Glassey / von Stosch Hybrid Modeling in Process Industries

1. Auflage 2018
ISBN: 978-1-351-18435-9
Verlag: Taylor & Francis
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 231 Seiten

This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling. The fundamental part covers questions on “How to develop a hybrid model?”, “How to represent and identify unknown parts?”, “How to enhance the model quality by design of experiments?” and “How to compare different hybrid models?” together with tips and good practices for the efficient development of high quality hybrid models. The application part covers the utilization of hybrid modeling for typical process operation and design applications in industries such as chemical, petrochemical, biochemical, food and pharmaceutical process engineering.

Autoren/Hrsg.

Glassey, Jarka

von Stosch, Moritz

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen

Inhaltsverzeichnis

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

Über Autor(innen)

Jarka Glassey currently works as a Reader at the School of Chemical Engineering and Advanced Materials, Newcastle University, UK. She gained her academic qualifications in chemical engineering at the STU Bratislava, Slovakia and PhD in biochemical process modelling at Newcastle University, UK. She is a Chartered Engineer, Fellow of the Institution of Chemical Engineers (IChemE) and currently serves on the IChemE Council. She is the Executive Vice President of the European Society of Biochemical Engineering Sciences (ESBES) and she also currently chairs the Modelling, Monitoring, Measurement & Control (M3C) Section of ESBES. Her research interests are particularly in the area of bioprocess modelling, monitoring, whole process development and optimization. She published extensively in this area and over the years collaborated with a wide range of industrial partners in real-life bioprocess development and modelling applications.

Moritz von Stosch works as a postdoc-researcher at the Systems Biology and Engineering group, University Nova de Lisboa and he also is the team-leader of HybPAT, a spin-off initiative with the aim to provide 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. He was awarded his Diploma in Engineering from the RWTH-Aachen University in Germany. Moritz von Stosch is a leading expert on hybrid modelling methods and their application to bioprocess problems. He is, for instance, 1st author of six publications on hybrid modeling and co-author of several others. In the last year, 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 the 1st Hybrid modeling summer school. Just recently, upon invitation he gave a talk on "Hybrid modeling for QbD and PAT in bioprocess optimization" at the ISPE Nordic Biotechnology conference at Copenhagen, Denmark.

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