RESE321 (2024) - Renewable Energy Generation Engineering

Prescription

This course introduces a range of different energy generation systems, and especially those that utilise renewable resources: wind energy (pumping and power), geothermal, hydro (at different scales), solar photovoltaic, solar thermal, and bioenergy. For each technology, the theoretical underpinning is examined – for example, optical physics to harness solar radiation in concentrating solar systems – and the engineering approaches to identify and design efficiency improvements for such systems are established.

Course learning objectives

Students who pass this course should be able to:

  1. Describe advanced, integrated renewable energy generation solutions for given problems.
  2. Analyse the sustainability and efficiencies of the generation technology systems.
  3. Critically review energy generation technologies to identify efficiency gains that can be achieved.
  4. Design an efficiency improvement to energy generation.

Course content

We’ve designed this course for in-person study, and to get the most of out it we strongly recommend you attend lectures on campus. Most assessment items, as well as tutorials/seminars/labs/workshops will only be available in person. Any exceptions for in-person attendance for assessment will be looked at on a case-by-case basis in exceptional circumstances, e.g., through disability services or by approval by the course coordinator.
 
If you started your programme of study remotely and can only study remotely, please contact the School so we can help and confirm what courses are available.

Withdrawal from Course

Withdrawal dates and process:
https://www.wgtn.ac.nz/students/study/course-additions-withdrawals

Lecturers

Prof Alan Brent (Coordinator)

Teaching Format

Weekly lectures, tutorials, laboratory sessions, and individual assignments. Practical work will involve the analysis of different generation systems. Project work will entail the technical design and demonstration of efficiency improvements.

Dates (trimester, teaching & break dates)

  • Teaching: 26 February 2024 - 31 May 2024
  • Break: 01 April 2024 - 14 April 2024
  • Study period: 03 June 2024 - 06 June 2024
  • Exam period: 07 June 2024 - 22 June 2024

Class Times and Room Numbers

26 February 2024 - 31 March 2024

  • Wednesday 11:00 - 11:50 – 407, Alan MacDiarmid Building, Kelburn
  • Wednesday 12:00 - 12:50 – 407, Alan MacDiarmid Building, Kelburn
15 April 2024 - 02 June 2024

  • Wednesday 11:00 - 11:50 – 407, Alan MacDiarmid Building, Kelburn
  • Wednesday 12:00 - 12:50 – 407, Alan MacDiarmid Building, Kelburn

Other Classes

Additional resources, to support lectures, will be provided on Nuku. There are weekly tutorials with associated discussions at 12h00 on Thursdays in AM407.

Required

Compulsory reading material is provided via Nuku.

Mandatory Course Requirements

In addition to achieving an overall pass mark of at least 50%, students must:

  • Achieve a grade of at least 40% for the tests and assignments.

If you believe that exceptional circumstances may prevent you from meeting the mandatory course requirements, contact the Course Coordinator for advice as soon as possible.

Assessment

The assessments will involve laboratories and tutorials, two individual assignments and two online tests.

Assessment ItemDue Date or Test DateCLO(s)Percentage
Efficiency analysis assignment with a 1000-word report (20 hours total)TBCCLO: 1,225%
Laboratory/tutorial exercises with one-page reports (12 hours)TBCCLO: 310%
Design assignment with a 1000-word report (20 hours)TBCCLO: 3,425%
Two tests (2 hours each)TBCCLO: 1,2,340%

Penalties

Late submissions will be subject to a penalty of 10% per day for 4 days. No work will be accepted after this unless previously arranged with the Course Coordinator.

Extensions

Individual extensions will only be granted in exceptional personal circumstances, and requests should be made to the Course Coordinator before the assessment deadline whenever possible. Documentation (e.g. a medical certificate) may be requested.

Submission & Return

All work must be submitted through the Nuku submission system. Marks and comments will also be returned through the Nuku marking system.

Workload

Although the workload varies from week to week, students should expect to spend approximately 10 hours per week on the course, to give a total of 150 hours study time. A plausible and approximate breakdown for these hours would be: lectures (2 hours); tutorials (2 hours); reading, review and online discussions (3 hours); and modelling and written assignments (3 hours).

Teaching Plan

The teaching plan will be made available on commencement of the course via Nuku.

Communication of Additional Information

All online material for this course will be made available via Nuku, which will also be used to facilitate discussions every week.

Offering CRN: 34007

Points: 15
Prerequisites: EEEN 203, 204
Restrictions: RESE 211
Duration: 26 February 2024 - 23 June 2024
Starts: Trimester 1
Campus: Kelburn