Publications IMPRS ProEng

Bechtel, S.; Sorrentino, A.; Vidaković-Koch, T.; Weber, A. Z.; Sundmacher, K.: Electrochemical gas phase oxidation of hydrogen chloride to chlorine: Model-based analysis of transport and reaction mechanisms. Electrochimica Acta 324, 134780 (2019)

Benner, P.; Trautwein, C.: Optimal Control Problems Constrained by the Stochastic Navier-Stokes Equations with Multiplicative Lévy Noise. Mathematische Nachrichten 292 (7), pp. 1444 - 1461 (2019)

Bremer, J.; Sundmacher, K.: Operation range extension via hot-spot control for catalytic CO₂ methanation reactors. Reaction Chemistry & Engineering 6 (4), pp. 1019 - 1037 (2019)

Carneiro, T.; Bhandari, S.; Temmel, E.; Lorenz, H.; Seidel-Morgenstern, A.: Shortcut Model for Describing Isothermal Batch Preferential Crystallization of Conglomerates and Estimating the Productivity. Crystal Growth & Design 19, pp. 5189 - 5203 (2019)

Chi, C.; Janiga, G.; Zähringer, K.; Thévenin, D.: DNS study of the optimal heat release rate marker in premixed methane flames. Proceedings of the Combustion Institute 37, pp. 2363 - 2371 (2019)

Emenike, V. N.; Xie, X.; Schenkendorf, R.; Spiess, A. C.; Krewer, U.: Robust dynamic optimization of enzyme-catalyzed carboligation: A point estimate-based back-off approach. Computers & Chemical Engineering 121, pp. 232 - 247 (2019)

Eshghinejadfard, A.; Hosseini, S. A.; Thévenin, D.: Effect of particle density in turbulent channel flows with resolved oblate spheroids. Computers & Fluids 184, pp. 29 - 39 (2019)

Fechtner, M.; Kienle, A.: Equilibrium theory of ion exchange chromatography with variable solution normality and steric hindrance. Chemical Engineering Science 199, pp. 508 - 527 (2019)

Hayat, A.; An, X.; Qamar, S.; Warnecke, G.; Seidel-Morgenstern, A.: Theoretical Analysis of Forced Segmented Temperature Gradients in Liquid Chromatography. Processes 7 (11), 846 (2019)

Horosanskaia, E.; Triemer, S.; Seidel-Morgenstern, A.; Lorenz, H.: Purification of Artemisinin from the Product Solution of a Semisynthetic Reaction within a Single Crystallization Step. Organic Process Research & Development 23 (9), pp. 2074 - 2079 (2019)

Hosseini, S. A.; Coreixas, C.; Darabiha, N.; Thévenin, D.: Stability of the lattice kinetic scheme and choice of the free relaxation parameter. Physical Review E 99, 063305 (2019)

Hosseini, S. A.; Coreixas, C.; Darabiha, N.; Thévenin, D.: Extensive analysis of the lattice Boltzmann method on shifted stencils. Physical Review E 100 (6), 063301 (2019)

Hosseini, S. A.; Darabiha, N.; Thévenin, D.: Lattice Boltzmann advection-diffusion model for conjugate heat transfer in heterogeneous media. International Journal of Heat and Mass Transfer 132, pp. 906 - 919 (2019)

Hosseini, S. A.; Darabiha, N.; Thévenin, D.: Theoretical and numerical analysis of the lattice kinetic scheme for complex-flow simulations. Physical Review E 99 (2), 023305 (2019)

Hosseini, S. A.; Safari, H.; Darabiha, N.; Thévenin, D.; Krafczyk, M.: Hybrid Lattice Boltzmann-finite difference model for low mach number combustion simulation. Combustion and Flame 209, pp. 394 - 404 (2019)

Jokiel, M.; Rätze, K.; Kaiser, N. M.; Künnemann, K.; Hollenbeck, J.-P.; Dreimann, J. M.; Vogt, D.; Sundmacher, K.: Miniplant-Scale Evaluation of a Semibatch-Continuous Tandem Reactor System for the Hydroformylation of Long-Chain Olefins. Industrial and Engineering Chemistry Research 58 (7), pp. 2471 - 2480 (2019)

Keßler, T.; Kunde, C.; Linke, S.; McBride, K.; Sundmacher, K.; Kienle, A.: Systematic Selection of Green Solvents and Process Optimization for the Hydroformylation of Long-Chain Olefines. Processes 7 (12), 882 (2019)

Koch, S.; Kohrs, F.; Lahmann, P.; Bissinger, T.; Wendschuh, S.; Benndorf, D.; Reichl, U.; Klamt, S.: RedCom: A strategy for reduced metabolic modeling of complex microbial communities and its application for analyzing experimental datasets from anaerobic digestion. PLoS Computational Biology 15 (2), e1006759 (2019)

Kunde, C.; Keßler, T.; Linke, S.; McBride, K.; Sundmacher, K.; Kienle, A.: Surrogate Modeling for Liquid–Liquid Equilibria Using a Parameterization of the Binodal Curve. Processes (7), 753 (2019)

Liesche, G.; Sundmacher, K.: Productivity versus product quality: Exploring the limits of autothermal microchannel reactors in methane steam reforming. Chemical Engineering Journal (ISCRE 25 Special Issue) 377, 120048 (2019)

Liesche, G.; Sundmacher, K.: Radiation-based model reduction for the optimization of high temperature tube bundle reactors: Synthesis of hydrogen cyanide. Computers and Chemical Engineering 127, pp. 186 - 199 (2019)

Lindhorst, H.; Lucia, S.; Findeisen, R.; Waldherr, S.: Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. IEEE Control Systems Letters 3 (2), pp. 248 - 253 (2019)

Rätze, K.; Jokiel, M.; Kaiser , N. M.; Sundmacher, K.: Cyclic Operation of a Semi-Batch Reactor for the Hydroformylation of Long-Chain Olefins and Integration in a Continuous Production Process. Chemical Engineering Journal (ISCRE 25 Special Issue) 377, 120453 (2019)

Reeh, H.; Rudolph, N.; Billing, U.; Christen, H.; Streif, S.; Bullinger, E.; Schliemann-Bullinger, M.; Findeisen, R.; Schaper, F.; Huber, H. J. et al.; Dittrich, A.: Response to IL-6 trans- and IL-6 classic signalling is determined by the ratio of the IL-6 receptor α to gp130 expression: fusing experimental insights and dynamic modelling. Cell Communication and Signaling 17, 46 (2019)

Schack, D.; Liesche, G.; Sundmacher, K.: Simultaneous Heat and Mass Flow Optimization of a Distillation Column Applying the FluxMax Approach. Chemical Engineering Transactions 76, pp. 337 - 342 (2019)

Temmel, E.; Eicke, M.; Cascella, F.; Seidel-Morgenstern, A.; Lorenz, H.: Resolution of Racemic Guaifenesin Applying a Coupled Preferential Crystallization-Selective Dissolution Process: Rational Process Development. Crystal Growth & Design 19, pp. 3148 - 3157 (2019)

Uebbing, J.; Rihko-Struckmann, L.; Sundmacher, K.: Exergetic assessment of CO₂ methanation processes for the chemical storage of renewable energies. Applied Energy 233–234, pp. 271 - 282 (2019)

Vorhauer, N.; Altaf, H.; Tsotsas, E.; Vidaković-Koch, T.: Pore Network Simulation of Gas-Liquid Distribution in Porous Transport Layers. Processes 7 (9), 558 (2019)

Weinrich, S.; Koch, S.; Bonk, F.; Popp, D.; Benndorf, D.; Klamt, S.; Centler, F.: Augmenting Biogas Process Modeling by Resolving Intracellular Metabolic Activity. Frontiers in Microbiology 10, 1095 (2019)

Xie, X.; Schenkendorf, R.: Robust Process Design in Pharmaceutical Manufacturing under Batch-to-Batch Variation. Processes 7 (8), 509 (2019)

Xie, X.; Schenkendorf, R.: Robust optimization of a pharmaceutical freeze-drying process under non-Gaussian parameter uncertainties. Chemical Engineering Science 207, pp. 805 - 819 (2019)

Xie, X.; Schenkendorf, R.: Stochastic back-off-based robust process design for continuous crystallization of ibuprofen. Computers & Chemical Engineering 124, pp. 80 - 92 (2019)

Xie, X.; Schenkendorf, R.; Krewer, U.: The Effect of Correlated Kinetic Parameters on (Bio)Chemical Reaction Networks. Chemie Ingenieur Technik 91 (5), pp. 632 - 636 (2019)

Xie, X.; Schenkendorf, R.; Krewer, U.: Efficient sensitivity analysis and interpretation of parameter correlations in chemical engineering. Reliability Engineering & System Safety 187, pp. 159 - 173 (2019)

Emenike, V. N.; Xie, X.; Krewer, U.; Schenkendorf, R.: A point estimate method-based back-off approach to robust optimization: application to pharmaceutical processes. In: 29th European Symposium on Computer Aided Process Engineering: Computer Aided Chemical Engineering, Vol. 46, pp. 223 - 228. Elsevier (2019)

Matschek, J.; Bäthge, T.; Faulwasser, T.; Findeisen, R.: Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective. In: Handbook of Model Predictive Control: Control Engineering, pp. 169 - 198 (Eds. Raković, S. V.; Levine, W. S.). Springer International Publishing, Cham (2019)

Andonov, P.; Savchenko, A.; Findeisen, R.: Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. In: 2019 American Control Conference (ACC), pp. 2795 - 2800. 2019 American Control Conference (ACC), Philadelphia, PA, USA , July 10, 2019 - July 12, 2019. IEEE (2019)

Balicki, L.; Mlinarić, P.; Rave, S.; Saak, J.: System-Theoretic Model Order Reduction with pyMOR. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Vienna, Austria, February 18, 2019 - February 22, 2019. Proceedings in Applied Mathematics and Mechanics 19 (1), e201900459, (2019)

Di Cairano, S.; Bäthge, T.; Findeisen, R.: Modular Design for Constrained Control of Actuator-Plant Cascades. In: 2019 American Control Conference (ACC), pp. 1755 - 1760. 2019 American Control Conference (ACC), Philadelphia, PA, USA, July 10, 2019 - July 12, 2019. IEEE Xplore (2019)

Ibrahim, M.; Matschek, J.; Morabito, B.; Findeisen, R.: Hierarchical Model Predictive Control for Autonomous Vehicle Area Coverage. 21st IFAC Symposium on Automatic Control in Aerospace - ACA 2019, Cranfield, United Kingdom, August 27, 2019 - August 30, 2019. IFAC-PapersOnLine 52 (12), pp. 79 - 84 (2019)

Ibrahim, M.; Matschek, J.; Morabito, B.; Findeisen, R.: Improved Area Covering in Dynamic Environments by Nonlinear Model Predictive Path Following Control. 8th IFAC Symposium on Mechatronic Systems - MECHATRONICS 2019 , Vienna, Austria, September 04, 2019 - September 06, 2019. IFAC-PapersOnLine 52 (15), pp. 418 - 423 (2019)

Morabito, B.; Kienle, A.; Findeisen, R.; Carius, L.: Multi-mode Model Predictive Control and Estimation for Uncertain Biotechnological Processes. 12th International-Federation-of-Automatic-Control (IFAC) Symposium on Dynamics and Control of Process Systems including Biosystems (DYCOPS), Florianopolis, Brazil, April 23, 2019 - April 26, 2019. IFAC-PapersOnLine 52 (1), pp. 709 - 714 (2019)

Schulze, M.; Triemer, S.; Schenkendorf, R.; Seidel-Morgenstern, A.; Krewer, U.: Parameter identifiability of artemisinin synthesis using design of experiments. In Symposium on Pharmaceutical Engineering Research SPhERe. Symposium on Pharmaceutical Engineering Research SPhERe, Braunschweig, Germany, September 25, 2019 - September 27, 2019. (2019)

Andonov, P.; Savchenko, A.; Findeisen, R.: Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. 2019 American Control Conference (ACC), Philadelphia, PA, USA (2019)

Bechtel, S.; Vidaković-Koch, T.; Sundmacher, K.: Electrochemical Gas Phase Oxidation of Hydrogen Chloride to Chlorine: Model-based Analysis of Transport and Reaction Mechanisms. 70th Annual Meeting of the International Society of Electrochemistry, Durban, South Africa (2019)

Benner, P.; Grundel, S.; Mlinarić, P.: Clustering-Based Model Order Reduction for Nonlinear Network Systems. 4th Workshop on Model Reduction of Complex Dynamical Systems (MODRED 2019), Graz, Austria (2019)

Bhandari, S.; Carneiro, T.; Temmel, E.; Lorenz, H.; Seidel-Morgenstern, A.: Modeling Batch Preferential Crystallization for Conglomerates Forming Systems using Shortcut Models. ECCE12 – 12th European Congress of Chemical Engineering, Florence, Italy (2019)

Bremer, J.; Zimmermann, R. T.; Sundmacher, K.: Enhanced Fixed-Bed Reactor Flexibility through Optimal Control and Design for CO₂ Methanation. 12th European Congress of Chemical Engineering – ECCE 12, Florence, Italy (2019)

Chi, C.; Abdelsamie, A.; Thévenin, D.: A directional ghost-cell immersed boundary method for low-Mach reacting flows in complex geometries. 17th International Conference on Numerical Combustion, Aachen, Germany (2019)

Hayat, A.; An, X.; Qamar, S.; Warnecke, G.; Seidel-Morgenstern, A.: Theoretical analysis of forced segmented temperature gradients in liquid chromatography. Hirschegg Workshop on Conservation Laws, Hirschegg, Austria (2019)