Modern energy infrastructures must operate reliably for decades while supporting the growing complexity of renewable energy integration, electrification, and digitalization. At the same time, many energy infrastructure systems are aging and require improved methods for monitoring their condition, detecting faults, and planning maintenance and renewal.
The Energy Asset Intelligence Lab investigates how digital technologies and data-driven methods can support intelligent asset management in energy systems. The lab focuses on transforming infrastructure data into actionable knowledge that can support operational decision-making and long-term infrastructure planning.
In energy infrastructure research, these challenges typically revolve around the ability to monitor asset condition, detect and diagnose faults, estimate the remaining useful lifetime of infrastructure components, and understand how assets degrade over time. The lab therefore studies methods for condition monitoring, fault detection and diagnosis, predictive maintenance, remaining useful life estimation, asset degradation modelling, and risk-based maintenance planning. By integrating these approaches with data-driven analytics and artificial intelligence, the lab explores how infrastructure intelligence can be developed to support more proactive and reliable management of energy assets.
The Energy Asset Intelligence Lab provides an experimental digital twin environment where these methods can be developed, tested, and evaluated using operational data and digital models of energy infrastructure systems. This includes critical infrastructure such as electrical distribution grids, and district heating networks, as well as related infrastructure components such as power transformers, cables, pipes, and pumping stations.
Within this research environment, new analytical methods, predictive models, and decision-support tools can be investigated under realistic conditions. Through this work, the lab contributes to the development of intelligent asset management solutions that support the reliable operation of energy infrastructure systems while reducing maintenance costs, improving operational planning, and strengthening the resilience of future energy networks.