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Cantú VH, Azzaro-Pantel C, Ponsich A. Constraint-handling techniques within differential evolution for solving process engineering problems. Appl Soft Comput 2021. [DOI: 10.1016/j.asoc.2021.107442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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2
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Bruns B, Herrmann F, Grünewald M, Riese J. Dynamic Design Optimization for Flexible Process Equipment. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c00306] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Bastian Bruns
- Faculty of Mechanical Engineering, Laboratory of Fluid Separations, Ruhr University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
| | - Felix Herrmann
- Faculty of Mechanical Engineering, Laboratory of Fluid Separations, Ruhr University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
| | - Marcus Grünewald
- Faculty of Mechanical Engineering, Laboratory of Fluid Separations, Ruhr University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
| | - Julia Riese
- Faculty of Mechanical Engineering, Laboratory of Fluid Separations, Ruhr University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
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3
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Pietschak A, Dixon AG, Freund H. A new heat transfer correlation suited for the design of fixed-bed reactors via numerical optimization. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115614] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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4
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Tian Y, Pappas I, Burnak B, Katz J, Pistikopoulos EN. A Systematic Framework for the synthesis of operable process intensification systems – Reactive separation systems. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2019.106675] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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5
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Multi-objective reactor design under uncertainty: A decomposition approach based on cubature rules. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2019.115304] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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6
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Freund H, Maußner J, Kaiser M, Xie M. Process intensification by model-based design of tailor-made reactors. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2019.08.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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7
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Xie X, Schenkendorf R. Robust optimization of a pharmaceutical freeze-drying process under non-Gaussian parameter uncertainties. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.06.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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8
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Kaiser M, Freund H. A multimodular pseudoheterogeneous model framework for optimal design of catalytic reactors exemplified by methanol synthesis. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.04.036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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9
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Tian Y, Pistikopoulos EN. Synthesis of operable process intensification systems: advances and challenges. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2018.12.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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10
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Bianga J, Künnemann KU, Gaide T, Vorholt AJ, Seidensticker T, Dreimann JM, Vogt D. Thermomorphic Multiphase Systems: Switchable Solvent Mixtures for the Recovery of Homogeneous Catalysts in Batch and Flow Processes. Chemistry 2019; 25:11586-11608. [DOI: 10.1002/chem.201902154] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Indexed: 01/19/2023]
Affiliation(s)
- Jonas Bianga
- Laboratory of Industrial Chemistry Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Straße 66 44227 Dortmund Germany
| | - Kai U. Künnemann
- Laboratory of Industrial Chemistry Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Straße 66 44227 Dortmund Germany
| | - Tom Gaide
- Laboratory of Industrial Chemistry Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Straße 66 44227 Dortmund Germany
| | - Andreas J. Vorholt
- Max-Planck Institute for Chemical Energy Conversion Stiftstraße 34–36 45740 Mülheim Germany
| | - Thomas Seidensticker
- Laboratory of Industrial Chemistry Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Straße 66 44227 Dortmund Germany
| | - Jens M. Dreimann
- Laboratory of Industrial Chemistry Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Straße 66 44227 Dortmund Germany
| | - Dieter Vogt
- Laboratory of Industrial Chemistry Department of Biochemical and Chemical Engineering TU Dortmund Emil-Figge-Straße 66 44227 Dortmund Germany
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11
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Nentwich C, Engell S. Surrogate modeling of phase equilibrium calculations using adaptive sampling. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.04.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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12
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Sivaramakrishnan K, Puliyanda A, Tefera DT, Ganesh A, Thirumalaivasan S, Prasad V. A Perspective on the Impact of Process Systems Engineering on Reaction Engineering. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b00280] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Kaushik Sivaramakrishnan
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Anjana Puliyanda
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Dereje Tamiru Tefera
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Ajay Ganesh
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Sushmitha Thirumalaivasan
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Vinay Prasad
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada
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Jokiel M, Rätze KHG, Kaiser NM, Künnemann KU, Hollenbeck JP, Dreimann JM, Vogt D, Sundmacher K. Miniplant-Scale Evaluation of a Semibatch-Continuous Tandem Reactor System for the Hydroformylation of Long-Chain Olefins. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.8b03874] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Michael Jokiel
- Department Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, D-39106 Magdeburg, Germany
| | - Karsten H. G. Rätze
- Otto-von-Guericke-University Magdeburg, Chair Process Systems Engineering, Universitätsplatz 2, D-39106 Magdeburg, Germany
| | - Nicolas M. Kaiser
- Otto-von-Guericke-University Magdeburg, Chair Process Systems Engineering, Universitätsplatz 2, D-39106 Magdeburg, Germany
| | - Kai U. Künnemann
- Laboratory of Industrial Chemistry, Department of Biochemical and Chemical Engineering, Technical University of Dortmund, Emil-Figge-Str. 66, D-44227 Dortmund, Germany
| | - Jan-Peter Hollenbeck
- Laboratory of Industrial Chemistry, Department of Biochemical and Chemical Engineering, Technical University of Dortmund, Emil-Figge-Str. 66, D-44227 Dortmund, Germany
| | - Jens M. Dreimann
- Laboratory of Industrial Chemistry, Department of Biochemical and Chemical Engineering, Technical University of Dortmund, Emil-Figge-Str. 66, D-44227 Dortmund, Germany
| | - Dieter Vogt
- Laboratory of Industrial Chemistry, Department of Biochemical and Chemical Engineering, Technical University of Dortmund, Emil-Figge-Str. 66, D-44227 Dortmund, Germany
| | - Kai Sundmacher
- Department Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, D-39106 Magdeburg, Germany
- Otto-von-Guericke-University Magdeburg, Chair Process Systems Engineering, Universitätsplatz 2, D-39106 Magdeburg, Germany
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14
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Tian Y, Pistikopoulos EN. Synthesis of Operable Process Intensification Systems—Steady-State Design with Safety and Operability Considerations. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b04389] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yuhe Tian
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
- Texas A&M Energy Institute, Texas A&M University, College Station, Texas 77843, United States
| | - Efstratios N. Pistikopoulos
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
- Texas A&M Energy Institute, Texas A&M University, College Station, Texas 77843, United States
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15
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Maußner J, Freund H. Efficient calculation of constraint back-offs for optimization under uncertainty: A case study on maleic anhydride synthesis. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.06.079] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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16
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Maußner J, Freund H. Optimization under uncertainty in chemical engineering: Comparative evaluation of unscented transformation methods and cubature rules. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.02.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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17
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The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design. Processes (Basel) 2018. [DOI: 10.3390/pr6040027] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In the field of chemical engineering, mathematical models have been proven to be an indispensable tool for process analysis, process design, and condition monitoring. To gain the most benefit from model-based approaches, the implemented mathematical models have to be based on sound principles, and they need to be calibrated to the process under study with suitable model parameter estimates. Often, the model parameters identified by experimental data, however, pose severe uncertainties leading to incorrect or biased inferences. This applies in particular in the field of pharmaceutical manufacturing, where usually the measurement data are limited in quantity and quality when analyzing novel active pharmaceutical ingredients. Optimally designed experiments, in turn, aim to increase the quality of the gathered data in the most efficient way. Any improvement in data quality results in more precise parameter estimates and more reliable model candidates. The applied methods for parameter sensitivity analyses and design criteria are crucial for the effectiveness of the optimal experimental design. In this work, different design measures based on global parameter sensitivities are critically compared with state-of-the-art concepts that follow simplifying linearization principles. The efficient implementation of the proposed sensitivity measures is explicitly addressed to be applicable to complex chemical engineering problems of practical relevance. As a case study, the homogeneous synthesis of 3,4-dihydro-1H-1-benzazepine-2,5-dione, a scaffold for the preparation of various protein kinase inhibitors, is analyzed followed by a more complex model of biochemical reactions. In both studies, the model-based optimal experimental design benefits from global parameter sensitivities combined with proper design measures.
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18
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Mansour M, Janiga G, Nigam K, Thévenin D, Zähringer K. Numerical study of heat transfer and thermal homogenization in a helical reactor. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2017.11.031] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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19
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Aydin E, Bonvin D, Sundmacher K. NMPC using Pontryagin’s Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2017.08.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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20
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21
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Kaiser NM, Jokiel M, McBride K, Flassig RJ, Sundmacher K. Optimal Reactor Design via Flux Profile Analysis for an Integrated Hydroformylation Process. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b01939] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Nicolas M. Kaiser
- Department
Process Systems Engineering, Otto-von-Guericke-University Magdeburg, Universitätsplatz 2, D-39106 Magdeburg, Germany
| | - Michael Jokiel
- Department
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, D-39106 Magdeburg, Germany
| | - Kevin McBride
- Department
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, D-39106 Magdeburg, Germany
| | - Robert J. Flassig
- Department
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, D-39106 Magdeburg, Germany
| | - Kai Sundmacher
- Department
Process Systems Engineering, Otto-von-Guericke-University Magdeburg, Universitätsplatz 2, D-39106 Magdeburg, Germany
- Department
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, D-39106 Magdeburg, Germany
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22
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Zähringer K, Wagner LM, Thévenin D, Siegmund P, Sundmacher K. Particle-image-velocimetry measurements in organic liquid multiphase systems for an optimal reactor design and operation. J Vis (Tokyo) 2017. [DOI: 10.1007/s12650-017-0435-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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