps: (a) the selection of a reaction scheme and (b) the determination of the reaction kinetics. The first step is usually accomplished based on prior knowledge, experimental investigation and trials and errors. This procedure can be time consuming, and more importantly, can lead to the selection of a reaction scheme omitting some important reaction pathways, or at the opposite, incorporating too many details (at least considering the data at hand and the modeling objectives). This paper addresses this modeling problem, and aims at the development of a method for systematically evaluating (i.e. setting up and comparing) all potential reaction schemes, based on a set of measured components, and satisfying structural identifiability properties. One of the main features of the method is that the yield (or pseudo-stoichiometric) coefficients can be estimated independently of the kinetics. The method is illustrated with simulation results and an experimental case study.

Algorithms↗

A general model of reaction kinetics in biological systems.

Dynamic mathematical models in biotechnology require, besides the information about the stoichiometry of the biological reaction system, knowledge about the reaction kinetics. Modulation phenomena like limitation, inhibition and activation occur in different forms of competition with the key enzymes responsible for the respective metabolic reaction steps. The identification of a priori unknown reaction kinetics is often a critical task due to the non-linearity and (over-) parameterization of the model equations introduced to account for all the possible modulation phenomena. The contribution of this paper is to propose a general formulation of reaction kinetics, as an extension of the Michaelis-Menten kinetics, which allows limitation/activation and inhibition effects to be described with a reduced number of parameters. The versatility of the new model structure is demonstrated with application examples.

Algorithms↗

Software sensors for bioprocesses.

State estimation is a significant problem in biotechnological processes, due to the general lack of hardware sensor measurements of the variables describing the process dynamics. The objective of this paper is to review a number of software sensor design methods, including extended Kalman filters, receding-horizon observers, asymptotic observers, and hybrid observers, which can be efficiently applied to bioprocesses. These several methods are illustrated with simulation and real-life case studies.

Algorithms↗