Postgraduate Programme and Module Handbook 2023-2024 (archived)
Module ENGI44I10: Smart Energy Networks 4
Department: Engineering
ENGI44I10: Smart Energy Networks 4
| Type | Tied | Level | 4 | Credits | 10 | Availability | Available in 2023/24 | Module Cap | None. |
|---|
| Tied to | H1K909 |
|---|---|
| Tied to | H1K609 |
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 energy networks.
- To explain the working principles of systems for integrating renewable energy sources.
- To explain the technical constraints and potential solutions related to smart energy networks.
Content
- Future energy systems
- Advanced metering infrastructure
- Demand side management
- Renewable energy integration
- Overview of power system operation
- Fault analysis and protection
- Stability analysis and control
Learning Outcomes
Subject-specific Knowledge:
- An appreciation of the impacts of increasing renewable electrical power generation on the existing infrastructure of electrical power systems.
- A knowledge of modern design trends in the areas of energy distribution and consumption.
- A knowledge of power system protection and fault calculations.
- A knowledge of advanced smart grid technologies in future energy systems.
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 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.
- Students are able to make use of staff 'Tutorial Hours' to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign up sessions available for up to one hour per week per lecture course.
- 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 | |
|---|---|---|---|---|---|
| Lectures | 20 | Typically 1 per week | 1 Hour | 20 | |
| Tutorial Hours | As required | Weekly sign-up sessions | Up to 1 Hour | 10 | |
| Preparation and Reading | 70 | ||||
| Total | 100 |
Summative Assessment
| Component: Examination | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Written Examination | 2 hours | 100% | |
Formative Assessment:
N/A
■ 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