PROCESS MODELLING AND SIMULATION - 2018/9

Module code: ENGM214

Module Overview

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

Module provider

Chemical and Process Engineering

Module Leader

CHEN T Dr (Chm Proc Eng)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

JACs code: G150

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

Assessment type Unit of assessment Weighting
Examination EXAMINATION 2 HOURS 75
Coursework COURSEWORK 25

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.


Formative assessment and feedback

The students will receive feedback on their learning, in-class tutorial, problems and coursework. Formative assessment will also be carried out on problem solving using Matlab.

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

Attributes Developed
001 Identify and explain the types of mathematical models KC
002 Explain and apply the workflow of developing models and conducting numerical simulations P
003 Select the proper type of methods and tools for a given problem ; KPT
004 Apply standard tools to solve practical engineering problems PT
005 Working independently and with initiative; T
006 Finding and assessing information; T
007 Managing time and working to deadlines. T

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Overall student workload

Independent Study Hours: 117

Lecture Hours: 20

Laboratory Hours: 13

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:

21 hours of lectures in 11 weeks

12 hours of supervised computer supervised computer labs in 11 weeks

 

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

Reading list for PROCESS MODELLING AND SIMULATION : http://aspire.surrey.ac.uk/modules/engm214

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Information and Process Systems Engineering MSc 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Petroleum Refining Systems Engineering MSc 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Process and Environmental Systems Engineering MSc 1 Optional A weighted aggregate mark of 50% is required to pass the module
Renewable Energy Systems Engineering MSc 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Process Systems Engineering MSc 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Chemical Engineering MEng 1 Optional A weighted aggregate mark of 50% is required to pass the module
Chemical and Petroleum Engineering MEng 1 Optional A weighted aggregate mark of 50% is required to pass the module

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 2018/9 academic year.