Simulation and Optimization in Process Engineering
The Benefit of Mathematical Methods in Applications of the Chemical Industry

Provides insights from experts in academia and industry how academic research in process engineering can be applied in industrial settings to drive profitable improvements

Michael Bortz (Edited by), Norbert Asprion (Edited by)

9780323850438, Elsevier Science

Paperback / softback, published 21 April 2022

428 pages
22.9 x 15.2 x 2.7 cm, 0.63 kg

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.

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

Subject Areas: Chemical engineering [TDCB]