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The PSE Model-Based Innovation Prize

We are pleased to announce the winners of the 2010 PSE Model-based Innovation Prizes. They are …

Excellent technical work proposing a new numerical method for the efficient solution of parabolic differential equations

Judges' comment

Winner

The winning publication for the €3000 prize is:

WENO scheme with static grid adaptation for tracking steep moving fronts

by Ala Eldin Bouaswaig & Sebastian Engell
Process Dynamics and Operations Group,Technische Universität Dortmund, 44221 Dortmund, Germany
Published in Chemical Engineering Science, 2009, 3214-3226
doi:10.1016/j.ces.2009.03.040.

Judges' review

This work presents a novel numerical method for the efficient solution of convention-dominated partial differential equations. The approach relies on a combination of a high-order weighted non-oscillatory scheme (WENOS) with a static moving grid. The proposed algorithm in integrated with gPROMS® , via a Foreign Process Interface, and illustrates excellent computational performance in several challenging problems.

[more] [full judges' comments].

Runners-up

The publications that are joint winners of the €1000 runners-up prizes are:

… a novel dynamic optimisation approach relying on a single shooting method combined … for the solution of large-scale problems

Judges' comment

  • Dynamic optimization of the load change of a large-scale chemical plant by adaptive single shooting

    by Arndt Hartwich, Wolfgang Marquardt, AVT-Process Systems Engineering, RWTH Aachen University, Turmstr. 46, 52064 Aachen, Germany
    Published in Computers and Chemical Engineering, 2010,  1873-1889
    doi:10.1016/j.compchemeng.2010.02.036.

    Judges' review

    This work presents a novel dynamic optimization approach relying on a single shooting method combined with adaptive control grid refinement for the solution of large-scale problems. The algorithm is tested in complex process flowsheets implemented in gPROMS and illustrates tremendous computational savings comparing with other conventional approached.

    [more] [full judges' comments].

  • A multi-level simulation platform of natural gas internal reforming solid oxide fuel cell–gas turbine hybrid generation system: Part I. Solid oxide fuel cell model library

    Very good work on developing a multi-scale validated modelling framework for solid oxide fuel cells

    Judges' comment

    by Cheng Bao a,b, Yixiang Shi b, Eric Croiset b,c, Chen Li b, Ningsheng Cai b, Mark Bucka
    [a] Department of Thermal Science and Energy Engineering, School of Mechanical Engineering, University of Science & Technology Beijing, Beijing 100083, PR China
    [b] Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, PR China
    [c] Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
    Published in Journal of Power Sources, 2010, 4871-4892
    doi:10.1016/j.jpowsour.2010.01.078.

    Judges' review

    This work presents an integrated hierarchical modelling framework of natural gas internal reforming solid oxide Fuel Cells. The framework illustrates gPROMS capabilities to integrate nicely several multi-scale models of different degrees of details and it constitutes the base for an advanced simulation platform of gas turbine power generation systems.

    [more] [full judges' comments].