Process Modeling and Simulation
Strategy for Simulation
for
Ch.E-408
Course Facilitator:
Engr. Dr. Muhammad Athar
Department of
Chemical Engineering
and Technology
Lecturer: Dr. Muhammad Athar| Email: m.athar@mnsuet.edu.pk
Study Material for Lecture
Lecture Slides
Chapter 2 (An Overview of Modelling and Simulation),
Sec 2.1 pg. 18 - 25, Ashok K. Verma. Process Modelling and
Simulation in Chemical, Biochemical and Environmental
Engineering CRC Press, Taylor & Francis Group, 2014.
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Lecture Objectives
•
To know the strategy and important steps of
simulation
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Recap
•
Difference between Modeling and Simulation ?
•
Process Modeling & Process Simulation?
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Strategy for Simulation
•
Simulation is a sudden process or systematic
Systematic
process?
•
Various Steps (Series / Parallel) ?
•
No of Steps:
Series
7
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Strategy for Simulation
Problem
Definition
Understandi
ng the
Process
Process
modelling
Simulation
Steps
Software
selection
Solution of
Model
Equations
Model
Validation
Simulation
Study
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Problem Definition
•
•
•
•
First and most critical step
If you know what is the issue, only then you can give a best solution
Define what is your goal
Fixed reaction temperature, yield etc.? OR Optimum Conditions to
get economical product in a safe way
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Understanding the Process
•
•
What is the process, like input, output, any phenomena
Minimum information needed is conditions, mass/energy flow etc.
and basic unit operations
•
•
•
Any extra information, depends on the scope of work
Scope is limited with assumptions / known as boundary conditions
Significant and insignificant variables inclusion / exclusion decision
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Process Modelling
•
The physical picture of process is transformed into mathematical
picture
•
Single or number of equations
Words to
define
process
Tells what is
the process
system
Pictorial
Representation
of process
How the system is
working (In/out &
Flows etc.)
Mathematical
Representation
of process
How the system is
behaving (Estimation of
unknowns without real
system)
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Software Selection
•
To solve the mathematical equations with fast speed, software /
programming languages are used.
Availability
Software
Selection
Parameters
Cost
Trained
Personnel
Suitability
•
With passage of time improved softwares/ languages
are available
•
Commercial Packages needs to be purchased or use
open source things
•
•
Any person is available who can use
Sometimes users deny a preferred software just
because he does not know that software
•
•
Chosen software can serve or not your purpose
Flexible in use, like solve algebraic, differential
equations etc.
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Solution of Model Equations
•
The mathematical equations / model are coded using the syntax of
programming language
•
Equations are solved using the codes and methods to solve the
equations are coded separately
•
User defined variables must be defined in limits only, no extra input
must be provided
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Model Validation
•
•
Solving the model does not mean that the model has been developed successfully
It is important to estimate various parameters using the model and compare them
with experimental data
•
A satisfactory agreement between the experimental data and model prediction is
called ‘model validation’
•
•
A model is ready to use for simulation studies only after successful validation
Some parameters needs to be used as these adjust the models near to the
experimental data
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Simulation Study
•
Model is used several times with an aim to study the effect of
operating parameters on the performance of the process
•
•
The optimum operating conditions can also be determined
Results can be presented in various ways either using the simulation
software or external software to process the data
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation
Course: Process Modeling and Simulation | Lecture: Strategy for Simulation