last modified: 23/02/2006

Course code: wb4431-05
Course name: Modeling of Processes and Energy Systems
This concerns a Course
ECTS credit points: 4
Faculty of 3mE
Section of Energy Technology
Lecturer(s): Dr. P. Colonna	Tel.: 015 - 27 82172
Catalog data: Physical modeling of dynamic systems, Simulation, Laws of conservation, Lumped parameters models, Causality, Energy conversion systems, Process, Thermodynamics, Heat Transfer, Fluid Dynamics, Ordinary Differential Equations, Numerical Analysis, Modularity, Linearization, Process components, Power plant, Cogeneration, Trigeneration, Fluid Properties, Simulation Software, Model validation, Simulators.	Course year:	MSc 1^st year
	Course language:	English
		In case of Dutch: Please contact the lecturer about an English alternative, whenever needed.
	Semester:	1B / 2A
	Hours per week:	2
	Other hours:
	Assessment:	Written report
	Assessment period:	/ /
	(see academic calendar)
Prerequisites (course codes): wb1224, wb4304, wb4422, wb201-1
Follow up (course codes): Process Design and Flow Sheeting, wb4432-05, PROJECT: Process Modeling and Simulation
Detailed description of topics: A basic course in physical equations modeling of chemical and energy conversion processes. Notions of thermodynamics are merged with new concepts that are typical of system modeling in order to teach how to write and implement model equations. The course includes also a part on distributed parameters modeling that extends concepts of the CFD course wb1428 to other fields (Reactions, heat transfer...). The practical part include simple exercises on modeling of components (e.g. evaporator, reactor, ....) and their implementation in Matlab (steady state and dynamic). Program: •Introduction: The role of models in Process Systems Engineering, Examples of processes, modeling paradigms, applications, tools, method. •Process representation, definition of on design and off design steady state models, dynamic models and their applications to design, operation and control. •Conservation equations: intensive, extensive, lumped parameters and distributed parameters, steady state and dynamic, examples. •Constitutive equations: review of fluid properties, heat transfer, fluid dynamics, chemical reactions..., •Numerical methods: review of numerical solution techniques for non-linear algebraic systems and differential algebraic systems, partial differential equations systems. •Lumped parameters modeling: Modeling approaches, Modularity and Hierarchy, Model representation, connections and inter-module variables, "open loop" modeling, Well posedness and Index problem in DAE’s, Bilateral coupling and causality, Connecting rules and example of model decomposition. •Distributed parameters modeling: Development of DPS models, examples, classification of DPS models, Boundary conditions, lumped parameters modeling for representing DPSs. •Examples: to choose from: boiler, condenser, compressor, turbine, reactor, combustion chamber, fuel cell, electric generator, ...
Course material: Printouts from lecture slides
References from literature: K. Hangos, I. Cameron, Process Modelling and Model Analysis, Academic Press, 2001 MMS, Modular Modeling System v.5.1, Reference Manual, and Basica, Framatome Technologies, 1998. O.H. Bosgra, wb2311 Introduction to modeling, Lecture notes, 2002, Delft University of Technology. (Matlab) Simulink v. 6.5 , on-line help, The Mathworks inc.,2002 A.W. Ordys, A.W. Pike, M.A. Johnson, R.M. Katebi and M.J. Grimble, Modeling and Simulation of Power Generation Plants, Springer Verlag, London, 1994. P. Moin, Fundamentals of Engineering Numerical Analysis, Cambridge University Press, 2001. List of scientific articles is made available to students
Remarks assessment, entry requirements, etc.: Students' proficiency is assessed during an oral exam in which the student presents his technical report detailing the modeling and simulation project. Theoretical aspects are tested during the discussion of the submitted report.
Learning goals: The student must be able to: describe the role of models in Process and Systems Engineering, and to describe examples of processes, modeling paradigms, applications, tools, methods represent a process with process flow diagrams, and to define and use on-design and off-design steady state models, "open loop" dynamic models and their applications to design, operation and control present various forms of conservation equations: intensive, extensive, lumped parameters and distributed parameters, steady state and dynamic, and to make examples. The student is able to apply the basic principle of accounting for conserved variables and to write conservation balances that occur in typical energy and mass conversion processes list the main characteristics and choose among different models of fluid properties, heat transfer correlations, fluid dynamic correlations and chemical reactions model in order to appropriately choose the constitutive equations that close the lumped parameter modeling problem list the main characteristics and choose among various numerical techniques for the solution of non-linear algebraic systems of equations, differential algebraic systems of equations, partial differential systems of equations, which mathematical problems have to be solved when simulating a process model list the various modeling approaches and describe the concept of modularity, hierarchy, connections and inter-module variables that are necessary to correctly setup a complex model present the fundamentals of the Index of differential-algebraic systems of equations, is able to detect index>1 problems for simple cases, can describe the bilateral coupling concept and is able to apply it in order to obtain mathematically well-posed problems apply (based on the previous concepts) connecting rules to sub models and to formulate model decompositions describe the basics of distributed parameters modeling, their development and is able to describe examples, related boundary conditions and the use of lumped parameters model to represent distributed parameters models apply the method to develop a model to obtain the steady state and dynamic model of a process component, to implement it in a computer code and to simulate a transient
Computer use: The computer is used to develop dynamic models of plant components and to run simulations for the purpose of validating and analyzing the response of the system. Due to licenses availability on campus, Mathworks Matlab/Simulink is employed.
Laboratory project(s): -
Design content: Modeling and simulation of components typical of energy conversion systems or chemical plants, like boilers, evaporators, condensers, turbines, compressors, distillation columns, etc.
Percentage of design: 60%