The PSE Model-Based Innovation Prize 2020
Judgement criteria and judges' comments
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.
Judges' comments – Winning paper
System model development and computer experiments for continuous API manufacturing by Boung Wook Lee*, Kehua Yin, Yangmu Chloe Liu, Alexander O’Brien of CMC Statistics, Biostatics, GlaxoSmithKline, USA; John J. Peterson, Greg S. Stockdale of Product Development & Supply, GlaxoSmithKline, USA.
Published in Chemical Engineering Research and Design, Elsevier.
This is an excellent work illustrating use of the full range of gPROMS FormulatedProducts modelling environment capabilities for the simulation, surrogate model development and global sensitivity analysis of an integrated flowsheet for the continuous manufacturing of Active Pharmaceutical Ingredients (API). A systematic computer experiments methodology was developed to build an accurate surrogate model, that allows for much faster simulations over the entire range of operating conditions. A global sensitivity analysis was also performed to thoroughly understand and quantify process parameter versus quality attribute relationships.
"An excellent work illustrating the use of gPROMS FormulatedProducts modelling environment for the simulation, surrogate model development and global sensitivity analysis of an integrated flowsheet for the continuous manufacturing of Active Pharmaceutical Ingredients (API)."
Judges' comments – Runners-up
Primary Drying Optimization in Pharmaceutical Freeze-Drying: A Multivial Stochastic Modeling Framework by Gabriele Bano, Riccardo De-Luca, Fabrizio Bezzo, Massimiliano Barolo* of CAPE-Lab, Department of Industrial Engineering, University of Padova, Italy; Emanuele Tomba, Agnese Marcelli of GSK, Siena, Italy.
Published in Industrial & Engineering Chemistry Research, American Chemical Society.
An excellent work illustrating the use of gPROMS ModelBuilder for the stochastic modelling, validation and optimization of a Pharmaceutical Freeze-Drying process. The framework relies on a number of sequential steps including model development, sensitivity analysis, model calibration, model validation, and dynamic optimization using gPROMS ModelBuilder. The proposed model was calibrated and validated with experimental data, to enhance predictive power.
"Nice work illustrating the use of gPROMS ModelBuilder for the stochastic modelling, validation and optimization of a pharmaceutical freeze-drying process."
Judges' comments – Runner-up
Integrated mathematical models for drinking water reservoirs and constructed wetlands as a tool for restoration planning by Amira Siniscalchi, Jimena Di Maggio, Vanina Estrada, M. Soledad Diaz* of Planta Piloto de Ingeniería Química (PLAPIQUI), Universidad Nacional del Sur (UNS)-CONICET, Argentina.
Published in Journal of Hydrology, Elsevier.
This is an unusual and interesting application of gPROMS ModelBuilder for the optimal design of wetlands systems taking into account key water quality concerns. The fact that a real case study involving the eutrophic Paso de las Piedras Reservoir, which supplies drinking water to two cities in Argentina and has two tributaries which run through an important agricultural area in the region, is used to illustrate the applicability of the proposed framework, adds to its relevance.
"This is a nice and interesting application of gPROMS ModelBuilder for the optimal design of wetlands systems taking into account key water quality concerns."
The MBI Prize judges
Prof. Stratos Pistikopoulos (Chair)
Professor Stratos Pistikopoulos is the Director of the Texas A&M Energy Institute and holds the Dow Chemical Chair in the Artie McFerrin Department of Chemical Engineering at Texas A&M University.
Associate Prof. Michael Georgiadis
Michael Georgiadis is Professor of Modelling, Optimisation and Control of Production Systems in the Department of Chemical Engineering at Aristotle University of Thessaloniki, Greece.