The AMOS (Asset Management & Optimisation System) project is an international collaboration between Enverse, Liverpool John Moores University (LJMU), IDB, and Seoul National University of Science and Technology (SEOULTECH). Supported by Innovate UK, the Korea Institute for Advancement of Technology (KIAT), and Korean Energy Technology Evaluation and Planning (KETEP), this initiative is part of a £6 million UK-Korea cross-country research and development programme. Over the next two years, AMOS will develop an AI-powered asset management platform to help industrial manufacturers optimise asset health, reduce energy costs, and decarbonise operations.

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Tackling Energy Market Challenges with AI

Energy market volatility and reform have accelerated the need for grid flexibility solutions in industrial manufacturing. Businesses must simultaneously manage energy costs and Scope 2 carbon emissions while integrating multiple low-carbon technologies (LCTs) such as solar, battery storage, and demand-side response solutions.

Currently, manufacturers face two key challenges:

1. The complexity of centrally managing LCT assets across different vendors.
2. The high cost of developing custom AI-driven asset control strategies, making it commercially unfeasible for businesses with an annual turnover below £50 million.

AMOS addresses these challenges by developing a centralised AI decision-making engine that allows manufacturers to:

1. Automate and optimise on-site energy assets.
2. Enhance energy flexibility by integrating real-time grid strategies.
3. Reduce carbon emissions through AI-driven asset scheduling.

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A UK-Korea Bilateral Collaboration

This joint research and development project brings together industrial and academic expertise from both the UK and South Korea, leveraging complementary strengths:

• UK partners provide expertise in energy asset management, enabling manufacturers to optimise energy consumption and grid interaction.
• South Korean partners bring knowledge of industrial asset management, helping to create AI-driven solutions tailored to manufacturing environments.
• Both countries contribute to the development of a centralised AI-powered decision-making platform that integrates insights from the energy and manufacturing sectors.

The project also benefits from the involvement of leading research institutions, including Liverpool John Moores University (LJMU) and Seoul National University of Science and Technology (SEOULTECH), which bring extensive experience in industrial AI solutions.

By combining academic research and commercial expertise, AMOS will bridge the gap between energy and manufacturing, creating a scalable AI-driven solution that benefits industries in both countries.

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Shaping the Future of Smart Manufacturing

Upon completion, AMOS will deliver a market-ready asset management platform, providing manufacturers with the tools to:
✔ Decarbonise operations by integrating AI-powered energy management.
✔ Achieve energy independence through better control of on-site renewable energy and storage.
✔ Increase efficiency and resilience by leveraging real-time optimisation strategies.

This project represents a significant step forward in industrial AI and energy optimisation, setting a foundation for smarter, more sustainable manufacturing across the UK and South Korea.

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Project Partners

The AMOS project is led by a four-organisation consortium, including:

• This collaboration highlights the power of international innovation, bringing together expertise from both academia and industry to tackle the pressing challenges of energy efficiency and decarbonisation in manufacturing.

For more updates on AMOS and its progress, stay connected!