Chemical Process Simulation
The objective of this course is to provide the background needed by the chemical engineers to carry out computer-aided analyses of large-scale
chemical processes. Major concern will fall on steady-state processes with hands on experiences on
CAD and the Structure of Design Process ANALYSIS Material &Energy balances Equip. Sizing and Costing Economic Evaluation Final flowsheet Societal needs Initial Flowsheet Parameter optimization Structure Optimization Flowsheet Synthesis Flowsheet Synthesis 1) Rxn path selection 2) Material balancing and species allocation 3) Separation task selection and sequencing
4) Auxiliary task assignment and process integration 5)Evolutionary improvement of initial flowsheet
Chemical Process Synthesis
CAD CAD Design Variables Initial Values
What is process simulation for?
1. To interpret process flowsheets, 2. To locate malfunctions, and
3. To predict the performance of process.
Commercial Process Simulators
• Aspen Engineering Suite of Aspen tech., Inc.
– http://www.aspentech.com
• CHEMCAD 5.xx of Chemstations
– http://www.chemstations.net
• Process Engineering Suite of Simulation Sciences, Inc.
– http://www.simsci.com
• SUPERPRO DESIGNER 4.x of Intelligen, Inc.
Flowsheeting
the use of computer aids to
perform steady-state heat and
mass balances, sizing, costing
calculation for a chemical
To perform process simulation using
a process simulator
• Convert from a process flowsheet
to a simulation flowsheet, i.e., replace the process units with appropriate simulation unit.
• Model and solve the process unit equations – a subroutine is written for each process unit.
What are process flowsheets?
• Process flowsheets are the language of chemical processes. They
describe an existing process or a hypothetical process in sufficient detail to convey the essential
features.
• A process flowsheet is a collection of icons to represent process and arcs to represent the flow of material to and from the units. It emphasizes the flow of material and energy in a chemical process.
What is a simulation flowsheet?
A simulation flowsheet is a collection of simulation units to represent computer program (subroutines or models) that simulate the process units and arcs to represent the flow information among the simulation units.
A typical process simulator
subroutines
Chemical Process
Chemical Process
Simulation(II)
Modeling and Simulation procedure
• Translating the description of a physical system into an appropriate mathematical form.
• Selecting a suitable computational technique. • Implementing the computational technique in
A model is the simplification of reality used to
predict system behavior.
F = ma Physical Model Physical Model Mathematical Model Mathematical Model
Modeling and Simulation
Physical system Mathematical model Results and Interpretation Laws of Nature Mass Equil. Sum H-energy + Rate + Others Equation Solver Matlab MathCad CC-5 Aspen Plus Hysis othersDefine process
Develop Math model
Identify constraint
Develop computer program
Run simulation program
All parameters covered?
Do model and exp.
Agree? Determine optimum conditions Yes Yes No No Flow chart of steps
in
General Process Unit Analysis
1. Define system variables. 2. Write simulation equations. 3. Check degrees of freedom. 4. Choose design variables.
Flash Analysis
An
Information Flow
in
Chemical Process Simulation
•Process Flowsheet
Nature of the Simulation Problem
1. The nature of the process streams
2. The nature of the material being
processed
3. The nature of each type of process unit
4. The specific process configuration
Nature of the Process Streams
1. Flow rate
2. Compositions
3. Temperature
4. Pressure
5. Others
Nature of the Material Being Processed
1. A set values of the pure component
properties of each chemical component in the stream.
2. Values of the stream variables for the particular stream of interest – to
determine the temperature, pressure, and composition of the stream mixture. 3. A model for the thermodynamic and
Nature of the Process Unit
1. The conservation laws: the principles of conservation
of mass, energy, and momentum.
2. The rate laws: relations between rate of flow, heat
transfer, mass transfer, chemical rxn, etc. and driving forces of temperature, pressure, conc., etc.
3. Physical property relations: relations between the
thermodynamic and transport properties and the
intensive variables of temperature, pressure, and conc.
4. Principles of thermodynamic equilibrium: limitations on
the performance of physico-chemical systems imposed
by the 2nd law of thermodynamics.
5. Automatic control theory: relations governing the
Process Configuration
1. The
topology
of the process – the
description of which streams are
connected to which inlet and outlet ports
of which units.
2. The
specifications
of all design and
operating parameters that are under the
control of the designer.
Feed/product Streams
1. Feed stream could be treated as a
process unit with an outlet and no inlet
2. Product stream could be treated as a
Process Simulation Techniques
1. Sequential Modular Approach 2. Equation Oriented Approach
Methods of Analysis of System Structure –
the decomposition of large system
1. Partitioning and precedence ordering
• units that must be solved together are identified in the flowsheet;
• the sequence of computations of the partitioned subsystem are determined
2. Tearing :
resolving a cyclic partitioned unit to a acyclic one.3. Design variable selection :
the best choice of design variables is to render the equations most acyclic.Components of a Simulation Program Executive Program Unit Module Library Numerical Routines Physical Property Data Bank Thermodynami c Package Input Output Solution Optimization Economic Analysis
Sequential Modular Approach
1. Acyclic process – w/o recycles
-Processes are solved sequentially one module at a time.
2. Cyclic process – with recycles
Typical Process Modules
1. MIX - Mix several inlet streams adiabatically to form one product stream.
2. SPLIT – Split a single inlet stream into two or more product streams with the same composition and temperature.
3. COMPRESS – Raise the pressure of a gas by a specific amount. 4. PUMP - Raise the pressure of a liquid by a specific amount.
5. FLASH – Convert a liquid stream at one pressure to liquid and vapor streams in equilibrium at low pressure.
6. REACT – Simulate a chemical reactor.
7. DISTILL, EXTRACT, CRYSTAL, ABSORB – Simulate the
separation processes of distillation, extraction, crystallization, and absorption, respectively.
Simulation of an Acyclic Process
The flowsheet shown here depicts a hypothetical multi-unit separation process. Three liquid streams are mixed adiabatically; The product stream is pumped Through a heater to a distillation column, and the overhead product from the column is partially condensed to yield liquid and vapor products. Using blocks MIX, PUMP, HEAT, DISTILL, and CNDS, construct a block diagram for the Simulation of this process.
Equation Oriented Approach
• All the equations of the whole process are
collected and solved as a large system of
nonlinear algebraic equations.
• Mathematically, the problem is formulated
as an optimization problem, i.e.,
• Minimize h(x,u)
– Subject to f(x,u) = 0 ;process model eqn. g(x,u) = 0 ;process constraints. Where x is the vector of state (dep.) variables, and
Demo of Equation-Oriented approach
Simultaneous Modular Approach Execute Rigorous Models Generate Simple Model Parameters Solved Reduced Optimization Problem Inside Loop Outside Loop
Steps of simultaneous modular approach
1. For the first iteration, make initial estimates of recycle stream values.
2. Solve the problem using the sequential modular approach.
3. Having obtained the first estimate of input and output values for each unit, construct a linear relationship between them, i.e., linearize the model equations.
4. Since the interconnection equations are already linear, solve the whole system of model and interconnection equations
simultaneously using matrix method to obtain a new set of inlet values.
5. If two successive iterates of assumed stream values converge within a preset tolerance, the simulation is complete. Otherwise, go back to step (2).
The scope of a process simulator
1. Prepare process designs
2. Analyze design alternatives
3. Predict the effects of changes on plant
operating conditions
4. Optimize energy consumption
5. Eliminate bottlenecks and increase
Running a Simulator
1. Setting up a problem
2. Creating a flowsheet
3. Specifying engineering data
4. Performing the simulation
Process Simulation
with
ChemCad Simulation Procedures
1. Draw flowsheet,
2. Choose components,
3. Choose thermodynamic model, 4. Define feed streams,
5. Provide equipment parameters, 6. Run the program, and
Be aware of
References:
1. Analysis, Synthesis, and Design of Chemical
Processes by Richard Turton, et al.
2. Chemical Process Simulation by Asghar Husain.
3. Computer Applications in ChE by H. Th. Bussemaker.
4. Modeling and Simulation in ChE by R. G. E. Franks.
5. Process Modeling, Simulation and Control for
Chemical Engineers by W. L. Luyben.
6. Chemical Process Computations by Raghu Raman.
7. Elementary Principles of Chemical Processes,
Chapter 10, by Richard M. Felder and Ronald W.
Rousseau, 2nd Ed.