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