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Dominique Bonvin

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Publications associées (238)

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

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Dominique Bonvin

This work considers the numerical optimization of constrained batch and semi-batch processes, for which direct as well as indirect methods exist. Direct methods are often the methods of choice, but they exhibit certain limitations related to the compromise ...

Elsevier2017

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

Michael Amrhein, Dominique Bonvin, Julien Léo Billeter

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

Michael Amrhein, Dominique Bonvin, Julien Léo Billeter, 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

Real-Time Optimization Based on Adaptation of Surrogate Models

Dominique Bonvin, Alejandro Gabriel Marchetti, Martand Singhal, Timm Faulwasser

Recently, different real-time optimization (RTO) schemes that guarantee feasibility of all RTO iterates and monotonic convergence to the optimal plant operating point have been proposed. However, simulations reveal that these schemes converge very slowly t ...

Elsevier Science Bv2016

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

On the various local solutions to a two-input dynamic optimization problem

Dominique Bonvin

Solving a multi-input dynamic optimization of a batch processes is a complex problem involving interactions between input variables and constraints over time. The problem gets more difficult due to the presence of local solutions that have almost the same ...

Elsevier2016

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Dominique Bonvin, Grégory François, Sean Costello

The steady advances of computational methods make model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. The traditional remedy is to update the model parameters, but th ...

Elsevier2016

Biokinetic Model Identification via Extents of Reaction

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Model structure selection and parameter identification for biokinetic modeling of biological wastewater treatment processes is broadly accepted to be a complicated task. Contributing factors include (i) nonlinear behavior, (ii) lack of knowledge, (iii) lac ...

2016

Linking Models and Experiments

Dominique Bonvin, Diogo Filipe Mateus Rodrigues, René Uwe Schneider

This position paper gives an overview of the discussion that took place at FIPSE 2 at Aldemar Resort, east of Heraklion, Crete, in June 21-23, 2014. This is the second conference in the series "Future Innovation in Process Systems Engineering" (http://fi-i ...

Amer Chemical Soc2016

Optimal Load Sharing of Parallel Compressors via Modifier Adaptation

Dominique Bonvin, Alejandro Gabriel Marchetti, Timm Faulwasser, Predrag Milosavljevic

2016

On the use of shape constraints for state estimation in reaction systems

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

State estimation techniques are used for improving the quality of measured signals and for reconstructing unmeasured quantities. In chemical reaction systems, nonlinear estimators are often used to improve the quality of estimated concentrations. These non ...

Elsevier Science Bv2016

Identification of Multiphase Reaction Systems with Instantaneous Equilibria

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

The identification of kinetic models for multiphase reaction systems is complex due to the simultaneous effect of chemical reactions and mass transfers. The extentbased incremental approach simplifies the modeling task by transforming the reaction system i ...

American Chemical Society2016

Modifier Adaptation for Real-Time Optimization -- Methods and Applications

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti, Timm Faulwasser

This paper presents an overview of the recent developments of modifier-adaptationschemes for real-time optimization of uncertain processes. These schemes have the ability to reach plant optimality upon convergence despite the presence of structural plant-m ...

MDPI2016

Time-Optimal Path-Following Operation in the Presence of Uncertainty

Dominique Bonvin, Alejandro Gabriel Marchetti, Timm Faulwasser, Predrag Milosavljevic

Path-following tasks, which refer to dynamic motion planning along pre-specified geometric references, are frequently encountered in applications such as milling, robot-supported measurements, and trajectory planning for autonomous vehicles. Different conv ...

Ieee2016

Biokinetic process model diagnosis with shape-constrained spline functions

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Model-structure identification is important for the optimization and design of biokinetic processes. Standard Monod and Tessier functions are often used by default to describe bacterial growth with respect to a substrate, leading to significant optimizatio ...

2016

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Dominique Bonvin, Predrag Milosavljevic, René Uwe Schneider

The desire to operate chemical processes in a safe and economically optimal way has motivated the development of so-called real-time optimization (RTO) methods [1]. For continuous processes, these methods aim to compute safe and optimal steady-state set ...

2016

Application of Real-Time Optimization Methods to Energy Systems in the Presence of Uncertainties and Disturbances

Dominique Bonvin, Grégory François, Sean Costello

In practice, the quest for the optimal operation of energy systems is complicated by the presence of operating constraints, which includes the need to produce the power required by the user, and by the need to account for uncertainty. The latter concept in ...

2015

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