Simulation and optimization in process engineering : the benefit of mathematical methods in applications of the chemical industry – Ebook PDF Instant Delivery – ISBN(s): 9780323850438,9780323850445,032385043X,0323850448

Product details:

• ISBN-10 ‏ : ‎ 032385043X
• ISBN-13 ‏ : ‎ 978-0323850438
• Author: Michael Bortz, Norbert Asprion

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.

Table contents:

Chapter 1 – Prediction and correlation of physical properties including transport and interfacial properties with the PC-SAFT equation of state

Chapter 2 – Don’t search—Solve! Process optimization modeling with IDAES

Chapter 3 – Thinking multicriteria—A jackknife when it comes to optimization

Chapter 4 – Integrated modeling and energetic optimization of the steelmaking process in electric arc furnaces: An industrial application

Chapter 5 – Solvent recovery by batch distillation—Application of multivariate sensitivity studies to high dimensional multiobjective optimization problems

Chapter 6 – Modeling and optimizing dynamic networks: Applications in process engineering and energy supply

Chapter 7 – The use of digital twins to overcome low-redundancy problems in process data reconciliation

Chapter 8 – Real-time optimization of batch processes via optimizing feedback control

Chapter 9 – On economic operation of switchable chlor-alkali electrolysis for demand-side management

Chapter 10 – Optimal experiment design for dynamic processes

Chapter 11 – Characterization of reactions and growth in automated continuous flow and bioreactor platforms—From linear DoE to model-based approaches

Chapter 12 – Product development in a multicriteria context

Chapter 13 – Dispatching for batch chemical processes using Monte-Carlo simulations—A practical approach to scheduling in operations

Chapter 14 – Applications of the RTN scheduling model in the chemical industry

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