PSE Model-Based Innovation Prize
Panel of judges
Submissions will be judged by the panel of three leading academics in the field of Process Systems Engineering:
Prof. Stratos Pistikopoulos (Chair)
Stratos Pistikopoulos is Professor of Chemical Engineering at Imperial College London and the Director of its Centre for Process Systems Engineering (CPSE).
Prof. Rafiqul Gani
Rafiqul Gani is Professor in Systems Design at the Department of Chemical Engineering, Technical University of Denmark, co-editor of Computers and Chemical Engineering and Member of the Executive Board of the European Federation of Chemical Engineers.
Asst. Prof. Michael Georgiadis
Michael Georgiadis is Associate Professor in the Department of Engineering Informatics at University of Western Macedonia, Greece and Honorary Research Fellow at Imperial College London.
Judges' comments and judgement criteria
The judges made the following comments about the winning paper:
Our summary of "Model-Based optimal strategies for controlling particle size in antisolvent crystallization operations" by Jose Romagnoli, S.M. Nowee, and Ali Abbas is as follows
"This paper presents a model-based optimal strategy for the control of particle size in antisolvent crystallization. First, a detailed dynamic model is introduced which incorporates knowledge of the ternary solute-solvent-antisolvent equilibrium and crystallization kinetics. The model is implemented and validated in gPROMS.
An experimental unit including the necessary instrumentation and control system provides the basis for model and control validation. To this end, an off-line dynamic optimization problem is formulated and solved using gPROMS's optimization capabilities. Three different objective functions are considered: (i) maximization of final mean size (ii) achievement of desired final mean size and (iii) maximization of nucleation rate. Both end-point and path constraints are imposed.
The derived control strategies have been then experimentally validated and a very good agreement between the model predictions with the real experimental measurements has been observed. Furthermore, the effect of difference operating conditions on the antisolvent feed profile was systematically studied.
The model-based approach presented in this work allows the systematic development of optimal operating strategies of antisolvent crystallization. Such a gPROMS-based strategy is generic to be readily implemented for control of particle size of pharmaceuticals or fine chemicals."
Judgement criteria
Papers were judged against the following specific five criteria, taking into account the general guidelines published on the PSE website:
- Innovation with respect to model-based concepts [25%]
- Innovation with respect to construction and application of gPROMS models [25%]
- Innovation with respect to integration, use and implementation of model-based activities [25%]
- Scope and significance of the results obtained [15%]
- Overall scientific interest and relevance [10%].
As by definition the papers have already been reviewed and accepted for publication they are deemed to have scientific merit, and were thus not judged explicitly on this criterion other than to award ‘tie-breaker’ points in the last category.
Implicitly taken into account were the modelling themes that PSE is promoting for advanced process modelling and model-based innovation in general:
- high-fidelity modelling, going to chemical engineering first principles where possible
- model validation using experimental data in order to integrate theoretical models to observed values
- multipurpose process modelling – i.e. using the same model for a variety of model-based activities in order to enhance return on modelling investment.
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