AI

Digital Twins in Property and Infrastructure: What They Really Are

By David Radley, Commercial and Finance Director

Introduction

The term “digital twin” is frequently used in the built environment, often as a catch-all for BIM models, 3D scans, or dashboards. However, a true digital twin is more than just a static representation; it is a dynamic, data-driven system that mirrors a physical asset in real time.

This article aims to clarify what digital twins truly are, how they differ from other digital models and why they are significant for infrastructure owners, asset managers and investors.


Defining a True Digital Twin

A digital twin is not merely a 3D model; it is a living, evolving digital replica of a physical asset, system, or environment. What distinguishes it as a twin is the continuous exchange of data between the physical and digital worlds. This entails:

  • Real-time or near real-time data flows from sensors, IoT devices, or operational systems.
  • The digital model updates dynamically to reflect the asset’s current state.
  • Simulations and predictions can be run to anticipate performance, wear, failure, or behaviour under stress.

In infrastructure, this could involve monitoring load changes on a bridge, detecting cracks in a retaining wall, or simulating water flow through a culvert.


How they are used in the Built Environment

Structural Health Monitoring: Digital twins assist in identifying risks in bridges, structures, or tunnels by merging real-time sensor input with predictive models.

Optimised Maintenance: Asset managers can model future deterioration, plan interventions and extend lifecycle value.

ESG Reporting: Energy use, emissions and water consumption can be monitored and reported with higher accuracy.

Scenario Planning: Stakeholders can test decisions, such as “what if we close this route?” or “how would this component respond during prolonged heavy rainfall or localised flooding?”

In the UK, the Centre for Digital Built Britain (CDBB) has led the National Digital Twin Programme (NDTP), promoting interoperable, connected digital twins across sectors to improve decisions through better data sharing and system integration.


Strategic Insights for Infrastructure Leaders

Not all digital twins are equal: It’s essential to demand clarity on what is being offered; is it a static visualisation or a real-time model?

Start simple, scale wisely: Beginning with one bridge, one HVAC system, or one building can be a starting point; value grows through integration.

Interoperability is key: Prioritising open standards is crucial to future-proof investments and enable cross-asset insights.

The Royal Institution of Chartered Surveyors (RICS) emphasises that digital twins are expected to develop as a critical tool in all phases of the asset life cycle, including design, construction and handover stages. (https://www.rics.org/news-insights/research-and-insights/digital-twins-from-design-to-handover-of-constructed-assets?utm_source=chatgpt.com)


Conclusion

Digital twins are not just a trend; they are a strategic tool for managing complex infrastructure assets. When grounded in real-time data and applied with purpose, they reduce cost, improve performance and create long-term value.

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