Energy Conversion and Smart Machines

Unit code: NEE2006 | Study level: Undergraduate
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Footscray Park
NEF1005 - Applied and Quantitative Methods in Engineering; and
NEF1006 - Fundamentals of Electrical Systems
(Or equivalent to be determined by unit coordinator)
Overview
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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:

  1. Apply electromagnetic and electromechanical conversion principles to model and analyse the performance of energy-conversion devices and machine systems;
  2. Evaluate and interpret machine characteristics using analytical, computational and experimental methods;
  3. Design and test control strategies for smart machines incorporating automation, sensing, and power electronics to enhance safety, reliability, and energy efficiency;
  4. Collaborate to assess the environmental, operational, and economic implications of machine design decisions through simulation and performance benchmarking; and
  5. 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)

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):

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