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Dynamic Process Modeling, Volume 7

Dynamic Process Modeling, Volume 7

Michael C. Georgiadis (Volume Editor), Julio R. Banga (Volume Editor), Efstratios N. Pistikopoulos (Volume Editor), Vivek Dua (Series Editor)

ISBN: 978-3-527-63134-6

Oct 2013

628 pages



Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge.
The ultimate reference work for years to come.
Prodess Modelling -
Putting Corporate Knowledge to Work
Modelling of Polymerisation Processes
Modelling of PEM Fuel Cells
A Generic Modelling Framework of Pressure Swing Adsorption Processes
Modelling of Biological Systems
A Framework for the Modelling of Reactive Separations
Modelling of Crystallization Processes
Modelling Multi Stage Flash Desalination Process -
Current Status and Future Development
Dynamic Modelling of Complex Reactive Separation Processes
Dynamic Modelling of Disease Progression with Emphasis on Multi-Scale Modelling of Systemic Inflammation in Humans
Dynamic Modelling and Simulation for Robust Control of Distributed Bioprocess Systems
Dynamic Model Building Using Optimal Identification Strategies, with Applications in Bioprocess Engineering
Multiscale Modelling of Transport Phenomena in Biological Systems
Synthetic Biology: Dynamic Modelling and Construction of Cell Systems
A Process Systems Engineering Approach to the Development of an Artificial Pancreas for Subjects with Type-1 Diabetes Mellitus
Dynamic Multiscale Modelling -
An Application to Granulation Processes