Module code: ENGM214

Module provider

Chemical and Process Engineering

Module Leader

CHEN T Dr (Chm Proc Eng)

Number of Credits


ECT Credits



FHEQ Level 7

JACs code


Module cap (Maximum number of students)


Module Availability

Semester 1

Overall student workload

Independent Study Hours: 117

Lecture Hours: 20

Laboratory Hours: 13

Assessment pattern

Assessment type Unit of assessment Weighting
Examination EXAMINATION 2 HOURS 50%
Coursework COURSEWORK 1 25%
Coursework COURSEWORK 2 25%

Alternative Assessment


Prerequisites / Co-requisites


Module overview

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

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
Identify and explain the types of mathematical models KC
Explain and apply the workflow of developing models and conducting numerical simulations P
Select the proper type of methods and tools for a given problem ; KP
Apply standard tools to solve practical engineering problems P
Working independently and with initiative; T
Finding and assessing information; T
Managing time and working to deadlines. T

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

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, Neural Networks, hybrid models.

7. Introduction to modelling and simulation tools:

-          flowsheeting tools – ASPEN Plus,

-          mathematical modelling tools - MATLAB

 8. Flowsheeting with Aspen Plus: case studies.

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

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

The learning and teaching methods include:

3 hours lectures per week x 6 weeks

4 hours of supervised computer supervised computer labs per week x 5 weeks


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 1;

Learning outcomes 2, 3, 4, a, b, c on Coursework 2;

Thus, the summative assessment for this module consists of:

·         Unseen written examination, 2 hours;

·         Coursework 1, process modelling in Matlab, approx. 20 hours;

·         Coursework 2: process simulation in Aspen Plus, approx. 20 hours;

Formative assessment and feedback

The students will receive written feedback on their coursework. 

Reading list


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 2017/8 academic year.