Postgraduate Programme and Module Handbook 2024-2025
Module ENGI47115: Electrical Energy Conversion
Department: Engineering
ENGI47115: Electrical Energy Conversion
Type | Tied | Level | 4 | Credits | 15 | Availability | Available in 2024/2025 | Module Cap |
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Tied to | H1KD09 |
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Tied to | H1KF09 |
Tied to | L6K907 |
Prerequisites
- <If other modules, please enter module code using 'Right Click, Insert module_code' or enter module title>
Corequisites
- As specified in programme regulations.
Excluded Combination of Modules
- As specified in programme regulations.
Aims
- This module is designed solely for students studying Department of Engineering degree programmes.
- To provide an overview and describe the characteristics of renewable electrical energy conversion.
- To explain the working principles of systems for renewable electrical energy conversion.
- To explain the technical and economic constraints and potential solutions related to renewable electrical energy conversion.
- To introduce and familiarise students with analytical methods and simulation tools for system analysis.
Content
- Electromechanical drive train configurations and interactions for renewable electricity generation.
- Electrical machines for renewable energy applications.
- Unusual drive train and electrical generator topologies.
- Wind, wave, tidal and photovoltaic electricity generation.
- Reliability and operational considerations for renewable electricity generators.
Learning Outcomes
Subject-specific Knowledge:
- A knowledge of the benefits and limitations of technologies currently used or being developed for renewable electrical power generation.
- An appreciation of drive train electromechanical interactions and their influence on electrical system design and selection.
- An understanding of component and system considerations for typical electrical machine topologies.
- A knowledge of trends and developments in the areas of electrical energy generation and distribution.
Subject-specific Skills:
- An awareness of current technology, analysis methods and industrial practices along with the ability to apply those methods in novel situations.
- An ability to understand electrical machines and drives within particular contexts and the resulting system design considerations.
- An in-depth knowledge and understanding of specialised and advanced technical and professional skills, an ability to perform critical assessment and review and an ability to communicate the results of their own work effectively.
Key Skills:
- Capacity for independent self-learning within the bounds of professional practice.
- Specialised numerical skills appropriate to an engineer.
- Mathematics relevant to the application of advanced engineering concepts.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The module content is delivered in lectures and is reinforced by self-learning sessions and formative problem sheets, equipping students with the required problem-solving capability.
- Students can make use of staff "office hours" to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign-up sessions available for one hour per week per lecture course.
- Students will be required to submit formative problem sheets throughout the academic year into the virtual learning environment to check their understanding as the course progresses.
- Students will be formed into study groups and will attend timetabled self-learning sessions (up to a maximum of two) during the Michalemas and Epiphany terms.
- A benchmark test will take place at the start of the academic year. This will be used to guage students understanding and direct them to further study as appropriate.
- A mock exam will take place in the Epiphany term. This will be used to provide students with an exam type experience in a formative setting and allow them to discuss their performance with a member of academic staff.
- Written timed examinations are appropriate because of the wide range of analytical, in-depth material covered in this module and allow students to demonstrate the ability to solve advanced problems independently.
Teaching Methods and Learning Hours
Activity | Number | Frequency | Duration | Total/Hours | |
---|---|---|---|---|---|
Benchmark Test | 1 | Completed during Induction Week | 30 mins | 0.5 | |
Lectures | 20 | Typically 1 per week | 1 hour | 20 | |
Revision Leacture | 1 | 1 hour | 1 | ||
Tutorial Hours | As required | Weekly sign-up sessions | Up to 1 hour | 12 | |
Self learning session | 2 | Throughout first two terms | 3 hours (includes 1 hour preparation to be completed before attending the session) | 6 | |
Practice Exam | 1 | Epiphany Term | 30 mins | 0.5 | |
Preparation & reading | 110 | ||||
Total | 150 |
Summative Assessment
Component: Examination | Component Weighting: 100% | ||
---|---|---|---|
Element | Length / duration | Element Weighting | Resit Opportunity |
Written online examination | 2 hours | 100% | Yes |
Formative Assessment:
Formative assessment is provided by means of formative problem sheets, benchmark test and mock examinations.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University