ENEL667-26S2 (C) Semester Two 2026

Renewable Electricity System Design

15 points

Details:
Start Date: Monday, 13 July 2026
End Date: Sunday, 8 November 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 26 July 2026
  • Without academic penalty (including no fee refund): Sunday, 27 September 2026

Description

This course is aimed at applying system theory to the practical design of renewable electricity systems. It is primarily focused on technical design. Topics can include (but are not limited to) the design of renewable electricity systems and/or their components: generation, inverters, electricity storage devices, component or system protection and control, integrated off-grid and grid tied systems.

The course will be taught over 24 lecture hours (one two-hour session per week). Material will be delivered in lecture form, which includes the following topics:

• Energy, electricity, emissions, environment and the thrust for renewable energy
• Power electronic tools for the grid integration of renewable energy sources
• Wind power, solar power, geothermal power, biomass and waste power
• Energy storage and distributed generation
• Relationships with Iwi, the role of our indigenous population on renewable energy projects

In addition, time is allocated for group discussion of the lectured material and for working on the project.

Learning Outcomes

The learning outcomes of ENEL667 are aligned with the outcome statement and graduate characteristics of the Master of Engineering Studies. ENEL667 is taught at Level 9 of the New Zealand Qualifications Framework (NZQF).

• LO1: Derive design requirements for renewable energy systems (WA1, WA2, WA3)

• LO2: Obtain and critically evaluate literature and data relating to the design of renewable energy systems (WA2, WA3, WA4, WA12)

• LO3: Apply Systems Engineering principles and data to design and predict the performance of renewable energy systems (WA1, WA2, WA3, WA4, WA5)

• LO4: Analyse and evaluate the social and environmental outcomes associated with renewable energy systems (WA6, WA7, WA8)

• LO5: Effectively collaborate and communicate with peers and subject experts (WA9, WA10, WA11)

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Biculturally competent and confident

Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.

Engaged with the community

Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.

Restrictions

Timetable 2026

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 A5 Lecture Theatre
13 Jul - 23 Aug
7 Sep - 18 Oct
Lecture B
Activity Day Time Location Weeks
01 Thursday 13:00 - 14:00 Psychology - Sociology 252 Lecture Theatre
13 Jul - 23 Aug
7 Sep - 18 Oct

Course Coordinator

Andrew Lapthorn

Lecturer

Jeremy Watson

Assessment

Assessment Due Date Percentage 
Specification Report 5%
Test 1 30%
Test 2 30%
Final Report 35%

Additional Course Outline Information

Academic integrity

Artificial Intelligence Tools
The use of Artificial Intelligence (AI) tools for the assessment in ENEL481 is summarised in the Table below. No AI use is allowed in the test and exam because these are closed-book invigilated assessments. Students are always responsible for the accuracy of the submitted works, regardless of which tools are used.

Assessment Item and Permitted use of AI
Assignment:  Generative AI Tools Are Permitted for Certain Parts of This Assessment
Tests:  Generative AI tools cannot be used for this assessment.

Generative AI Tools Are Permitted for Certain Parts of This Assessment

In these assessments (Assignment), you are permitted to use generative artificial intelligence (AI) for the purpose of proof reading and editing the document, and for gathering and summarising knowledge. No other use of generative AI is permitted. To assist with maintaining academic integrity, you must appropriately acknowledge any use of generative AI in your work. Please include a Statement of AI use (if no AI tool has been used, then this must also be stated) and a listing of all prompts provided to the AI tool, clearly indicating which AI tools were used and how they contributed to your assessment.

Assessment and grading system

The examiners will award a failing grade to students who score less than 40% for the Tests combined. More formally, (Test1Percent * 0.3 + Test2Percent * 0.3) / 0.6 must be greater than or equal to 40 for a pass mark to be awarded. This note is put in place to ensure that each student has adequately shown to the examiners they have gained some mastery of the topic.

Scaling of marks

In order to maintain consistency across courses and fairness for students, scaling of raw marks occurs. In the Faculty of Engineering, target course GPAs are calculated based on the performance of the cohort of students in their courses in the previous year. Scaling of the raw total course marks is normally performed so that when converted to grades (using UC Grade Scale) the outgoing GPA is in line with the target GPA for a course. Scaling up or down can occur.

The Grading Scale for the University:
https://www.canterbury.ac.nz/study/study-support-info/study-related-topics/grading-scale

Late submission of work

Lateness Penalties

For the Lab Test Plan and Assignment Report, a lateness penalty of 10% (in absolute terms) per day or part day late will be deducted from the original mark. For example, an assignment with a nominal mark of 83% submitted 0-24 hours late will receive a mark of 73%, and submitted 24-48 hours late will receive 63%.

Mahi ā-Ākonga | Workload (expected distribution of student hours, note 15 points = 150 hours):

Contact Hours

Lectures: 24 hours
Tutorials: 0 hours
Workshops: 0 hours
Laboratories: 0 hours

Independent study

Review of lectures: 48 hours
Test and exam preparation: 38 hours
Assignments: 40 hours


Total 150 hours

Indicative Fees

Domestic fee $1,344.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

Minimum enrolments

This course will not be offered if fewer than 5 people apply to enrol.

For further information see Electrical and Computer Engineering .

All ENEL667 Occurrences

  • ENEL667-26S2 (C) Semester Two 2026