EURECHA session 1999 Presentation given in Budapest, 31 May 1999 at ESCAPE 9 Symposium CAPE Elements in Process Design & Engineering Education of Delft University of Technology by Johan Grievink • aims and structure of education •‘environment’ of a process design engineer • CAPE elements • required development Acknowledgements: C. Hellinga, P. Herder, M. Ottens, M. Thijs Structure of Chemical Technology Education research job in industry better job in industry job in industry Ir. degree (MSc) process design course equipment design Master’s degree in Adv. Design & Engin. individual design project group design project advanced courses research project PhD degree 9 research Intro. Systems engineering 8 7 advanced courses 6 5 4 design project process simulation lab. year dynamics and control 3 2 1 Engineering for Process Design & Control of Operations Management of Technology Management of Operations (f) (e) management levels Production Control • logistics of feedstocks & products • production planning & sceduling (d) Process Control & Optimisation • model-based control & optimisation • start-up/shut-down/switching procedures (c) Process & Unit Equipment (with safeguarding & basic control) (b) process systems Integrated Design Environments (process, equipment, optimising control) design environment (a) The ‘Environment’ of a Process Designer interface with business and society • scope and design basis (battery limits & conditions) • criteria for evaluation (economics, safety, environmental design methods and tools • synthesis of structure • analysis of behaviour • optimisation of performance creative thinking working procedures • design & engin. conventions • communication & reporting • team work Available domain knowledge • sciences {(bio)chemical, physical, biological, ...} • engineering {equipment, control, safety, …} Generic steps of design cycle scope and specifications of design available knowledge about building blocks experimental efforts in process development synthesis of structure analysis of physical behaviour evaluation and optimisation of performance report on design results, choices and rationales Knowledge development and application in process life phases Development Design Operation Experiments Theory Computing Structure Behaviour Performance Monitoring Control Optimisation Learning Models of Phenomena Process Models (System Design) Plant Models (Validated) Systeemtechniek (yr 2 / 3 cp) = Modelling + System analysis dA dt R + Linear systems (55 h) • System order • Stability • Phase plane behaviour (eigenvalues/vectors) • Model simplification (eigenvalues) Simulation Analytical solutions (time & Laplace domain) dB dt Block diagram Mechanistic dynamic model (non-gradient) Non-linear systems (25 h) • Linearization • Mutiple working points • Local stability • Informal methods for approximate solutions (characteristic times) Numerical solutions Training with MATLAB/ SIMULINK (40h) Process Simulation Laboratory • Introduction: – 3rd year, 5 day course, tool: ChemCAD or AspenPlus • Objectives: – – – – get insight in different chemical processes get knowledge of flowsheeters get appreciation of opportunities/ limitations handle problems in modelling processes • Approach: – 2 days introduction to basics • thermo, separations (VLE/ LLE), convergence. – 3 days process simulation (groups of 2) – report:assumptions, design specs,costs • Results: – – – – most students reach goals on time students are positive (experience in integration) 5 days is short, 8 would be better more time needed for convergence problems Biotechnological Sciences Delft Leiden T.B. Jensen, M. Ottens, L.A.M. van der Wielen, Kluyver Institute for Biotechnology CAPE tools in Bioprocess Technology Education • Increasing role in: • undergraduate education and postgraduate design courses • Emphasis on ‘bio’1 and batch2 • 1: need: thermodynamic framework aqueous electrolytes with proteins • 2: event tracking: ‘Ghant Chart’ • Software SuperPro Designer® • choice between batch and continuous; recycles; economic evaluation • easy connecting unit operations (uo); specific bio uo’s; shortcut models Piquar Plant design Improvement by QUAlity Review Owner Designer Piquar Existing toolbox identify the relevant quality criteria for the design in discussion with the project owner assess and evaluate the criteria during the design process determine when the design process can be stopped Evaluation by students design team Safety for people and surroundings 13% Operability 4% Quality 43% Team spirit during design 2% Time Production cost 9% Environmental constraints 5% Availability 5% Satisfaction of designers 5% Use of know ledge and experience 3% Return on Investment 11% Overview of use of CAPE tools design step MSc MD&E scope of design & identification of specifications (PIQUAR) (PIQUAR) knowledge assessment & modelling simulink, MATLAB thermod. ASPEN -(PIP?) ADVENT (PROSYN?) ChemCAD SuperPro. ASPEN g-PROMS spreadsheet optimisation ASPEN synthesis of structure (unit type, size, connections) analysis of behaviour (simulation: steady, dynamics) evaluation of performance (optimisation: economics) Required Developments • integration of steady state and dynamic simulations • batch process synthesis and simulation • multi-media support to process simulations • controllability aspects • support tools for identifying design specifications and for process synthesis For further information: Contact: Johan Grievink email: j.grievink@stm.tudelft.nl Delft University of Technology, Department of Chemical Technology P.O.Box 5045, 2600 GA Delft, the Netherlands