ELEC ENG 2102 - Electric Energy Conversion
North Terrace Campus - Semester 1 - 2024
General Course Information
Course Code ELEC ENG 2102 Course Electric Energy Conversion Coordinating Unit Electrical and Electronic Engineering Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 7 hours per week Available for Study Abroad and Exchange N Prerequisites ELEC ENG 1100 or ELEC ENG 1101 Incompatible ELEC ENG 3021 Course Description This course provides a general introduction to power engineering. It focuses mainly on the principles, modelling and analysis of DC and AC electrical machines and transformers. The principles of electric drives and power systems are also discussed.
Course Coordinator: Associate Professor Wen SoongCourse Coordinator and Lecturer: Assoc.Prof Wen Soong
Office: Ingkarni Wardli 3.53
Phone: 8313 4117
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
1 Analyse single and three-phase AC power circuits using phasors, to determine real and reactive power flow and demonstrate power-factor correction. 2 Analyse the performance of transformers and explain concepts of the back-EMF equation, saturation and iron losses. 3 Analyse the performance of a DC motor or generator using its equivalent circuit. Explain its construction and operating principles, including back-EMF and efficiency. 4 Describe the basic principles of DC and AC electric machines and variable-speed drives. 5 Analyse the performance of an induction machine using its equivalent circuit. Explain the operating principles, construction and the concept of slip. 6 Explain the operating principles, construction and performance of synchronous machines. 7 Describe the major components of an electric power system. 8 Develop practical skills through performing tests on AC circuits, transformers and electrical machines in the laboratory to determine their parameters and performance. Analyse and discuss the experimental results in reports.
The above course learning outcomes are aligned with the Engineers Australia Entry to Practice Competency Standard for the Professional Engineer. The course develops the following EA Elements of Competency to levels of introductory (A), intermediate (B), advanced (C):
1.1 1.2 1.3 1.4 1.5 1.6 2.1 2.2 2.3 2.4 3.1 3.2 3.3 3.4 3.5 3.6 B C C A B — B C — — — B — — — —
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
Learning & Teaching Activities
Learning & Teaching ModesThe Electric Energy Conversion course uses the following learning and teaching activities:
1. Lectures: these are pre-recorded and students will need to watch on average about 3 hrs of lectures per week.
2. Online Quizzes: these are MyUni quizzes which are done weekly and require about 2 hrs per week.
3. Workshops: there are eight 2-hr workshops during the semester with preparation submitted before each one. The preparation is expected to take on average about 2 hrs per workshop.
4. Test: there is a 1-hr open-book test held during week 6. At least 6 hrs of preparation is recommended.
5. Experiments: there are three 3-hr experiments during the semester. A time allowance of 1.5 hrs of preparation and 12 hrs for writing each of the reports is recommended.
6. Exam: this is a 2 hr open-book exam. At least 16 hrs of preparation is recommended.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.This course has the standard University expectation of about 156 hours over the semester. Please see the above Learning and Teaching Modes for more information on how this is broken down to the various course activities.
Learning Activities SummaryPlease see the above Learning and Teaching Modes for more information on the course learning activities.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Workshop Preparation 10 Individual Formative Weeks 2-5, 8, 10-12 1. 2. 3. 4. 5. 6. 7. Workshop Participation 5 Individual Formative Weeks 2-5, 8, 10-12 1. 2. 3. 4. 5. 6. 7. Test** 10 Individual Formative Week 6 1. 2. On-Line quizzes 10 Individual Formative Weeks 1-4, 7-12 1. 2. 3. 4. 5. 6. 7. Practicals 25 Individual Formative Weeks 6 to SwotVac Min 50% 1. 2. 5. 8. Examination 40 Individual Summative Exam Period Min 40% 1. 2. 3. 4. 5. 6. 7. 8. Total 100
** If your exam mark is higher than your quiz mark, the quiz mark will be replaced by the exam mark.
This assessment breakdown is registered as an exemption to the University's Assessment for Coursework Programs Policy. The exemption is related to the Procedures clause(s): 1. b. iii.
This course has two hurdle requirements. Meeting the specified hurdle criteria is a requirement for passing the course.
Assessment Related RequirementsA hurdle requirement is defined by the University's Assessment for Coursework Programs policy as "...an assessment task mandating a minimum level of performance as a condition of passing the course.
The experimental component is a hurdle requirement. It is necessary to achieve at least 50% for the weighted total of the three reports. If this is not achieved, the total course mark will be limited to a maximum of 49.
The examination component is also a hurdle requirement. It is necessary to achieve at least 40% for the exam. If this is not achieved, the total course mark will also be limited to a maximum of 49.
If a student fails to meet a hurdle requirement, and is assigned a total mark for the course in the range of 45-49, then the student is entitled to an offer of additional assessment of some type. The type of assessment is to be decided by the School Assessment Review Committee when determining final results. The student’s final total mark will be entered at no more than 49% and the offer of an additional assessment will be specified e.g. US01. Once the additional assessment has been completed, this mark will be included in the calculation of the total mark for the course and the better of the two results will apply. Note however that the maximum final result for acourse in which a student has sat an additional assessment will be a “50 Pass”.
If a student is unable to meet a hurdle requirement related to an assessment piece (may be throughout semester or at semester’s end) due to medical or compassionate circumstances beyond their control, then the student is entitled to an offer of replacement
assessment of some type. An interim result of RP will be entered for the student, and the student will be notified of the offer of a replacement assessment. Once the replacement assessment has been completed, the result of that assessment will be included in the calculation of the total mark for the course.
SubmissionThere will be a late penalty of 10% of the maximum mark per day (or part of) for the experimental reports. There will be a penalty of 10% of the maximum mark for not attending your scheduled experiments without prior approval or acceptable reason.
All formative assessments will be targeted to have a two-week turn-around time for provision of feedback to students.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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