ENGINEERING SYSTEMS AND DYNAMICS - 2022/3
Module code: ENG2120
This module will introduce students to the systems approach for engineering design and analysis, and extends understanding to include the dynamic behaviour of process systems.
Chemistry and Chemical Engineering
COSTELLO Katie (Chm Proc Eng)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 5
JACs code: H650
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 78
Lecture Hours: 11
Tutorial Hours: 11
Laboratory Hours: 6
Guided Learning: 22
Captured Content: 22
Prerequisites / Co-requisites
Indicative content includes:
- Introduction to systems engineering principles
- Structural / graphical representations of chemical process systems: block diagrams, process flow diagrams, piping and instrumentation diagrams
- Process systems economics: types of costs and basic estimation methods
- Optimisation: principle, basic methods and tools
- Design communication (diagrams)
- Process economics
- Pressure vessel design
- Introduction to dynamic process models: occurrence and use in Chemical Engineering processes
- General process modelling approach
- Batch, continuous and cyclic operations
- Lumped and distributed operations
- Linear and non-linear systems
- Systems of differential and algebraic equations
- Stability of steady states
- Introduction to MATLAB
- Representative examples: batch reactor, discharge from a tank, well-mixed tank, membrane separation, thermal runway, adsorption bed
- Laplace transform for the solution of linear differential equations
|Assessment type||Unit of assessment||Weighting|
|Coursework||GENERAL ENGINEERING SYSTEMS AND DESIGN||10|
|Coursework||DYNAMIC SYSTEMS AND MATLAB||15|
|Examination Online||ONLINE (OPEN BOOK) EXAM||75|
The assessment strategy is designed to provide students with the opportunity to demonstrate the full range of learning outcomes though coursework in: (i) the construction of block and process flow diagrams and, (ii) the modelling and simulation of simple dynamic systems. The coursework is designed to give a fundamental understanding of concepts as well as integrative understanding in the conceptualisation, modelling, simulation and analysis of a simple process.
Thus, the summative assessment for this module consists of:
· Examination – 75%, 2 hours (LO1, LO3 – LO5)
· Coursework (2 elements):
(i) General engineering systems and design - 10% (LO2)
(ii) Dynamics systems and MATLAB - 15% (LO5, LO6)
- Verbal feedback during tutorial / MATLAB classes (LO1 – LO3, LO5, LO6)
- Verbal feedback during optional drop-in tutorial classes (LO5, LO6)
- Written and verbal feedback on coursework (LO2, LO5, LO6)
- Introduce students to the basic concept of general systems and systems engineering approaches, with particular attention to the structural representation of chemical process systems, process economics and the principle of optimisation.
- Provide an introduction to dynamic systems in Chemical Engineering and the approaches and tools for the simulation of such systems.
- Provide an introduction the Laplace transform and its application for solving linear differential equations.
|001||Describe the common features and aspects of general systems and how these apply to specific Chemical Engineering processes.||KC|
|002||Create and interpret graphical representations of chemical process systems, including block diagrams, PFDs, and P&IDs.||KCP|
|004||Identify key procedures for performing economic analysis of chemical processes.||KC|
|005||Describe and classify dynamic process models in Chemical Engineering.||K|
|006||Apply systematic approaches for the mathematical modelling of representative Chemical Engineering processes||KC|
|008||Use MATLAB as a simple means of simulating and analysing simple dynamic systems.||CPT|
|007||Apply Laplace transforms to basic functions and differential equations, and the subsequent solution of differential equations using Laplace transforms||KC|
|003||Undertake pressure vessel design claculations, including material selection and thickness||KC|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
- Use a combination of lectures, process examples and simulation exercises to develop an understanding of process systems and their dynamics.
- Give emphasis to design development and representation.
- Introduce the basic use of MATLAB through its application to a range of simple systems.
- Encourage independent and ongoing learning of MATLAB
The learning and teaching methods include:
- Lectures 2-3 hours per week for 11 weeks
- Tutorials 0.6 hours per week for 11 weeks (average)
- Guided work 6 hours guided work (MATLAB)
- Independent learning 9.1 hours per week for 12 weeks (average)
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.
Upon accessing the reading list, please search for the module using the module code: ENG2120
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 2022/3 academic year.