A digital twin for a built asset is a digital representation connected to real-world information about that asset. The practical value is not the visual model by itself. The value comes from using trusted information to understand condition, performance, risk, maintenance, space, energy, cost, or operational decisions.
A digital twin may include geometry, asset data, sensor data, maintenance records, documents, inspections, work orders, schedules, performance dashboards, and analytical models. The exact content depends on the decisions the owner or operator wants to support.
Not every BIM model becomes a digital twin. A design model may be useful during design and construction but still lack the verified asset data, operational links, update process, and governance needed for long-term use.
A practical digital twin starts with use cases. Examples include finding assets, planning maintenance, monitoring energy, understanding space use, tracking defects, supporting emergency response, testing operational scenarios, or preparing capital renewal plans.
Data governance matters. If nobody owns the data, updates it, checks it, or retires obsolete information, the twin becomes a polished but unreliable picture. The team should define data sources, update frequency, quality checks, ownership, access, and retention.
Digital twin planning should connect to asset information requirements and handover strategy. The information needed for operation should be identified during project delivery, not reconstructed after the building is complete.
Related: Asset Information and Handover Data, Information Governance, BIM Model Uses and Use Cases.