The role of digital twins in asset management

23 February 2025|Asset Management

By Rachel Scott and Jarrod Chesher

As asset management evolves in the digital age, the concept of digital twins has emerged as a transformative tool. Digital twins create a virtual representation of physical assets, allowing organisations to monitor, analyse, and optimise their performance in real time. This blog explores the role of digital twins in asset management, their benefits, and how to implement them effectively.

What is a digital twin?

A digital twin is a virtual replica of a physical asset, process, or system. It uses real-time data from sensors and other sources to mirror the asset’s condition, behaviour, and performance. Digital twins enable organisations to simulate scenarios, predict outcomes, and make informed decisions about asset management and maintenance.

Benefits of digital twins in asset management

1. Enhanced predictive maintenance

Digital twins provide real-time insights into the health of assets, enabling predictive maintenance. By continuously monitoring asset conditions, organisations can predict failures before they occur, reducing downtime and maintenance costs.

2. Improved asset performance and optimisation

With a digital twin, organisations can simulate different operating conditions and scenarios to optimise asset performance. This helps in identifying the best operational strategies and improving overall efficiency.

3. Extended asset lifespan

Continuous monitoring and timely maintenance based on digital twin data can extend the lifespan of assets. This reduces the need for frequent replacements and lowers capital expenditure.

4. Enhanced decision-making

Digital twins provide a comprehensive view of asset performance and health, enabling data-driven decision-making. Managers can use these insights to plan maintenance schedules, allocate resources, and implement strategic improvements.

5. Cost savings

By optimising maintenance activities and extending asset lifespan, digital twins contribute to significant cost savings. They also help in avoiding unplanned downtime and expensive emergency repairs.

Implementing digital twins in asset management

1. Identify critical assets

Start by identifying the critical assets that would benefit most from digital twin technology. Prioritise assets with high failure rates, significant maintenance costs, or those crucial to operations.

2. Deploy sensors and data collection systems

Install sensors and other data collection devices on selected assets. These sensors should monitor key parameters such as temperature, vibration, pressure, and usage.

3. Create the digital twin model

Develop a digital twin model using the data collected from sensors. This model should accurately replicate the physical asset’s behaviour and performance. Use advanced analytics and machine learning algorithms to enhance the model’s predictive capabilities.

4. Integrate with asset management systems

Ensure that the digital twin integrates seamlessly with existing asset management systems. This allows for centralised data collection, analysis, and decision-making.

5. Monitor and analyse data

Continuously monitor the data from the digital twin and analyse it to gain insights into asset health and performance. Use these insights to optimise maintenance schedules and improve operational strategies.

6. Train personnel

Train maintenance and operational personnel on the use of digital twin technology. Ensure they understand how to interpret data, simulate scenarios, and make informed decisions based on the digital twin insights.

7. Regular updates and maintenance

Keep the digital twin model updated with the latest data and technological advancements. Regularly review and refine the model to ensure its accuracy and effectiveness.

Case Study: Digital twins at Sydney Trains

Sydney Trains
- Sydney Trains, the operator of the metropolitan rail network in Sydney, Australia, implemented digital twins to enhance asset management. By creating digital replicas of their critical infrastructure, including tracks and rolling stock, Sydney Trains could monitor real-time conditions and predict maintenance needs. This proactive approach reduced unexpected delays by 15% and maintenance costs by 10%, significantly improving service reliability and efficiency.

Digital twins are revolutionising asset management by providing a virtual window into the real-time performance and condition of assets. By enabling predictive maintenance, optimising performance, and enhancing decision-making, digital twins offer numerous benefits that drive operational efficiency and cost savings. Implementing digital twins requires careful planning, investment in technology, and training, but the rewards are substantial. Embrace digital twin technology to transform your asset management strategy and stay ahead in the competitive landscape.