Abstract
There is a significant need, particularly in energy-intensive industries, to reduce energy consumption not only to lower operational costs but also to mitigate environmental impacts, such as CO2 emissions. As industries shift towards more energy-efficient manufacturing processes, the development of relevant knowledge and skills is becoming increasingly vital. Educational demonstrators, such as learning factories and mobile training units, have proven to be effective tools for developing practice-oriented skills. However, despite their potential, learning factories for energy management education often face challenges related to accessibility and high costs. Therefor this research closes the gap with an educational demonstrator using a 3D printer for energy monitoring representing an industrial process on a small-scale level. The system was developed using Axiomatic Design approach to ensure technical and didactic functionality. The demonstrator integrates microservices-oriented architecture technologies for real-time data collection, storage, and visualization, to analyze the energy consumption of all the individual components. An initial testing validated the proof of concept, with future research proposed to focus on energy consumption prediction, optimization, and CO2 footprint calculation. The study shows the potential of the demonstrator in promoting energy management in education and sustainable transformation in manufacturing.