ENGEE510-22A (HAM)

Sustainable Energy and Power Systems

15 Points

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Division of Health Engineering Computing & Science
School of Engineering

Staff

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Convenor(s)

Lecturer(s)

Administrator(s)

: mary.dalbeth@waikato.ac.nz
: natalie.shaw@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

: ds213@students.waikato.ac.nz

Student Representative(s)

Lab Technician(s)

: viking.zhou@waikato.ac.nz

Librarian(s)

: cheryl.ward@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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Paper Description

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This paper provides an in-depth understanding of modern power systems, their operation and control, and particularly the issues related to the integration of distributed sustainable/renewable generation into the network. The content focuses on technical aspects of traditional and renewable electrical power generation, power transmission and distribution, power network stability, management and control, electricity market operations and smart grid technologies, with particular emphasis on the integration of renewable generation onto the network at both transmission and distribution level and the challenges and opportunities associated with that. Students will receive a solid basis for their understanding of future power networks with distributed generation, storage and smart grid technology.

The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1-WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/

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Paper Structure

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The paper will be principally lecture and laboratory based, with two lectures per week, and one two-hour laboratory session. Computer modelling and simulation forms a part of the paper, and students will be expected to spend additional time on computer-based work.
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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • LO1:
    Apply advanced knowledge of electrical power systems to achieve successful electrical grid operations and control. Analyse the challenges and opportunities for distributed renewable generation in both large interconnected grid and microgrid settings. (WA2,WA6;WK4,WK5,WK6,WK7)
    Linked to the following assessments:
    Assignment 1: Renewable energy system components (1)
    Project: Computer modelling of complex power networks (3)
    Exam (4)
  • LO2:
    Evaluate feasibility of renewable energy applications and projects in the context of engineering requirements and economic electricity market integration. (WA4; WK8)
    Linked to the following assessments:
    Assignment 1: Renewable energy system components (1)
    Assignment 2: Environmental parameters and their impact on integration (2)
    Project: Computer modelling of complex power networks (3)
    Exam (4)
  • LO3:
    Plan and design a next-generation intelligent power network with distributed generation and storage as well as appropriate demand management technology. (WA2, WA3; WK4,WK5)
    Linked to the following assessments:
    Assignment 1: Renewable energy system components (1)
    Assignment 2: Environmental parameters and their impact on integration (2)
    Project: Computer modelling of complex power networks (3)
    Exam (4)
  • LO4:
    Apply modern computational tools in power system design and analysis. Show a comprehensive understanding of the principles, power, and limitations of computer modelling; incorporating distributed generation and storage in the design of complex power networks by engaging with the design of sustainable power systems. (WA5; WK2, WK6)
    Linked to the following assessments:
    Assignment 1: Renewable energy system components (1)
    Assignment 2: Environmental parameters and their impact on integration (2)
    Project: Computer modelling of complex power networks (3)
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Assessment

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Samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 67:33. There is no final exam. The final exam makes up 33% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 67:33 or 0:0, whichever is more favourable for the student. The final exam makes up either 33% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Assignment 1: Renewable energy system components
6 May 2022
12:00 AM
14
  • Online: Submit through Moodle
2. Assignment 2: Environmental parameters and their impact on integration
10 Jun 2022
12:00 AM
20
  • Online: Submit through Moodle
3. Project: Computer modelling of complex power networks
13 Jun 2022
12:00 AM
33
  • Online: Submit through Moodle
4. Exam
33
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Recommended Readings

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  1. Sorensen, B., Renewable Energy: Physics, Engineering, Environmental impacts, Economics and Planning, 5th Ed., Elsevier, 2017,
  2. El-Hawary, M.E, Principles of Electric Machines with Power Electronic Applications, 2nd Ed, IEEE Press, 2002 (Chp 1, 2, 5 &7)
  3. Suppes, G.J. & Storvick, T.S., Sustainable Power Technologies and Infrastructure, Elsevier-AP, 2005
  4. Breeze, P.A., Power Generation Technologies, Elsevier Science and Technology, 2005
  5. Kularatna, N. & Gunawardane, K, Energy Storage Devices for Renewable Energy Systems, Elsevier-AP, 2021 (Chp1, 2,5,7)
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Online Support

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Course material will be uploded to Moodle, and panopto recordings will be avaialble for lectures. Laboratory sheets will be posted on moodle as and when they are ready. [This course is brand new course and lecture material and lab shhets etc are currently under prepartion]
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Workload

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Students are expected to spend 2 hours on lectures and 2 hours of labs (and/or field visiits) as per time tabled events. They are expected to spend additinal 5 hours of referencing, assignment prepartion per week, and 40 hours of time for exam and tests etc.
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Linkages to Other Papers

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Prerequisite(s)

Prerequisite papers: ENGEE211 and ENGEE231 and ENGEE319

Corequisite(s)

Equivalent(s)

Restriction(s)

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