Our dual Level 7 dual-module programme (10 ECTS) integrates the critical disciplines of high-voltage power distribution, resilient industrial networking, and strategic energy management to create a holistic skillset for the modern manufacturing environment. By converging physical infrastructure with digital connectivity and sustainability standards, the programme equips technicians to design, secure, and optimize complex cyber-physical systems. These modules are designed to build upon our existing practical Level 6 foundation in areas like pneumatics, electrical systems, robotics, sensors, and PLCs, and to guide learners towards advanced industrial applications.
Pathway Integration and Progression
These modules provide a natural progression from Level 6's hands-on foundations in automation and control, bridging towards Level 8 engineering or applied technology programmes. They may support roles such as:
- Energy Analyst
- Maintenance Engineer
- Power Systems Technician
- Industrial Automation Specialist
Module 1: Advanced Energy Management and Efficiency
One hour tutorial per week virtually and four full Saturday classes (laboratory and assessment)
NFQ Level: 7 | Credits: 5 ECTS Prerequisites: Level 6 modules in electrical systems, sensors, and PLCs
Module Aim: To equip learners with the knowledge and practical skills to assess, manage, and optimise energy usage in industrial and manufacturing environments.
Key Topics:
- Principles of energy systems (electrical, pneumatic, thermal)
- Motor control and drive systems (AC/DC motors, VFDs, soft starters
- Energy auditing techniques and tools
- Power quality and efficiency metrics
- Smart metering and energy monitoring technologies
- ISO 50001 Energy Management Systems
- Energy recovery systems (e.g., regenerative braking, waste heat capture)
- Case studies on energy optimisation in manufacturing
Learning Outcomes:
- Select different Induction motors based on faster ROI.
- Conduct an energy audit and recommend efficiency improvements.
- Evaluate and compare energy usage across systems.
- Implement monitoring strategies for real-time energy management.
- Interpret energy data to guide sustainable decision-making.