Energy Conversion and Smart Machines
Credit points
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Prerequisites
NEF1006 - Fundamentals of Electrical Systems
(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)
Overview
In this unit, you will explore how electrical energy is transformed into mechanical motion and back again to power the systems that drive modern industry and infrastructure. You will analyse and test various machines, from electric vehicles and renewable-energy turbines to industrial motors and transformers, interpreting data to assess performance, efficiency, and reliability. Laboratory experiments, simulation, and design activities will connect theory with practice, highlighting how smart control, automation, and monitoring can optimise machine behaviour while improving safety and sustainability.
By the end of this unit, you will be able to model, evaluate, and innovate within energy-conversion systems, demonstrating sound technical understanding and commitment to sustainable and safe engineering outcomes.
Learning Outcomes
On successful completion of this unit, students will be able to:
- Apply electromagnetic and electromechanical conversion principles to model and analyse the performance of energy-conversion devices and machine systems;
- Evaluate and interpret machine characteristics using analytical, computational and experimental methods;
- Design and test control strategies for smart machines incorporating automation, sensing, and power electronics to enhance safety, reliability, and energy efficiency;
- Collaborate to assess the environmental, operational, and economic implications of machine design decisions through simulation and performance benchmarking; and
- Integrate ethical, sustainable, and professional standards in developing energy-conversion solutions that contribute to cleaner and smarter industrial systems.
Assessment
For Melbourne campuses
Assessment type: Laboratory Work | Grade: 15%
In-lab data-collection and performance analysis (Individual) (30 mins)
Assessment type: Report | Grade: 35%
Machine validation through experimental studies (Group) (2500 words)
Assessment type: Test | Grade: 50%
In-class invigilated problem-solving and evaluation activity (Individual) (120 mins)
Laboratory Work: This secure assessment ensures accountability by requiring students to perform hands on data collection and systems analysis tasks under supervision. Real-time observation and process-focused questioning verify understanding and application of analytical skills.
Report: Report documenting design decisions, data collection, and interpretation. Explicit evaluation of individual contributions further supports the assessment and assurance of each student’s achievement of learning outcomes.
Test: This secure invigilated in class assessment has an unpredictable problem-solving scenario format that tests understanding, requires explanation of reasoning and process, and involves applying knowledge to new contexts.
Required reading
Required readings will be made available on VU Collaborate.
As part of a course
This unit is studied as part of the following course(s):