Research on applying Industry 4.0 technologies and business models to lift energy productivity in business. Translate energy management automation and data exchange in industry into practical and achievable transition models and demonstrations.
Develop, document and disseminate best practice examples, case studies and guidelines. Training resources and evaluation of effectiveness of resources and barriers to roll-out. Also, demonstrating next generation metering monitoring and reporting, including IoT and using AI, and smart reporting which takes in multiple data streams and learns how to optimise systems and implement optimal changes.
What’s the industry problem?
Industry 4.0 technologies like IoT, artificial intelligence and cloud applications offer potential for major energy productivity benefits for business. There is much research being undertaken to improve application of these technologies but this research has not focused on capturing energy productivity opportunities.
Businesses lack adequate quality data of current energy use and there is a lack of affordable, non-invasive, reliable, digital metering for electricity and fluids.
Energy productivity to be seen as an important element by Industry 4.0 advocates and potential adopters, and incorporated into government programs. Potential to improve energy efficiency in the manufacturing sector by >17.5% over 10 years through improved measurement and analysis, IoT, and AI (CESMII, US 2019).
By focusing digitalisation on energy, this Theme aims to unlock at least 20% of the cost effective energy savings potential and non-energy benefits, worth some $250M/year by 2030.