Undergraduate Programme and Module Handbook 2021-2022 (archived)

Module ENGI4467: Electrical Energy Conversion 4

Department: Engineering

ENGI4467: Electrical Energy Conversion 4

Type	Tied	Level	4	Credits	10	Availability	Available in 2021/22	Module Cap	None.	Location	Durham

Tied to	H100

Prerequisites

ENGI3371

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 problem sheets, equipping students with the required problem solving capability.
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%	No

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