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Batch process optimization via run-to-run constraints adaptation

Related publications (38)

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On the Use of Transient Information for Static Real-Time Optimization

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti

Optimal operation of chemical processes is key for meeting productivity, quality, safety and environmental objectives. Both model-based and data-driven schemes are used to compute optimal operating conditions [1]: - The model-based techniques are intu ...

2015

Statistical analysis of optimal energy and security controls under different sources of uncertainties

Mokhtar Bozorg, Omid Alizadeh Mousavi

The management of uncertainties is a challenging task for reliable and secure operation of power systems. The uncertainties come from multiple sources, including the forecast errors of wind power and load, the forced outage of generating units, loss of tra ...

IEEE2014

Rotor Design Optimization for a Reaction Sphere Actuator

Yves Perriard, Leopoldo Rossini

This paper presents the rotor design optimization for a reaction sphere (RS) actuator. The RS is a permanent-magnet synchronous spherical actuator whose rotor is magnetically levitated and can be accelerated about any desired axis. The RS is composed of an ...

Institute of Electrical and Electronics Engineers2014

Real-Time Optimization when the Plant and the Model have Different Inputs

Dominique Bonvin, Grégory François, Sean Costello

Model-based optimization is an increasingly popular way of determining the values of the degrees of freedom in a process. The difficulty is that the available model is often inaccurate. Iterative set-point optimization, also known as modifier adaptation, o ...

2013

Real-Time Optimization in the Presence of Uncertainty

Dominique Bonvin

This presentation discusses real-time optimization (RTO) strategies for improving process performance in the presence of uncertainty in the form of plant-model mismatch, drifts and disturbances. RTO typically uses a plant model to compute optimal inputs. I ...

2012

Model Adequacy for Real-Time Optimization

Dominique Bonvin

Optimization is important in science and engineering as a way of finding ”optimal” situations, designs or operating conditions. Optimization is typically performed on the basis of a mathematical model of the process under investigation. In practice, optimi ...

2012

Energy system design under uncertainty

Matthias Dubuis

The current context leads energy system design to very demanding objectives, due to their variety. Indeed, despite an increasing energy demand, environment indicators are becoming always more important. So that for a given service, emission (and then assoc ...

EPFL2012

Real-Time Optimization  in the Presence of Uncertainty

Dominique Bonvin

2011

Numerical Simulation and Optimization of the Alumina Distribution in an Aluminium Electrolysis Pot

Thomas Hofer

This thesis is about the numerical simulation and optimization of the alumina repartition in the bath of an aluminium electrolysis pot. A mathematical model is set up which contains the feeding of alumina particles to the bath, the dissolution of the parti ...

EPFL2011

Méthodologie de la synthèse des systèmes énergétiques industriels

Raffaele Bolliger

This work presents a synthesis method that leads to the preliminary design of industrial energy systems. Such systems are composed of several technologies that transform, through a set of physical unit operations, raw materials and energy into products and ...

EPFL2010