Chemical Process Simulation Using Dwsim, Scilab & Chemsep

Chemical Process Designing | Process Modelling | Process Simulation | Process Optimization | DWSIM | SCILAB | ChemSep

What you'll learn

Synthesis of Reaction Paths

Synthesis of Heat Exchanger Networks (HENs)

Synthesis of Separation Sequences

Synthesis of Energy Recovery Networks

Requirements

Basic Understanding of Chemical Engineering

Description

Each session shall be of two hours.  Sessions 1 through 14 are on Advanced Process Simulations and Sessions 15 through 21 are on Artificial Intelligence in Chemical Process Industry. Sessions 1 through 7, 15 through 21 are contemporary industrial case study learning and sessions 8 through 14 are completely hands on exercises. Special Feature: A complementary session on personal research work on India’s First BioCNG Plant and Green Hydrogen Production shall be delivered at the end.Software to be used: DWSIM SCILAB ChemSepSkills those shall be earned/fostered after the internship: Engineering Fundamentals and Concepts Mathematical Modelling Process Synthesis and Analysis Process Design Process Modelling Process Simulation Process Optimization Process Retrofitting Process Debottlenecking Process Data Analytics Data Modelling Artificial Intelligence Tools Deep Learning using Artificial Neural Networks Industry 4.0 for Process Engineering Contemporary Industrial case studiesAt the end of this course, the participants shall be able to: Review the developments of process design and simulation fostering economy Show how advanced Process Simulators function Share various contemporary industrial simulation case studies with facilitation of ICT enabled tools Encourage use of process simulators for simulation of Chemical Manufacturing processes and plants Apply advanced Computational Intelligence as Process Data Analytics, Artificial Intelligence, Machine Learning with deep learning of Artificial Neural Networks

Overview

Section 1: Introduction

Lecture 1 Engineering Fundamentals and Concepts

Section 2: Mathematical Modelling

Lecture 2 Developing Mathematical Models for Process Simulations

Section 3: Process Synthesis and Analysis

Lecture 3 Synthesis of commercial chemical processes

Section 4: Process Design

Lecture 4 Design of Vinyl Chloride Plant, Heuristics in Design

Section 5: Process Modelling

Lecture 5 Systems for modelling Chemical Engineering processes

Section 6: Process Simulation

Lecture 6 Process Simulation

Section 7: Process Optimization

Lecture 7 Process Optimization

Section 8: Contemporary Industrial case studies Stream Property Data

Lecture 8 Contemporary Industrial case studies Stream Property Data

Section 9: Contemporary Industrial case studies T-xy and VLE Plots

Lecture 9 Generate vapourliquid equilibrium data (VLE) for a binary component system

Section 10: Contemporary Industrial case studies Steam Compressor

Lecture 10 Design Compressor with retrofitting

Section 11: Contemporary Industrial case studies Flash Column

Lecture 11 Develop a simple process flow sheet to estimate the liquid and vapour composit

Section 12: Contemporary Industrial case studies Heat Exchanger

Lecture 12 Develop a simple process flow sheet to determine the heat duty required to hea

Section 13: Contemporary Industrial case studies Fluid Pumping Station Pump, Pipe Segment

Lecture 13 eeeee

Section 14: Industrial case studies Ethanol Distillery Mixer Heater and Flash Drum

Lecture 14 Develop a simple process sheet to distill Ethanol for Rectified Spirit

Section 15: Industrial case studies Full Plant Case Study

Lecture 15 BT Column Sensitivity Analysis

Section 16: Industrial case studies  Full Plant Case Study

Lecture 16 Ethanol Acetone Separation

Section 17: Heat Exchanger Design using HTRI

Lecture 17 Industrial Shell and Tube Heat Exchanger Design Methodology

Section 18: Industry 4.0 for Process Engineering

Lecture 18 Tools and Systems in Industry 4.0 specially crafted for Process Industry

Section 19: Process Data Analytics & Data Modelling

Lecture 19 Descriptive and Inferential Statistics, Random sampling, decision process

Section 20: ddddd

Lecture 20 Frequency distribution, Pareto chart, Histogram, Class IntervalsFrequency

Chemical Engineering students