
The PSE Model-Based Innovation Prize
We are pleased to announce the winners of the 2011 PSE Model-based Innovation Prizes. They are …
Excellent work demonstrating gPROMS advanced capabilities in modelling and optimisation to define the optimal catalyst distribution in methane steam reforming reactor.
Winner
The winning publication for the €3000 prize is:
Optimizing the Catalyst Distribution for Counter-current Methane Steam Reforming in Plate Reactors
by Michael Baldea,The University of Texas at Austin
Monica Zanfir, Praxair Technology Center and
Prodromos Daoutidis, University of Minnesota.
Published in AICHE Journal, 09-01-2011
doi. 10.1002/aic.12474
Judges' review
This is an excellent paper demonstrating gPROMS capabilities in both modelling and optimisation to define the optimal catalyst distribution in plate reactors for methane steam reforming. It illustrates a novel gPROMS-based optimisation approach to this problem as well as the use of a dynamic model to obtain steady-state optimal solutions.l. Various process scales are considered.
[more] [full judges' comments].
… A nice new gPROMS application to restoration of eutrophic Lakes and reservoirs. Several dynamic models are properly integrated and used for optimisation purposes.
Runners-up
The publications that are joint winners of the €1000 runners-up prizes are:
Water sustainability: A systems engineering approach to restoration of eutrophic Lakes
by M.S. Diaz, V. Estrada, J. Di Maggio of Planta Piloto de Ingeniería Química (PLAPIQUI).
Published in Computers and Chemical Engineering,
Volume 35, Issue 8, 10 August 2011, Pages 1598-1613 .
doi:10.1016/j.compchemeng.2011.03.003
Judges' review
Very good paper illustrating a new gPROMS application to restoration of eutrophic Lakes and reservoirs. Detailed dynamic models (phytoplankton, zooplankton, fish, nutrients, particulate and dissolved carbon dynamics, etc) are nicely integrated in gPROMS. Both modelling and (dynamic) optimisation capabilities of gPROMS are clearly highlighted.
Very good work on the detailed modelling and optimisation of emulsion polymerisation processes. Model-based validation capabilities of gPROMS are nicely illustrated.
Transitional emulsion polymerisation: Zero-one to pseudo-bulk
by Simon M.Jung and Vincent G.Gomes, The University of Sydney. Published in Chemical Engineering Science, June 2011.
doi:10.1016/j.ces.2011.06.019Judges' review
Excellent paper demonstrating gPROMS capabilities for the detailed modelling and optimisation of emulsion polymerisation processes. Comparison with experimental work has been nicely made to illustrate the predictive power of the proposed models.




