Search result: Catalogue data in Spring Semester 2016

Chemical Engineering Bachelor Information
6. Semester
Compulsory Subjects
Examination Block Process Engineering
NumberTitleTypeECTSHoursLecturers
529-0580-00LRisk Analysis of Chemical Processes and ProductsO4 credits3GK. Hungerbühler
AbstractScientific methods for characterization of risks and environmental impacts of chemicals.
ObjectiveBasic understanding for methodology of Process Risk Analysis, Product Risk Analysis and Life Cycle Assessment.
ContentCentral to this lecture is the characterization of risks and environmental impacts of chemicals (from both production and application) by means of Process- and Product Risk Analysis as well as Life Cycle Assessment. Emphasis is put on scientific methods and their problem-oriented application in the field of chemical process and product technology.
Contents: Qualitative and quantitative methods of risk characterization by means of modeling and by comparison of (1) probability and consequences (short-term scenarios) and (2) exposure and does-effect relationship (long-term scenarios); use of molecular structure and physicochemical substance properties as descriptiors of substance-specific hazard indicators regarding mobility, persistence, toxicity, fire/explosion, etc.; derivation of conceptual design criteria for inherent safety and eco-efficiency in chemical process and product systems; sensitivity and uncertainty analysis
LiteratureBook: Hungerbühler, Ranke, Mettier
"Chemische Produkte und Prozesse - Grundkonzepte zum umweltorientierten Design"

Springer Verlag
ISBN 3-540-64854-2
Prerequisites / NoticeAccompanied by industry case study (group work)
529-0031-00LChemical Process ControlO3 credits3GR. Grass
AbstractConcept of control. Modelling of dynamic systems. State space description, linearisation. Laplace transform, system response. Closed loop control - idea of feedback. PID control. Stability, Routh-Hurwitz criterion, frequency response, Bode diagram. Feedforward compensation, cascade control. Multivariable systems. Application to reactor control.
ObjectiveChemical Process Control. Process automation, concept of control. Modelling of dynamical systems - examples. State space description, linearisation, analytical/numerical solution.
Laplace transform, system response for first and second order systems. Closed loop control - idea of feedback. PID control, Ziegler - Nichols tuning. Stability, Routh-Hurwitz criteria, root locus, frequency response, Bode diagram, Nyquist criterion. Feedforward compensation, cascade control. Multivariable systems (transfer matrix, state space representation), multi-loop control, problem of coupling, Relative Gain Array, decoupling, sensitivity to model uncertainty. Applications to distillation and reactor control.
ContentProcess automation, concept of control. Modelling of dynamical systems with examples. State space description, linearisation, analytical/numerical solution. Laplace transform, system response for first and second order systems. Closed loop control - idea of feedback. PID control, Ziegler - Nichols tuning. Stability, Routh-Hurwitz criterion, frequency response, Bode diagram. Feedforward compensation, cascade control. Multivariable systems (transfer matrix, state space representation), multi-loop control, problem of coupling, Relative Gain Array, decoupling, sensitivity to model uncertainty. Applications to distillation and reactor control.
Lecture notesLink
Literature- "Feedback Control of Dynamical Systems", 4th Edition, by G.F. Franklin, J.D. Powell and A. Emami-Naeini; Prentice Hall, 2002.
- "Process Dynamics & Control", by D.E. Seborg, T.F. Edgar and D.A. Mellichamp; Wiley 1989.
- "Process Dynamics, Modelling & Control", by B.A. Ogunnaike and W.H. Ray;
Oxford University Press 1994.
Prerequisites / NoticeAnalysis II , linear algebra.

MATLAB is used extensively for system analysis and simulation.
151-0940-00LModelling and Mathematical Methods in Process and Chemical Engineering Information O4 credits3GM. Mazzotti
AbstractStudy of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography.
ObjectiveStudy of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography.
ContentDevelopment of mathematical models in process and chemical engineering, particularly for chemical kinetics, batch distillation, and chromatography. Study of systems of ordinary differential equations (ODEs), their stability, and their qualitative analysis. Study of single first order partial differential equation (PDE) in space and time, using the method of characteristics. Application of the theory of ODEs to population dynamics, chemical kinetics (Belousov-Zhabotinsky reaction), and simple batch distillation (residue curve maps). Application of the method of characteristic to chromatography.
Lecture notesno skript
LiteratureA. Varma, M. Morbidelli, "Mathematical methods in chemical engineering," Oxford University Press (1997)
H.K. Rhee, R. Aris, N.R. Amundson, "First-order partial differential equations. Vol. 1," Dover Publications, New York (1986)
R. Aris, "Mathematical modeling: A chemical engineer’s perspective," Academic Press, San Diego (1999)
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