PROCESS MODELLING AND SIMULATION - 2021/2

Module Overview

This module addresses the concepts, methods, and tools of process modelling and simulation.

Module provider

Chemistry and Chemical Engineering

Module Leader

KLYMENKO Oleksiy (Chm Proc Eng)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Module Availability

Semester 1

Prerequisites / Co-requisites

N/A

Module content

Indicative content includes:

1. General concepts: System, model, simulation.

2. Construction of mechanistic models: conservation laws, constitutive relations, dynamic and steady-state models, lumped and distributed models.

3. Solution of equation systems (simulation): algebraic equation systems, differential/ algebraic differential equation systems, partial differential systems.

4. Parameter estimation: data acquisition, parameter estimation methods, error analysis.

5. Modular simulation: sequential approach, partitioning, convergence of loops, simultaneous modular approach.

6. Introduction to data-driven/statistical modelling: regression models, artificial neural networks, hybrid models.

7. Introduction to modelling and simulation tools:

-          Flowsheeting tool – ASPEN Plus, case studies

-          Generic modelling tool - MATLAB, case studies

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate

 

Learning outcomes 1, 2, 3, 4 on the unseen written examination;

Learning outcomes 2, 3, 4, a, b, c on Coursework; The coursework will involve simulation of the various types of unit operations present in a process flowsheet, using ASPEN Plus.

Thus, the summative assessment for this module consists of:

• Unseen written examination, 2 hours;


• Coursework, approx. 20 hours.

Module aims

• Provide a systematic introduction to the concepts, principles, methods, and related software tools for mathematical modelling and simulation of chemical process systems.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

Guide the student through modelling from unit to production level concluding the learning process with flowsheet simulation.

The learning and teaching methods include:

22 hours of lectures in 11 weeks

11 hours of supervised computer supervised computer labs in 11 weeks

Reviewing lecture: 2 hours Week 12 

 

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ENGM214

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2021/2 academic year.