Scientific Computing in Chemical Engineering

1. Modelling and simulation of complex biochemical processes, taking the Biogas Tower Reactor as an example

   • M. Pahl, Georg Reinhold, J. Lunze, H. Märkl

   Pages 170-182

2. Subspace Search Methods for Large Scale Nonlinear Optimization

   • Richard Rascher-Friesenhausen

   Pages 183-189

3. Computersimulation of the Self-Heating and Auto-Ignition of Activated Carbon Adsorbers

   • H. Raupenstrauch, G. Staudinger

   Pages 190-197

4. Optimization of Three-Dimensional Catalyst Pore Structures

   • Christina Rieckmann, Frerich J. Keil

   Pages 198-204

5. Bacterial Growth and Bioremediation

   • S. Schumacher, M. Slodicka

   Pages 205-211

6. Numerical Treatment of Diffusion-Reaction-Equations with the Method of Lines

   • Peter Seifert

   Pages 212-218

7. An Adaptive Algorithm for Solving the Biharmonic Equation on Sparse Grids

   • Thomas Störtkuhl

   Pages 219-225

8. Parameter Estimation in Chemical Engineering, a case study for resin production

   • W. J. H. Stortelder

   Pages 226-238

9. Modelling of Chemical Reaction Systems — Parameter Redundancy and Effective Kinetics

   • Josef Wagenhuber

   Pages 239-245

10. A Wavelet-Galerkin Method applied to Separation Processes

    • R. v. Watzdorf, K. Urban, W. Dahmen, W. Marquardt

    Pages 246-252

11. Application of Automatically Reduced Reaction Mechanisms in the Calculation of Turbulent Reactive Flows

    • A. Wölfert, M. Nau, U. Maas, J. Warnatz

    Pages 253-259

Scientific Computing in Chemical Engineering gives the state of the art from the point of view of the numerical mathematicians as well as from the engineers. The application of modern methods in numerical mathematics on problems in chemical engineering, especially reactor modeling, process simulation, process optimization and the use of parallel computing is detailed.

• Catalysis
• Chemieingenieurwesen
• Computeranwendung
• Computing
• Prozeßsimulation
• RSI
• Simulation
• chemical engineering
• computer simulation
• numerical methods
• optimization
• process engineering
• process optimization
• scientific computing
• separation process

• Lehrstuhl für Chemische Reaktionstechnik, Technische Universität Hamburg-Harburg, Germany

  Frerich Keil

• Arbeitsbereich Mathematik, Technische Universität Hamburg-Harburg, Germany

  Wolfgang Mackens, Heinrich Voß

• Technische Universität Hamburg-Harburg, Germany

  Joachim Werther

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