PROCESS MODELLING AND SIMULATION - 2020/1
Module code: ENGM214
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.
Prior to registering online, you must read this general information and all relevant additional programme specific information. By completing online registration, you acknowledge that you have read such content, and accept all such changes.
Module Overview
This module addresses the concepts, methods, and tools of process modelling and simulation.
Module provider
Chemical and Process Engineering
Module Leader
KLYMENKO Oleksiy (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 |
|---|---|---|
| Coursework | COURSEWORK | 25 |
| Examination | EXAMINATION 2 HOURS | 75 |
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: 22
Laboratory Hours: 11
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
| Programme | Semester | Classification | Qualifying conditions |
|---|---|---|---|
| Petroleum Refining Systems Engineering MSc | 1 | Compulsory | A weighted aggregate mark of 50% is required to pass the module |
| Information and Process Systems Engineering MSc | 1 | Compulsory | 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 2020/1 academic year.