PROCESS AND ENERGY INTEGRATION - 2021/2
Module code: ENGM071
Process integration is an efficient tool, which enables the reduction of capital investment and energy consumption according to the principles of sustainable development applicable for new and retrofit process design. Computer-aided process engineering tools together with mathematical programming enable systematic and simultaneous handling of process integration problems.
This module introduces a wide range of methods of heat integration of processes within a production site and for total site energy integration. The design of heat exchanger networks (HEN), utility selection, integration of units such as heat engines, heat pumps, and placement of reactors and separators will be addressed. Sequential and simultaneous approaches will be explored utilizing graphical, empirical and mathematical modelling tools.
Chemical and Process Engineering
KLYMENKO Oleksiy (Chm Proc Eng)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: H800
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 100
Lecture Hours: 11
Tutorial Hours: 11
Laboratory Hours: 6
Guided Learning: 11
Captured Content: 11
Prerequisites / Co-requisites
Fundamentals of heat transfer such as ENG2121 HEAT TRANSFER AND LABORATORY and thermodynamics such as ENG2122 CHEMICAL ENGINEERING THERMODYNAMICS or equivalent.
Indicative content includes:
Introduction: need for process integration, overview of existing methods for unit and total site energy integration.
Pinch Design Method: data extraction from process flowsheets, setting energy targets through thermodynamic principles, construction of the Composite and Grand Composite Curves, utility selection in the overall process context, pinch design method for heat exchanger networks, placement of heat engines, heat pumps, reactors, distillation columns and evaporators, total site energy integration.
Introduction to methods based on mathematical modeling: transshipment model for energy targeting formulated as a linear programing (LP) problem (minimization of the utility cost), superstructural approach to process and total site energy integration (MINLP problem).
|Assessment type||Unit of assessment||Weighting|
|Examination Online||ONLINE (OPEN BOOK) EXAM||60|
The assessment strategy is designed to provide students with the opportunity to demonstrate
- Learning outcomes 1, 2, 3 in the unseen written examination;
- Learning outcomes 1, 2, a, b, c in Coursework 1;
- Learning outcomes 3, 4, a, b, c in Coursework 2.
Thus, the summative assessment for this module consists of:
- Unseen written examination, 2 hours;
- Coursework 1: Homework assignment, approx. 12 hours;
- Coursework 2: Design project with individual report, approx. 20 hours.
- Class discussions
- Problem solving
The students will receive written feedback on their coursework
- - Develop the students' understanding of the area of process integration.
- Highlight problems faced in the development of solution strategies for the synthesis of energy recovery networks in the context of the overall chemical flowsheet.
- Develop an understanding of the main approaches to the solution of heat integration problems in process design and available software tools.
|001||Determine energy targets and design heat exchanger networks||KCP|
|002||Integrate processes with aim to reduce the utility consumption||KP|
|003||Select an appropriate method for energy integration by considering the shortcomings of existing technology and research trends||K|
|004||Use commercial process design software to solve problems of industrial complexity||P|
|005||Work independently and proactively||T|
|006||Find and assess information||T|
|007||Manage time and work to deadlines||T|
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:
Introduce graphical and mathematical methods of heat integration to students through lectures and working sessions. The methods are then applied in case studies identifying their advantages and disadvantages.
The learning and teaching methods include:
- 2 hours of lectures per week x 11 weeks;
- 1 hour working sessions per week x 11 weeks;
- 2 hours of supervised computer labs per week x 3 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.
Upon accessing the reading list, please search for the module using the module code: ENGM071
Programmes this module appears in
|Process Systems Engineering MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Renewable Energy Systems Engineering MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Petroleum Refining Systems Engineering MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Information and Process Systems Engineering MSc||2||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 2021/2 academic year.