Excellent energy management using AI - XEMAI

Energy management using AI
Industrial energy management plays a crucial role in helping companies achieve their goals for energy efficiency and reduced carbon emissions.

This project aims to enhance digitisation within the manufacturing industry to improve energy efficiency. By implementing advanced digital technologies and processes, a robust foundation is created to optimise energy use and achieve sustainability.

Many manufacturing companies face the challenge of implementing digitisation effectively. The lack of digital integration limits their ability to analyse and optimise energy usage patterns. This results in lost opportunities for energy efficiency and reduced competitiveness, impacting both economic and environmental sustainability. The project focuses on introducing and integrating AI and machine learning techniques into manufacturing processes to enable in-depth data analysis and real-time monitoring.

By establishing a digital infrastructure, companies can efficiently collect data, providing insights into energy usage and potential for optimisation. AI can then be used to identify inefficiencies and provide recommendations to optimise energy use. Through this digitisation and AI analysis, companies can streamline their processes, reduce energy consumption, and lower operational costs, while contributing to environmental sustainability. By leveraging AI and advanced data analysis, the project will contribute to more efficient energy use and sustainable production in the manufacturing industry.

Project time: May 2024-January 2027

Project partners

Nordic Energy Audit AB
Volvo Construction Equipment AB
Volvo Group Real Estate AB

 

The Project is funded by the innovation and research program Advanced Digitalisation

Researchers in the project

Financier

A picture of metal laser.

Sustainable supply chains in Swedish industry

The project studies models and approaches that large companies are currently working with to promote an upstream sustainable supply chain, identify success factors and develop a new unique model for supplier sustainability assurance.

CARBONSTRUCT

International research shows that there is no available knowledge of where energy is used in Swedish industry. The project aims to cover this knowledge gap about where energy is in fact used, the so-called energy end-use.

Elias Andersson, researcher at LiU.

Key indicators can help industry save energy

By comparing different industrial processes, companies and official bodies can increase their knowledge about possible savings of energy. There is a huge potential for reductions in energy consumption and less impact on the climate.

Organisation