# 2024/25 Taught Postgraduate Module Catalogue

## ELEC5564M Electric Power Generation by Renewable Sources

### 15 creditsClass Size: 160

Module manager: Dr. Li Zhang
Email: l.zhang@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2024/25

This module is not approved as an Elective

### Module summary

This module explores the pivotal role of renewable energy technologies in advancing sustainable electrical engineering. It provides students with knowledge of sustainable electrical power generation using renewable energy harvesting technologies, with particular emphasis on electrical solar and wind power generation.

### Objectives

This module has the following objectives:
- To understand the principles of generating electrical power using solar photovoltaics and wind-turbine generators, with a focus on integration into electricity systems.
- To employ mathematical and computational methods to model and analyse the electrical characteristics of solar PV arrays, enabling a comprehensive understanding of diverse operational conditions.
- To develop expertise in controlling solar PV power systems using mathematical and computational approaches.
- To study the working principles of wind power generators and control mechanisms for efficient operation.

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes:
1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex electric power generation problems. Much of the knowledge will be at the forefront of electric power generation and informed by a critical awareness of new developments and the wider context of engineering.
2. Formulate and analyse complex electric power generation problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.
3. Select and apply appropriate computational and analytical techniques to model complex electric power generation problems, discussing the limitations of the techniques employed.

Skills Learning Outcomes

On successful completion of the module students will have demonstrated the following skills learning outcomes:
a) Application of science, mathematics and/or engineering principles
b) Problem analysis
c) Application of computational and analytical techniques

### Syllabus

Topics may include, but are not limited to:
• Overview of Sustainable Electrical Engineering development.
• Properties of solar radiations, principles of direct conversion of sunlight into electricity though photovoltaic (PV) effect
• Physics of solar PV cell, Photovoltaic materials, and physical structure of a solar PV module
• Overview of third generation solar PV) technologies including multi junction solar PV cells
• Electrical characteristics and equivalent electrical circuit of solar PV modules
• Control and management of PV power generation systems through power conditioning units (DC-DC converters, DC-AC inverters)
• Extractable power from the wind: cube law, power coefficient
• Characteristics of horizontal-axis wind-turbine, analysis of forces on a turbine blade, axial thrust and tip-speed ratio
• Shaft torque and power
• Efficiency of wind powered generators
• Electrical generators including synchronous and induction generators
• Induction generator static and dynamic model
• Generator-converter configurations for constant speed constant frequency (CSCF) and variable speed constant frequency (VSCF) systems
• Analysis of doubly fed induction generator for wind power conversion
• Control of wind power generation systems including
• Optimal turbine speed control
• Maximum power point tracking and supervisory control from start to shut

Methods of Assessment

We are currently refreshing our modules to make sure students have the best possible experience. Full assessment details for this module are not available before the start of the academic year, at which time details of the assessment(s) will be provided.

Assessment for this module will consist of;

1 x Coursework
1 x Exam

### Teaching methods

 Delivery type Number Length hours Student hours Examples Class 4 1.00 4.00 Lecture 10 2.00 20.00 Practical 4 2.00 8.00 Private study hours 118.00 Total Contact hours 32.00 Total hours (100hr per 10 credits) 150.00

### Opportunities for Formative Feedback

Students studying ELEC modules will receive formative feedback in a variety of ways, which may include the use of self-test quizzes on Minerva, practice questions/worked examples and (where appropriate) through verbal interaction with teaching staff and/or post-graduate demonstrators.

### Methods of assessment

Coursework
 Assessment type Notes % of formal assessment In-course Assessment Coursework 30.00 Total percentage (Assessment Coursework) 30.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams
 Exam type Exam duration % of formal assessment Standard exam (closed essays, MCQs etc) 3 hr 00 mins 70.00 Total percentage (Assessment Exams) 70.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated