Course Title: Renewable Electrical Energy Systems

Part A: Course Overview

Course Title: Renewable Electrical Energy Systems

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
EEET2334	City Campus	Undergraduate	125H Electrical & Computer Engineering	Face-to-Face	Sem 2 2010, Sem 2 2011, Sem 1 2012, Sem 2 2013, Sem 2 2014, Sem 2 2015, Sem 2 2016
EEET2334	City Campus	Undergraduate	172H School of Engineering	Face-to-Face	Sem 2 2017, Sem 2 2018, Sem 2 2019
EEET2335	City Campus	Postgraduate	125H Electrical & Computer Engineering	Face-to-Face	Sem 2 2010, Sem 2 2011, Sem 1 2012, Sem 2 2013, Sem 2 2014, Sem 2 2015, Sem 2 2016
EEET2335	City Campus	Postgraduate	172H School of Engineering	Face-to-Face	Sem 2 2017, Sem 2 2018, Sem 2 2019

Flexible Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
EEET2412	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSe22017 (VE18)
EEET2412	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSep2018 (VE20)
EEET2412	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSep2019 (VE22), OFFSep2019 (VE25), OFFSep2019 (All)

Course Coordinator: Dr. Manoj Datta

Course Coordinator Phone: +61 3 9925 2105

Course Coordinator Email: manoj.datta@rmit.edu.au

Course Coordinator Location: 10.08.10

Course Coordinator Availability: contact by email to arrange a meeting time

Pre-requisite Courses and Assumed Knowledge and Capabilities

You should have completed a programming course and several mathematical courses. You should be able to analyse electrical energy circuits and conduct mathematical analyses. It is assumed that you have a broad scientific and engineering background and can for example perform energy balance analysis of renewable energy systems.

Course Description

This course will introduce you to renewable electrical energy systems, their characteristics, design procedures and economic analysis. Renewable energy sources such as solar PV, wind, fuel cell, marine and hydro will be covered in this course. The emphasis is on the design and analysis of practical renewable electrical energy systems as well as on the distributed generation, recent grid codes and economic analysis of renewable energy sources in the context of smart grid.

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onward. See the WAM information web page for more information.

Objectives/Learning Outcomes/Capability Development

At undergraduate level this course develops the following Program Learning Outcomes for

• 1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
• 2.1 Application of established engineering methods to complex engineering problem solving.
• 2.2 Fluent application of engineering techniques, tools and resources.

At postgraduate level this course develops the following Program Learning Outcomes for

• High levels of technical competence in the field
• Be able to apply problem solving approaches to work challenges and make decisions using sound engineering methodologies

On completion of this course you should be able to:

1. Analyse the characteristics of a PV system, explain and develop maximum power point tracking algorithm, and design residential grid connected PV systems, standalone PV systems, and PV based water pumping systems.
2. Explain and identify different components of a wind power generation systems and analyse the output power characteristics, design grid-connected wind power systems, and estimate available wind power for a specific wind resource site using probability density functions.
3. Explain the basic working principles of wave, tidal, micro-hydro, pumped hydro, and fuel cell in electrical aspects.
4. Explain and identify different components of common energy storage systems and design charging/ discharging control based on averaging algorithm. 
5. Perform economic analysis and feasibility study of micro grids.
6. Understand the structure and various elements of the distributed generation (DG) and their advantages and disadvantages including renewable and non-renewable generators in the context of smart grid and power grid codes around the world and Australia.
7. Work in a team environment with nominal directions and converse engineering findings and designs through simulation experiments and written reports.

Overview of Learning Activities

Student Learning occurs through the following experiences and evaluation processes:

• Weekly lectures will guide you to important theoretical concepts and principles of renewable energy systems.
• Weekly tutorial classes will allow you to attempt a range of renewable generator based mathematical and design problems and receive feedback on solution strategies.
• Weekly laboratory classes will guide you to model, simulate and develop renewable energy systems.

 

Overview of Learning Resources

The learning resources include:

• Lecture Notes prepared by the academic staff.
• Tutorial problems prepared by the academic staff.
• Prescribed and recommended reference books and reading materials: See the course guide Part B.
• Simulation software during the laboratory classes.
• Online course content.

 

Overview of Assessment

☒This course has no hurdle requirements.

The assessment tasks for this course include:

• Continuous class time quizzes
• Laboratory exercises and assignments.
• Mid semester test.
• Final exam.

The mid semester test and final exam will assess your analysis, design and problem solving capabilities.

Assessment tasks: Continuous Class Time Quizzes : Weighting 10% This assessment task supports CLOs 1, 2, 3, 4 & 5 Mid-semester Test: Weighting 10% This assessment task supports CLOs 1 & 2 Laboratory Exercises and Assignments : Weighting 30% This assessment task supports CLOs 1, 2, 3 , 4 & 6 Final Exam: Weighting 50% This assessment supports CLOs 1, 2, 3 & 5