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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.
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).Knowledge outcomesThis course provides highly specialized knowledge, some of which is at the forefront of knowledge, and a critical awareness of issues in the renewable energy field. This course builds on the knowledge base of students from previous undergraduate engineering study. It develops a deep theoretical knowledge in the area of renewable energy systems by applying systems theory to the practical design of renewable energy systems. This knowledge will be assessed through written, oral, self-assessment and critical review. Specific knowledge is also demonstrated in the skills and application assessment items. Upon completion of this course students will demonstrate the following knowledge outcomes:1. Able to demonstrate an advanced understanding of the fundamental principles, and application of these principles, of renewable energy system integration. 2. Able to describe behaviour of various renewable energy resources and energy storage systems.3. Understand the importance of working with environment, including Maori, when designing renewable energy systems. SkillsStudents in this course develop and apply new skills and techniques to existing or emerging problems, and achieve mastery of the field of study or practice to an advanced level. In detail, through practical experience (largely self-directed), the course will develop essential and advanced research and professional skills. Students will be able to demonstrate the above knowledge outcomes through the application of the following skills:4. Make informed judgments from the synthesis of data and information derived from diverse sources, primary and secondary, with a view to improve and or better understand renewable energy system theory and practice5. Identify, select, categorize, interpret and criticize background literature and other relevant information6. Obtain, organise, analyse, critically appraise and present original renewable energy system data7. Deal creatively with complex, challenging and often ill-defined design challenges8. Describe and defend a design idea and a detailed problem statement and derive a set of objectives for advanced non-trivial system design9. Apply research skills needed to participate in group-work effectively.10. Identify, apply and communicate a complex system modeling to solve the problem11. Critically appraise and justify solution alternatives to a renewable energy system design12. Synthesise and present arguments work and communicate effectively with subject experts:13. Demonstrate effective scientific communication and writing skills14. Choose, carry out and document a design project in various forms (specficication proposals, reports)15. Analyse and utilize feedback from advisers and peers to improve and revise own work16. Respond to questions on own work in a way that shows mastery of the content and other related knowledgePersonal attributesThe key personal attributes that will be developed include problem-solving qualities of an advanced engineering postgraduate, practical design skills, advanced modelling skills, ability to work effectively on an unexplored topic with others, but also individually, and written skills. Students will develop their ability to apply creative and critical thinking to the solving of design challenges. Students will also gain an appreciation for the unique challenges for New Zealand engineers in working on renewable energy projects with respect to the Treaty of Waitangi obligations and Maori’s relationship with the land. This means, students in this course will independently apply highly specialized knowledge and skills within a discipline or professional practice.
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.
ENEL663, ENEL664
Students must attend one activity from each section.
Andrew Lapthorn
Jeremy Watson
Domestic fee $1,268.00
International Postgraduate fees
* 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.
This course will not be offered if fewer than 5 people apply to enrol.
For further information see Electrical and Computer Engineering .