PMS Syllabus (HBTU)
Only relevant for HBTU students.
This is part of the syllabi collection.Process Modeling and Simulation Syllabus
Unit I
From Husain (1986) and Grewal and Grewal (2014).
- Introduction to mathematical modeling
- Advantages and limitations of models
- Applications of process models of
- Stand-alone unit operations
- Unit processes
- Classification of models:
- Linear vs. Non linear
- Lumped parameter vs. Distributed parameter
- Static vs. Dynamic
- Continuous vs. Discrete
- Numerical Methods:
- Iterative convergence methods
- Numerical integration of ODE
- IVP
- BVP
Unit II
From Rudd and Watson (1968).
- Concepts of degree of freedom analysis:
- System and its subsystem
- System interactions
- Degree of freedom in a system e.g.
- Heat exchanger
- Equilibrium still
- Reversal of information flow
- Design variable selection algorithm
- Information flow through subsystems
- Structural effects of design variable selection
- Persistent Recycle
Unit III
Mostly from Luyben (1990).
- Simple examples of process models
- Models giving rise to nonlinear algebraic equation (NAE) systems
- Steady state models of:
- Flash vessels
- Equilibrium staged processes
- Distillation columns
- Absorbers
- Strippers
- CSTRs
- Heat exchangers
- Misc
- Review of
- Solution procedures
- Available numerical software libraries
Unit IV
Mostly from Luyben (1990).
- Steady state models giving rise to differential algebraic equation (DAE) systems
- Rate based approaches for staged processes
- Modeling of differential contactors
- Distributed parameter models of packed beds
- Packed bed reactors
- Modeling of reactive separation processes
- Review of solution strategies for:
- Differential Algebraic Equations (DAEs)
- Partial Differential Equations (PDEs)
- Review of available numerical software libraries
- Introduction to unsteady state models and their applications
Unit V
From Husain (1986) and Jana (2011).
- Simulations and their approaches:
- Modular
- Sequential
- Simultaneous
- Equation solving approach
- Modular
- Simulation softwares and their applications
- Review of:
- Solution techniques
- Available numerical software libraries
- Thermodynamic procedures
- Physical property data banks.
References
Grewal, B.S., and J.S. Grewal. 2014. Numerical Methods in Engineering & Science: With Programs in c, C++ & Matlab. Khanna. https://books.google.co.in/books?id=VfXvsgEACAAJ.
Husain, A. 1986. Chemical Process Simulation. Wiley. https://books.google.co.in/books?id=j6xTAAAAMAAJ.
Jana, A.K. 2011. Chemical Process Modelling and Computer Simulation. PHI Learning. https://books.google.co.in/books?id=46EIuf2ycdYC.
Luyben, W.L. 1990. Process Modeling, Simulation, and Control for Chemical Engineers. McGraw-Hill Chemical Engineering Series. McGraw-Hill. https://books.google.co.in/books?id=rI0vAQAAIAAJ.
Rudd, D.F., and C.C. Watson. 1968. Strategy of Process Engineering. Wiley Series in Chemical Engineering. Wiley. https://books.google.co.in/books?id=-OxTAAAAMAAJ.