The PSE Model-Based Innovation Prize
The runners up are...
Online Model-Based Redesign of Experiments for Parameter Estimation in Dynamic Systems by Federico Galvanin, Massimiliano Barolo, and Fabrizio Bezzo*
Padova University
Dr. Massimiliano Barolo
Padova University
Dr. Fabrizio Bezzo
Padova University
In this paper, a strategy for the online model-based redesign of experiments is proposed to exploit the information as soon as it is generated from the execution of an experiment, and its performance is compared to that of a standard optimal experiment design approach. Intermediate parameter estimations are carried out while the experiment is running, and by exploiting the information obtained, the experiment is partially redesigned before its termination, with the purpose of updating the experimental settings to generate more valuable information for subsequent analysis. This leads to a reduction in the number of experimental trials that are needed to reach a statistically sound estimation of the model parameters and results in a reduction of experimental time, raw materials needs, number of samples to be analyzed, control effort, and labor. Two simulated case studies in gPROMS of increasing level of complexity are used to demonstrate the applicability and benefits of the proposed approach with respect to a state-of-the-art sequential model-based experiment design.
Mr. Federico Galvanin obtained his degree in Chemical Engineering at the University of Padova in 2006. After being involved in an industrial collaborative research, in 2007 he started his PhD project in Chemical Engineering at the University of Padova. His research is related to the development of novel model based techniques for the design of experiments in dynamic systems. He published several papers on the same topic in international research journals and conference proceedings.Dr. Massimiliano Barolo is an Associate Professor of Chemical Engineering at the School of Engineering of Padova University. After a work experience as a process engineer in a petrochemical company, he received the Ph.D. degree in Chemical Engineering in 1994. His main research activities are in the field of modeling, dynamic analysis, monitoring, and control of chemical and physiologic processes. He is the author or co-author of over 80 scientific papers published in international research journals, conference proceedings, and international books. He is also the co-author of 4 teaching monographs (in Italian). He is the co-recipient of the Elsevier/IFAC "Journal of Process Control Application Paper Prize" for the best paper published in the period 2005–2008.
Dr. Fabrizio Bezzois Assistant Professor of Chemical Engineering at the School of Engineering of Padova University. He received his degree in Chemical Engineering at the University of Padova in 1998 and his PhD at the Centre for Process Systems Engineering at Imperial College London (UK). In 2002 he joined the Department of Chemical Engineering (DIPIC) at the University of Padova first as a post-doc and then, since 2005, as Assistant Professor. He is the author or co-author of over 50 scientific papers published in international research journals, conference proceedings, and books. In 2006 he was awarded the first Veneto Prize for Innovation for his work in the integration of Computational Fluid Dynamics and Process Simulation.
Optimization of PSA process for producing enriched hydrogen from plasma reactor gas by Qinglin Huang, Amir Malekian, Mladen Eic*
University of New Brunswick
This paper presents a rigorous Pressure Swing Adsorption Model (PSA) model for high purity hydrogen production. The non-isothermal, bulk separation with variable superficial velocity and dispersion coefficient, linear driving force approximation for particle uptake, and Langmuir isotherm to represent adsorption equilibrium were applied in the PSA modeling. The model was implemented in gPROMS. Extensive simulation results involving parametric studies of PSA separation performance were well matched with the experimental results using an activated carbon made from coconut shell as an adsorbent. The optimal operating conditions for the separation of 50%H2/50%CH4 mixture in a laboratory-scale PSA unit, and the separation of 25%H2/75%CH4 mixture, representing exit gas from plasma reactor, in a pilot-scale PSA unit were obtained gPROMS's dynamic optimization capabilities.
Professor Mladen Eić
University of New Brunswick
His research interests are in modelling of pressure swing adsorption process, and adsorption and diffusion characterization of novel mesoporous material and adsorbent. Mladen Eić received his Bachelor in Industrial Chemistry from Sarajevo University, Bosnia & Herzegovina, Masters in Chemical Engineering from University of Zagreb, Croatia, and Worcester Polytechnic Institute, United States, and PhD in Chemical Engineering from University of New Brunswick, Canada. He is professor at University of New Brunswick, Canada and adjunct professor at Laval University, Canada. He is also a member of editorial board of Adsorption Journal.
Dr. Eić has developed, in collaboration with Dr. Douglas M. Ruthven, a gas chromatographic method called the “Zero Length Column” (ZLC) technique. This technique has been widely used for mass transfer measurements in molecular sieves and nano-porous materials. His research interests are in surface ccharacterization of novel micro- and meso-porous adsorbents and catalysts, zeolite based adsorption processes in air pollution control, modelling of pressure swing adsorption separation process, and inorganic membranes.
The organisers would like to thank all those who submitted entries for their interest and efforts. You are encouraged to submit an entry in next year's event, which will be announced in the first quarter of 2010.
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