Hybrid Modeling in Process Industries: 1st Edition (Hardback) book cover

Hybrid Modeling in Process Industries

1st Edition

Edited by Jarka Glassey, Moritz von Stosch

CRC Press

219 pages | 95 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781498740869
pub: 2018-02-14
SAVE ~$37.00
$185.00
$148.00
x
eBook (VitalSource) : 9781351184373
pub: 2018-02-01
from $111.00


FREE Standard Shipping!

Description

This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling.

It reviews hybrid modeling approach applicability in wide range of process industries, recommends how to increase hybrid model performance and throw Insights into cost efficient practices in modeling techniques

Discusses advance process operation maximizing the benefits of available process knowledge and Includes real-life and practical case studies

Table of Contents

Chapter 1: Benefits and challenges of hybrid modelling in the process industries: An introduction

Moritz von Stosch, Jarka Glassey

1.1 An intuitive introduction to hybrid modelling

1.2 Key-properties and challenges of hybrid modelling

1.3 Benefits and challenges of hybrid modelling in the process industries

1.4 Hybrid modelling, the idea and its history

1.5 Setting the stage

Chapter 2: Hybrid Model Structures for Knowledge Integration

Moritz von Stosch, Rui M.C. Portela, Rui Oliveira

2.1. Introduction

2.2. Hybrid semi-parametric model structures

2.3. Examples

2.4. Concluding remarks

Chapter 3: Hybrid models and Experimental Design

Moritz von Stosch

3.1. Introduction

3.2. Design of Experiments (DoE)

3.3. The Validity/Applicability Domain of hybrid models

3.4. Hybrid model based (Optimal) Experimental Design

3.5. Conclusions

Chapter 4: Hybrid model identification and discrimination with practical examples from the chemical industry

Schuppert and Th. Mrziglod

4.1 Introduction

4.2 Why data based modelling?

4.3 Principles of data based modelling

4.4 Structured hybrid modelling – introduction

4.5. Practical realisation of Hybrid Models

4.6 Applications

4.7. Summary

Chapter 5: Hybrid modeling of biochemical processes

Vytautas Galvanauskas and Rimvydas Simutis, Andreas Lübbert

5.1 Introduction

5.2 Hybrid modeling for process optimization

5.3 Hybrid modeling for state estimation

5.4 Hybrid modeling for control

5.5 Hybrid modeling for fault analysis

5.6 Concluding remarks

Chapter 6: Hybrid modelling of petrochemical processes

Vladimir Mahalec

6.1 Introduction

6.2 Computation of mass and energy balances

6.3 Hybrid Models of petrochemical reactors

6.4 Hybrid Models of Simple Distillation Towers

6.5 Hybrid Models of Complex Distillation Towers

6.6 Summary

 

Chapter 7: Implementation of hybrid neural models to predict the behaviour of food transformation and food waste valorisation processes

Stefano Curcio

7.1 Introduction

7.2 Case study 1 – Convective drying of vegetables

7.3. Case study 2 – Enzymatic transesterification of waste olive oil glycerides for biodiesel production

7.4 Conclusions

Chapter 8: Hybrid modelling of pharmaceutical processes and PAT

Jarka Glassey

8.1 Quality by Design and Process Analytical Technologies

8.2 Case study

8.3 Conclusions

About the Editors

Dr. Jarka Glassey currently works as a Professor of Chemical engineering education in the School of Engineering, Newcastle University, United Kingdom. She gained her academic qualifications in chemical engineering at the STU Bratislava, Slovakia, and PhD in biochemical process modeling at Newcastle University, United Kingdom. She is a Chartered Engineer, Fellow of the Institution of Chemical Engineers (IChemE), Rugby, UK, and currently serves on the IChemE Council. She is the Executive Vice President of the European Society of Biochemical Engineering Sciences (ESBES), and she is also the vice chair (immediate past chair) of the Modelling, Monitoring, Measurement & Control (M3C) Section of ESBES. Her research interests are particularly in the areas of bioprocess modeling, monitoring, whole process development, and optimization. She has published extensively in this area and over the years collaborated with a wide range of industrial partners in real-life bioprocess development and modeling applications. Currently she is coordinating a large European academic and industrial consortium carrying out research and training early career researchers in the use of the QbD, PAT and hybrid modeling approaches within biopharma industry in order to speed up the process development and reduce the lead times from discovery to full scale manufacture.

Dr. Moritz von Stosch joined the Technical Research and Development Department of GSK Vaccines in the beginning of 2017. Until then, he had worked as a Lecturer in Chemical Engineering at the School of Chemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, UK, and he also was the team leader of HybPAT, a spin-off initiative with the aim of providing hybrid modeling solutions for an efficient implementation of PAT. In 2011 he earned his PhD at the Faculty of Engineering of the University of Porto, Porto, Portugal. He was awarded his diploma in engineering from the RWTH-Aachen University in Germany. Moritz von Stosch is a leading expert on hybrid modeling methods and their application to bioprocess problems. He is, for example, the author of more than ten publications on hybrid modeling and coauthor of several others. In the past years, he co-organized an expert meeting on "Hybrid Modeling for QbD and PAT in Biopharma," which was integrated into the ESBES M3C panel series, and he also co-organized all three bi-annually hold hybrid modeling summer schools. In addition, he gave a number of invited talks on "Hybrid modeling for QbD and PAT" across Europe and the United States.

Subject Categories

BISAC Subject Codes/Headings:
SCI013060
SCIENCE / Chemistry / Industrial & Technical