University Politehnica of Bucharest - Doctor Honoris Causa

1. University Politehnica of Bucharest -Doctor HonorisCausa Professor Stratos Pistikopoulos FREng

2. Outline • A brief introduction • Chemical Engineering • Process Systems Engineering • On-going research areas & projects • Multi-parametric programming & control

3. Stratos Pistikopoulos • Diploma (Chem Eng) AUTh, 1984 • PhD (Chem Eng) CMU, 1988 • 1991 – Imperial College London; since 1999 Professor of Chemical Engineering • 2002 - 2009 Director, Centre for Process Systems Engineering (CPSE), Imperial • 2009 - 2013 Director of Research, Chem Eng, Imperial • 2009 - 2013 Member, Faculty of Engineering Research Committee, Imperial

4. Stratos Pistikopoulos • Process systems engineering • Modelling, optimization & control • Process networks, energy & sustainable systems, bioprocesses, biomedical systems • 250+ major journal publications, 8 books, 2 patents • h-index 40; ~5000 citations

5. Stratos Pistikopoulos • FREng, FIChemE • (Co-) Editor, Comp & Chem Eng • Co-Editor, Book Series (Elsevier & Wiley) • Editorial Boards – I&ECR, JOGO, CMS • Founder/Co-founder & Director – PSE Ltd, ParOS • 2007 – co-recipient Mac Robert Award, RAEng • 2008 – Advanced Investigator Award, ERC • 2009 – Bayer Lecture, CMU • 2012 – Computing in Chemical Engineering Award, CAST, AIChE • 2014 – 21st Professor Roger Sargent Lecture, Imperial

6. Chemical Engineering

7. Emerging Chemical Engineering • Relatively young[er] profession (societies founded in early part of 19th century, Manchester, UCL, Imperial - 1880s; MIT 1888) • (Most likely the) most versatile engineering profession (strong societies & academic programmes, highly-paid in manufacturing, business, banking, consulting) • Central discipline towards addressing societal grand challenges (energy & the environment/sustainability, health & the bio-(mics) ‘revolution’, Nano-engineering, Info-’revolution’, central to almost all Top 10 emerging technologies for 2012 World Economic Forum!) • Multi-scale & multi-discipline chemical engineering

8. Evolution of Chemical Engineering Recognition of length and time scales

9. Factors Energy (algae, energy-based metabolic engineering & optimisation) Length-scale Transport (Molecular Design of Nanoparticles) Product (quality, formulation, quantity) Control (model-based Information pathways) Time-scale Evolution of Chemical Engineering Only Chemical Engineering integrates TIME, LENGTH, FACTORS (input/output)

10. Chemical Engineering - research • Research.. – strong core chemical engineering, new opportunities in nano-driven chemical engineering, biochemical and biomedical-driven chemical engineering, energy/sustainability-driven chemical engineering, info-driven chemical engineering • Interactions/interfaces with chemistry, materials, medicine, biology, computing/applied math & beyond – molecular level, nano-materials, nano/micro-reaction, ‘micro-human’, carbon dioxide conversion, bio-energy, resource efficiency & novel manufacturing, from ‘mind to factory’, systems of systems, ...

11. Chemical Engineering – a model Core Multi-scale Understanding & Modelling

12. Simulation/ Optimization Design/ Products & Processes Experiments/ Validation Measurements/ Visualization/ Analytics Properties/ Transport/ Reaction/ Separation Chemical Engineering – a model Core Multi-scale Understanding & Modelling

13. Simulation/ Optimization Design/ Products & Processes Experiments/ Validation Measurements/ Visualization/ Analytics Properties/ Transport/ Reaction/ Separation Chemical Engineering – a model Molecular & Materials/Product Chemical Engineering Bio & Medical driven Chemical Engineering Core Multi-scale Understanding & Modelling Energy/ Sustainability Chemical Engineering Nano-Chemical Engineering

14. Materials Systems Reaction & Catalysis Analytical Sciences Transport & Separation Chemical Engineering – a model Bio & Med driven Chemical Engineering Molecular/Materials Chemical Engineering Core Multi-scale Understanding & Modelling Nano- & Multi-scale Chemical Engineering Energy/ Sustainability Chemical Engineering

15. Outline • A brief introduction • Chemical Engineering • Process Systems Engineering • On-going research areas & projects • Multi-parametric programming & control

16. Process Systems Engineering

17. Process Systems Engineering • Scientific discipline which focuses on the ‘study & development of theoretical approaches, computational techniques and computer-aided tools for modelling, analysis, design, optimization and control of complex engineering & natural systems – with the aim to systematically generate and develop products and processes across a wide range of systems involving chemical and physical change; from molecular and genetic information and phenomena, to manufacturing processes, to energy systems and their enterprise-wide supply chain networks’

18. PSE – brief historical overview • Relatively ‘new’ area in chemical engineering – started in the sixties/early seventies [Roger Sargent, Dale Rudd, Richard Hughes, and others & their academic trees] • Chemical Engineering – around 1890+ [MIT, UCL, Imperial] • AIChE - 1908; IChemE - 1922

19. PSE – brief historical overview • Relatively ‘new’ area in chemical engineering – started in the sixties/early seventies [Roger Sargent, Dale Rudd, Richard Hughes, and others & their academic trees] • Key historical dates – 1961 the term introduced [special volume of AIChE Symposium Series]; 1964 first paper on SPEEDUP [simulation programme for the economic evaluation and design of unsteady-state processes]; 1968 first textbook ‘Strategy of Process Engineering’ by Rudd & Watson (Wiley); 1970 CACHE Corporation; 1977 CAST division of AIChE; 1977 Computers & Chemical Engineering Journal

20. PSE – brief historical overview • 1980s – FOCAPD 1980; PSE 1982; CPC, FOCAPO • Early 90s – ESCAPE series • Significant growth • Centres of excellence & critical mass – CMU, Purdue, UMIST, Imperial, DTU, MIT, others around the world (US, Europe, Asia – Japan, Singapore, Korea, China, Malaysia)

21. PSE – Current Status • Well recognized field within chemical engineering • PSE academics in many [most?] chemical engineering departments • Undergraduate level – standard courses [& textbooks] on process analysis, process design, process control, optimization, etc • Research level – major activity & strong research programmes [US & Canada, Europe, Asia, Latin America, Australia]

22. PSE – Current Status • Well established global international events & conferences • Highly respected journals, books & publications • Strong relevance to & acceptance by industry- across wide range of sectors [from oil & gas to chemicals, fine chemicals & consumer goods, ..] • PSE software tools – essential in industry & beyond [simulation, MPC, optimization, heat integration, etc – PSE linked companies]

23. PSE – impact • Training & education • Significant research advances • process design • process control • process operations • numerical methods & optimization • [software & other] tools • Beyond chemical engineering .. [?]

24. ‘Traditional’ PSE • PSE Core • Mathematical Modelling • Process Synthesis • Product & Process Design • Process Operations • Process Control • Numerical Methods & Optimization

25. PSE evolution .. • PSE Core • Recognition of length 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)

26. PSE evolution .. • PSE Core • Recognition of length 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) Multi-scale Modelling

27. Product Value Chain (Marquardt; Grossmann et al) Recognition of length and time scales

28. PSE evolution ... Multi-scale Modelling

29. simulation optimization Multiscale Modelling synthesis control Product/process design PSE evolution ...

30. PSE evolution • Recognition of length 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) • Core, generic enabling technology provider to other domains • molecular  genomic  biological  materials  energy  automation  plants  oilfields  global supply chains Multi-scale process systems engineering

31. Molecular Systems Engineering Biological & Biomedical Systems Engineering simulation optimization Multi-scale Modelling synthesis control Product/process design Supply Chain Systems Engineering Energy/Sustainability Systems Engineering Multi-scale Process Systems Engineering

32. Multi-scale PSE • PSE Core • Domain-driven PSE • Problem-centric PSE

33. PSE Core • Multi-scale Modelling • Multi-scale Optimization • Product & Process Design • Process Operations • Control & Automation

34. Domain-driven PSE • Molecular Systems Engineering • Materials Systems Engineering • Biological Systems Engineering • Energy Systems Engineering

35. Problem-centric PSE • Environmental systems engineering • Safety systems engineering • Manufacturing supply chains

36. Molecular Systems Engineering Biological & Biomedical Systems Engineering simulation optimization Multi-scale Modelling synthesis control design Supply Chain Systems Engineering Energy/Sustainability Systems Engineering Multi-scale Process Systems Engineering

37. Molecular Systems Engineering Biological & Biomedical Systems Engineering simulation optimization Multi-scale Modelling synthesis control design Supply Chain Systems Engineering Energy/Sustainability Systems Engineering Multi-scale Process Systems Engineering leads to ..

38. Model-based automation Operationaloptimization Process flowsheeting Process development A OPERATION CONCEPT DESIGN Detailed design of complex equipment Optimization of plant and operating procedures TC PlantTroubleshooting/Safety Model Based Innovation across the Process Lifecycle

39. Molecular Driven Chemical Engineering Bio-driven Chemical Engineering Materials Properties Process Systems Engineering Transport Phenomena Analytics/ Experimental Reaction engineering Multi-scale Chemical Engineering Energy -driven Chemical Engineering Process Systems Engineering.. provides the ‘scientific glue’ within chemical engineering (Perkins, 2008)

40. Nano - materials Health simulation optimization Systems Engineering synthesis control design Sustainable Manufacturing Energy Process Systems Engineering‘systems thinking & practice’ – essential to address societal grand challenges

41. Outline • A brief introduction • Chemical Engineering • Process Systems Engineering • On-going research areas & projects • Multi-parametric programming & control

42. Research Group - research areas & current projects

43. Acknowledgements • Funding • EPSRC -GR/T02560/01, EP/E047017, EP/E054285/1 • EU -MOBILE, OPTICO, PRISM, PROMATCH, DIAMANTE, HY2SEPS, IRSES • CPSEIndustrial Consortium, KAUST • Air Products • People • J. Acevedo, V. Dua, V. Sakizlis, P. Dua, N. Bozinis, P. Liu, N. Faisca, K. Kouramas, C. Panos, L. Dominguez, A. Voelker, H. Khajuria, M. Wittmann-Hohlbein, H. Chang • P. Rivotti, A. Krieger, R. Lambert, E. Pefani, M. Zavitsanou, E. Velliou, G. Kopanos, A. Manthanwar, I. Nascu, M. Papathanasiou, N. Diangelakis, M. Sun, R. Oberdieck • John Perkins, Manfred Morari, Frank Doyle, Berc Rustem, Michael Georgiadis • Imperial & ParOSR&D Teams, Tsinghua BP Energy Centre

44. Current Research Focus Overview Multi-parametric programming & Model Predictive Control [MPC] Energy & Sustainability (driven) Systems Engineering Biomedical Systems Engineering

45. Energy and Sustainability (driven) Systems • Operations and control • Scheduling under uncertainty of micro-CHP systems for residential applications • Supply chain optimization of energy systems • Integration of design and control for energy systems – fuel cells, CHPs • Integration of scheduling and control of energy systems under uncertainty Synthesis and Design • Design of micro-CHP systems for residential applications • Design of poly-generation systems • Long-term design and planning of general energy systems under uncertainty

46. Biomedical Systems Engineering Leukaemia – Development of optimal protocols for chemotherapy drug delivery for: • Acute Myeloid Leukaemia (AML) • Chronic Lymphocytic Leukaemia (CLL) • Experimental, modelling and optimization activity Anaesthesia & Diabetes • Emphasis on modelling and control in volatile anaesthesia • the artificial pancreas Collaboration with Prof. Mantalarisand Dr. Panoskaltsis Collaboration with Prof Frank Doyle, UC Santa-Barbara

47. Multi-Parametric Programming & Explicit MPCa progress report Professor Stratos Pistikopoulos FREng

48. Outline • Key concepts & historical overview • Recent developments in multi-parametric programming and mp-MPC • MPC-on-a-chip applications

49. What is On-line Optimization? MODEL/OPTIMIZER Control Actions Data - Measurements SYSTEM

50. What is Multi-parametric Programming? • Given: • a performance criterion to minimize/maximize • a vector of constraints • a vector of parameters