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Multiscale modelling and analysis of process systems

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formed by combing partial models that describe phenomena at different ... Pellet. model. Reactor. model. research progress - granulator. Characteristic length (m) ... – PowerPoint PPT presentation

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Title: Multiscale modelling and analysis of process systems


1
Multiscale modelling and analysis of process
systems
  • First year review
  • Gordon Ingram
  • Supervisor A/Prof. Ian Cameron

2
outline
  • Background
  • Definition, Aims, Justification, Literature
  • Research plan
  • Research progress
  • Summary

3
definition
  • A multiscale model is
  • a composite mathematical model
  • formed by combing partial models that describe
    phenomena at different characteristic length
    scales

A multiscale model is a composite model
combines different length scales
4
aims
  • Formulate a theory of multiscale modelling
  • Demonstrate the theory with two case studies
  • Develop some MS CAPM software

5
justification
  • Importance of a multiscale approach
  • Design process
  • Product specifications
  • Expanding frontiers
  • Need for a strategy
  • Many applications
  • But, little analysis

6
literature review
  • General systematic modelling strategy
  • But, multiscale aspects?
  • Three key tasks

7
literature review
  • The tasks unresolved issues?
  • Choosing length scales to include
  • Developing models at each scale
  • Linking the partial models together
  • Frameworks
  • A classification scheme
  • Properties of the framework classes

8
literature review
Framework classes (Adapted from Pantelides,
2001)
9
research plan
Multiscale modelling theory
Case studies
MS CAPM tool
10
research plan theory
  • Formulation and pre-solution analysis
  • Graph-based structural techniques

Theory
Regime map
11
research plan case studies
  • Develop and compare models
  • Packed bed catalytic reactor
  • Why?
  • Drum granulator
  • Why?

12
research plan CAPM tool
  • Identify repetitive tasks
  • May include
  • Graph representation
  • Graph transformations
  • Metric evaluation
  • Links with other packages?

13
research progress
  • Desired metrics
  • Packed bed catalytic reactor
  • Graph representation
  • Graph transformations
  • Granulator
  • Length scales

14
research progress reactor
Froment and Bischoff (1990)
15
Known algebraic
Unknown algebraic
Inputs
Boundary
State
Outputs
km
uo
Co/p(z)
C(z)
Cz0
Co
a
To/p(z)
?f
T(z)
Tz0
Tw
cpf
To
U
CprRp
D
Macro
h
?b
Tp
Micro
?Hr
16
Known algebraic
Unknown algebraic
Inputs
Boundary
State
Outputs
uo
Co/p(z)
C(z)
Cz0
Co
To/p(z)
T(z)
Tz0
Tw
To
CprRp
Macro
Tp
Micro
17
Inputs
Models
Outputs
uo
Co/p(z)
Reactor model
Co
To/p(z)
Tw
CprRp
C(z)
To
Tp
T(z)
Macro
Pellet model
Micro
18
research progress - granulator
Characteristic time (s)
Characteristic length (m)
19
summary
  • Increasingly multiscale approach
  • Many models, but little guidance
  • Some emerging practices
  • Qualitative comparisons
  • Three key, interrelated tasks
  • Focus on model-linking frameworks
  • Structure ? Graph theory metrics
  • Two case studies

20
acknowledgments
  • A/Prof. Ian Cameron
  • Prof. Suresh Bhatia, Prof. Katalin Hangos, Dr Fu
    Yang Wang, A/Prof. Victor Rudolph
  • Nicoleta Balliu, Hans Wildeboer, Steve McGahey,
    Qin Li, Bogdan Balliu

21
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