Julien Léo Billeter

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Generalized Incremental Model Identification for Chemical Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues, Adrien Oulevey

Identification of kinetic models and estimation of kinetic parameters in chemical reaction systems can be done using Incremental Model Identification (IMI). By using IMI, it is possible to separate the effect of the different reactions and thus investigate ...

2017

Shape constrained splines as transparent black-box models for bioprocess modeling

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Empirical model identification for biological systems is a challenging task due to the combined effects of complex interactions, nonlinear effects, and lack of specific measurements. In this context, several researchers have provided tools for experimental ...

Elsevier2017

Semi-analytical Solutions for Tubular Chemical Reactors

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues

The one-dimensional tubular reactor model with advection and possibly axial diffusion is the classical model of distributed chemical reaction systems. This system is described by partial differential equations that depend on the time t and the spati ...

Elsevier2017

Reaction extents: A Divide-and-Conquer Approach for Kinetic Model Identification

Dominique Bonvin, Julien Léo Billeter

Obtaining reliable wastewater treatment process models is critical for the application of model-based design, operation, and automation. For example, Masic et al. (2014) explored the use of an observer designed for nonlinear processes to estimate nitrite i ...

2017

Identification of Biokinetic Models Using the Concept of Extents

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

The development of a wide array of process technologies to enable the shift from conventional biological wastewater treatment processes to resource recovery systems is matched by an increasing demand for predictive capabilities. Mathematical models are exc ...

Amer Chemical Soc2017

Data Reconciliation for Reaction Systems Using Extents and Shape Constraints

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Concentrations measured during the course of reactions are typically corrupted by random noise. Data reconciliation techniques improve the accuracy of measurements by using redundancies in the material and energy balances expressed as relationships between ...

Elsevier2017

Incremental Kinetic Modeling of Spectroscopic Data using a Reduced Calibration Model

Dominique Bonvin, Julien Léo Billeter

The identification of kinetic models is an important step for the monitoring, control and optimization of chemical processes. Kinetic models are often based on first principles that describe the evolution of concentrations by means of conservation and cons ...

2017

ALS Scheme using Extent-based Constraints for the Analysis of Chemical Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Michael Amrhein

Multivariate curve resolution via alternating least squares (ALS) is used to resolve the concentration profiles C and the pure component spectra E of S species from the multivariate absorbance data A, assuming the bilinear model ...

2016

Fast Estimation of Plant Steady State, with Application to Static RTO

Dominique Bonvin, Julien Léo Billeter, Michael Amrhein, Diogo Filipe Mateus Rodrigues

Experimental assessment or prediction of plant steady state is important for many applications in the area of modeling and operation of continuous processes. For example, the iterative implementation of static real-time optimization requires reaching stead ...

2016

On the Use of Shape-Constrained Splines for Biokinetic Process Modelling

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Identification of mathematical models is an important task for the design and the optimization of biokinetic processes. Monod or Tessier growth-rate models are often chosen by default, although these models are not able to represent the dynamics of all bac ...

Elsevier Science Bv2016

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