Renewable Electricity System Design

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).
  
  Knowledge outcomes
  
  This 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:
  
  K1. Able to demonstrate an advanced understanding of the fundamental principles, and application of these principles, of renewable energy system integration.
  
  K2. Able to describe behaviour of various renewable energy resources and energy storage systems.
  
  K3. Understand the importance of working with environment, including Maori, when designing renewable energy systems.
  
  Skills
  
  Students 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:
  
  S1 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 practice
  
  
• Identify, select, categorize, interpret and criticize background literature and other relevant information
  
• Obtain, organise, analyse, critically appraise and present original renewable energy system data
  
  S2 Deal creatively with complex, challenging and often ill-defined design challenges
  
  
• Describe and defend a design idea and a detailed problem statement and derive a set of objectives for advanced non-trivial system design
  
• Apply research skills needed to participate in group-work effectively.
  
• Identify, apply and communicate a complex system modeling to solve the problem
  
• Critically appraise and justify solution alternatives to a renewable energy system design
  
  S3 Synthesise and present arguments work and communicate effectively with subject experts:
  
  
• Demonstrate effective scientific communication and writing skills
  
• Choose, carry out and document a design project in various forms (specficication proposals, reports)
  
• Analyse and utilize feedback from advisers and peers to improve and revise own work
  
• Respond to questions on own work in a way that shows mastery of the content and other related knowledge
  
  Personal attributes
  
  The 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.

Restrictions

For further information see Electrical and Computer Engineering .