1. The Centre for Process Systems Engineering
Prof David Bogle
Director

2. Who we are Multi-institutional research centre
Imperial - Chemical Engineering, Computing, Earth Science & Engineering, Electrical Engineering
UCL - Chemical Engineering, Electrical Engineering
World-class departments at Imperial & UCL
Multi-disciplinary academic staff from a wide range of disciplines with international reputation
Excellence in research - 5* Chem. Eng. (ICL and UCL) & Computing in the UK Govt. Research Assessment (RAE)

3. Objectives
To advance knowledge in the area of Process Systems Engineering
To promote and facilitate the widespread adoption of systems engineering methodologies
To influence National, EU and International policy and standards
To educate graduate students to the highest international level
To offer world class knowledge transfer services to industry
To undertake complete lifecycle of research and development: from proof of concept to commercialisation
To address and support short, medium and long term industrial research needs on an industry-wide and company-specific manner

4. What we do – Managing Complexity
We perform research and develop integrated models, methodologies and tools to enable scientist, engineers and managers understand, capture, operate and manage complex, multi-scaled natural, engineering and industrial systems through
Requirements and functional analysis
Modelling and design
Control
Simulation
Optimisation
Experiment Design
Visualisation

5. What we do
Traditionally we have focused on the industrial Process sector
Oil and gas
Petrochemicals
Pharmaceuticals
Fine chemicals
Environmental Engineering
Polymers
Food and beverage
Consumer goods

6. Where are the Process Industries going?
The Middle and Far East…
Bulk and Specialty Chemicals
New feedstocks, zero emissions, non-conventional energy sources, new catalysis, better chemistry, size
Vision – Step change in process/plant efficiency with respect to space, time, energy, raw materials, safety and the environment
Functional Materials
Industrial (White) Biotechnology
Sustainable manufacturing and supply chains
Energy and Water

7. Multi scale systems modelling and engineering
Recognition of length and time scales

8. CPSE Research across multiple size and time scales
From nano-scale (molecular)
to micro-scale (particles, crystals)
to meso-scale (materials, equipment, products)
to mega-scale (supply chain networks, environment)
Integrated modelling, design and optimisation where possible

9. Core competencies - Managing Complexity
Modelling and simulation
Optimisation
Optimal design and operation
Optimisation under uncertainty
Risk management
Control

10. Generic Research Programme
Product and process design
Process operations and supply chain management
Control and measurement
Modelling and numerical methods

11. Generic research programme
Biological Systems
Engineering
Energy Systems
Engineering
Product and Process
Engineering
Systems Engineering
Molecular
Generic research programme
Managing complexity

12. CPSE Academic Staff ICL Chem Eng Claire Adjiman
Amparo Galindo (molecular)
Charles Immanuel
George Jackson (molecular)
Sakis Mantalaris (biological)
Costas Pantelides
Stratos Pistikopoulos
Roger Sargent (Emeritus)
Nilay Shah
ICL Computing
Berc Rustem
ICL Earth Science and Engng
Nigel Brandon (energy)
UCL Chem Eng
David Bogle
Vivek Dua
Eric Fraga
Lazaros Papageorgiou
Eva Sorensen
UCL Elec Eng
Nina Thornhill
ICL Elec Eng
John Allwright
Imad Jaimoukha
Richard Vinter
Industrial Visiting Professor
Roger Benson

13. CPSE Management team Prof David Bogle, Director
Prof Nilay Shah, Financial Director
Prof Berc Rustem, Associate Director
Prof Paul Rutter, External Relations Consultant
Dr Harris Makatsoris, Industrial Research Development Officer

14. Facts and Figures - CPSE
Multi-discipline, multi-university, engineering faculty-wide research centre
22 academic staff
83 full time research staff and PhD students – over 70 research projects
On average over £6m per annum of research income (since 1990) by industry and government
Strong industrial support (CPSE Industrial Consortium)
Strong international brand-name recognition (keynote lectures)
Queens Award for Higher and Further Education 2002
International Centre for Process Systems Engineering (iCPSE)

15. Joint research partnership with Georgia Tech CPSE - iCPSE
Inaugurated March 2005
An international hub for Process Systems Engineering
Global industry-academic alliance
Expanded industrial consortium and links with industry
Unparalleled pool of expertise

16. GT CPSE Faculty Process Product Matthew Realff (ChBE)
molecular
meso
process
plant site
enterprise
Matthew Realff (ChBE)
Shabbir Ahmed (ISyE)
Jay Lee (ChBE)
Gary May (ECE)
Pete Ludovice (ChBE)
Cliff Henderson (ChBE)
Martha Gallivan (ChBE)
Ron Rousseau (ChBE)
Thanos Nenes (ChBE)
Joseph Schork (ChBE)

17. GT’s Competencies Materials Microelectronics Engineering
Traditional PSE
Supply Chain / Logistics
Process Design
Process Optimization
Process Control
Fuel Cells,
Batteries
Biological
Engineering

18. Mathematical Modeling of Mini-emulsion Polymerization
Charles Immanuel, ICL
Population Balance modeling
Reactor/particle level
Martha Gallivan, GT
Kinetic Monte Carlo modeling
Intraparticle level
Mass action kinetics does not hold
F. Joseph Schork, GT
Experimental
Model Validation
Mechanistic Studies
Coordination

19. Mathematical Modeling of Mini-emulsion Polymerization
Progress To Date
Monte Carlo Modeling
Basic Particle Model Constructed
Adding Diffusion
Population Balance Model
Emulsion Polymerization Model Exists
Droplet Ripening Model Being Developed
Cannot find a source of joint funding.
Will submit separate proposals referencing the other teams contributions.
Some results already.
This will be a comprehensive model, not a control model of a model to look at one mechanism or phenomenon.

20. Supply Chain Collaborative Research
Nilay Shah
Lazaros Papageorgiou
Stratos Pistikopoulos
Shabbir Ahmed
Jay Lee
Matthew Realff

21. Supply Chain Research Themes
Uncertainty
What are effective representations and solution procedures to help the management of large scale supply chains under significant uncertainty?
Multi-Scale, Multi-Agent System
Distributed agents with local objective / constraint and detailed local knowledge
Global goals, information, and interactions, coarser-scale knowledge
Performance Measures
How do we devise metrics of profit, customer service and environmental impact?
Time Criticality
How do we deal with response times may be required to be very rapid compared to the supply chain dynamics?

22. Current projects underway
Network design/strategy
Capacity and product portfolio planning under uncertainty
Global network retrofit for a pharmaceutical company
Network design with transfer price optimisation
Optimal resource planning and contract appraisal for a subcontractor
Design of a next-generation hydrogen supply chain
Complexity in supply chains
Optimal supply chain planning/policies
Paints supply chain optimisation
Business process optimisation to improve a flavours supply chain
Multi-scale planning and scheduling for pharmaceuticals
Oil products supply chain optimisation
Vaccines supply chain optimisation
Analysis and optimisation of VMI systems
SCP in petrochemical complexes
Supply chain operations/control
Hybrid MILP/CLP techniques for scheduling
SCM for fast moving, short-lifecycle products
Parametric control for supply chain operations

23. Managing Risk in Process Design
Technological development is a source of uncertainty and risk
Detailed models needed to assess new technologies
account for complex phenomena, e.g. non-uniform mixing
account for complex interactions
Need for effective quantitative risk management methodologies
Objectives:
Based on a detailed model which captures the sources of risk arising from a new technology, …
… quantify the inherent risk of the technology for a given design
… minimise the inherent risk through design

24. Managing Risk in Process Design
Proposed methodology
Construction & formal validation of detailed process model
Global sensitivity analysis (GSA)
Examine effect of uncertainty on process performance
…taking account of process controls
Nominal design & operating point
Uncertainty in model parameters
Deterministic optimisation
Nominal values of model parameters
Scenario-based optimisation
Large numbers of scenarios designed to sample effectively the space of uncertainty
…applied to large, highly nonlinear models
Critical uncertain parameters

25. Managing Risk in Process Design
Results and future programme
Developed global multi-parameter sensitivity analysis:
Improved analysis to account for
performance constraints
ability of process to adapt to uncertainty via control
Developed efficient scenario-based optimisation technique:
Improved scenario generation based on sensitivity analysis results
Demonstrated ability to quantify risk in existing design and to generate improved designs based on a distributed reactor model.
Future joint programme:
Consider both technical and financial risk – operations and investment
Stochastic methodologies, interval methods, min-max optimization
Multi-scale – molecular to supply chain

26. Major initiatives planned
Molecular Systems Engineering programme
Develop computational platform to tackle process and product design problems using molecular level information
£3m EPSRC project over 4 yrs
Strong industrial support (in-kind, secondments, additional funding)
Urban Energy Systems (through IC-EFL)
5 PIs involved
Integrated Clean production of Fossil Fuels
‘Game-changing’ approach to production of fossil fuels and related products. Employ integrated systems approach to design, optimise and control new processes.
In collaboration with IC-EFL - Proposal stage currently targeting Shell
£5m over 5 yrs
Exploring industrial collaborations for biomass/biofuels production
Managing Risk

27. Knowledge & Technology Transfer
‘From day one, CPSE was set up to ensure
that science and technology could be
transferred to industry’
Professor Roger Sargent
(CPSE’s Founder and 1st Director)

28. Knowledge & Technology Transfer
Industrial Research Consortium
Graduates, Secondments
Partnerships
Dissemination
Fundamental
Research
Applied
Research
Development Evaluation
Demonstration
Licensing
Spin-off Companies
Case Studies
Collaborative Projects
Industrial Projects
PSE Ltd
Britest Ltd
PAROS Ltd
3+ yrs
3 yrs
3 – 12 months

29. CPSE Industrial Research Consortium

30. Summary Wide role for systems thinking – contribution of iCPSE
Critical mass, interdisciplinary skills and expertise
R&D pipeline: industry can leverage
Major producer of trained researchers
Strong links with industry
Track record of scientific achievement, effective collaboration and technology transfer

31. Need more information? Please log on to www.cpse.imperial.ac.uk Or
Contact
Dr Harris Makatsoris
Industrial Research Development Officer
Imperial College London
Roderic Hill Building
South Kensington campus
London SW7 2AZ
tel +44 (0)
fax +44 (0)

32. CPSE: Brand-name recognition
The Queen’s Annivarsary Prize 2002
“for Higher and Further Education”

33. Supply chain problems Examples
dimension
“Time”
“Space” dimension
Strategic
Planning
Operational
Suppliers
10 mfg
20 mfg
Storage
locations
Customers 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Examples
Redesign logistics network
Campaign planning at a primary manufacturing site
Real-time supply chain management and control; Collaborative Manufacturing & Scheduling
Negotiation of long term supply contracts
Improved design of primary manufacturing processes and plants
Long-term manufacturing capacity planning and value-chain management