Simulation and Optimization in Process Engineering

The Benefit of Mathematical Methods in Applications of the Chemical Industry
Erscheinungsjahr 2022
ISBN: 978-0-323-85043-8
Verlag: William Andrew Publishing

Buch, Englisch, 428 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 630 g

Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more.

With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights.

Zielgruppe

<p>Chemical engineers, process engineers, research and development staff in the process industry</p>

Autoren/Hrsg.

Bortz, Michael

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Chemische Verfahrenstechnik
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation

Inhaltsverzeichnis

1. The PC-SAFT Equation of State 2. Don't Search - Solve! Process Optimization Modeling with IDAES 3. Thinking Multicriteria - A Jackknife When it Comes to Optimization 4. Dynamic modelling, simulation, optimization 5. Solvent Recovery by Batch Distillation - Application of Multivariate Sensitivity Studies to High Dimensional Multi-Objective Optimization Problems 6. Modeling and Optimizing Dynamic Networks: Applications in Process Engineering and Energy Supply 7. The Use of Digital Twins to Overcome Low-redundancy Problems in Process Data Reconciliation 8. Real-Time Optimization of Batch Chemical Processes - Combining within-batch and batch-to-batch corrections 9. On economic operation of switchable chlor-alkali electrolysis for demand side management 10. Optimal experimental design for dynamical processes 11. Characterization of reactions and growth in automated continuous flow and bioreactor platforms - From linear DoE to model-based approaches 12. Product development in a multicriteria context 13. Dispatching for batch chemical processes using Monte-Carlo simulations -- a practical approach to scheduling on the shop floor 14. Applications of the RTN Scheduling Model in the Chemical Industry

Über Autor(innen)

Bortz, Michael
Michael Bortz studied Physics in Dortmund and Grenoble. He received his Ph.D. in many particle physics at Dortmund University in 2003. After that, he worked as a PostDoc at universities in Wuppertal, Canberra (Australian National University), Oxford, and Kaiserslautern. In 2009 he joined the Fraunhofer Institute for Industrial Mathematics in Kaiserslautern, where he is now leading the department for optimization of technical processes. His research interests are in modeling, simulating, and optimizing processes in different application domains, including medical therapy planning, mechanical, and chemical engineering. He has realized numerous projects with cooperation partners from the chemical industry, leveraging the benefit of interactive decision support. Since 2021, he is associate professor at the Technical University Kaiserslautern.