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A digital twin is an up-to-date, data-based representation of a real building and its operational condition. It connects 3D geometry, such as a BIM model, with condition, sensor and operational data in order to measurably improve planning, refurbishment and building operation.
Why is a digital twin important?
- Transparent decisions: A consistent data basis for costs, schedules, energy and maintenance means fewer assumptions and more facts.
- Operational efficiency: Deviations can be detected early, maintenance can be prioritised and downtime can be reduced.
- Effective refurbishment: The combination of geometry, thermography and consumption data clearly shows potential and risks, such as thermal bridges.
- Evidence and compliance: Complete documentation, including as-built information and inspection reports, supports funding applications and operator obligations.
What data does a digital twin use?
- BIM data
- As-built data / asset data
- Sensor data
- Energy consumption
- Indoor climate
- Maintenance data
- Building services
- IoT systems
Typical applications in building operation
- Energy monitoring
- ESG reporting
- Maintenance
- Predictive maintenance
- Space management
- Operator obligations
Common mistakes and misconceptions
- “3D model = digital twin”: A pure 3D model without a connection to current data is not a twin. The decisive factor is the link to real conditions and processes.
- Data silos: Separate tools without interfaces limit the impact. Open standards such as IFC, BCF and APIs should be planned from the start.
- Overmodelling: An excessively high LOD/LOI without a use case makes maintenance more expensive; the level of detail should match the objective.
- Missing quality assurance: Without tolerances, checkpoints (RMS) and a change log, trust and auditability decline.
- One-off project instead of process: Without a defined update procedure, the digital twin quickly becomes outdated.
Digital twin vs. BIM
- BIM: A method/model for planning, construction and operation with a semantic structure.
- Digital twin: An operation-focused, continuously updated representation that connects BIM geometry with live/as-is data and supports decisions throughout the building lifecycle.
Why is a BIM model not yet a digital twin?
- BIM describes the building.
- The digital twin describes the current condition of the building.
FAQ
How does a digital twin differ from a BIM model?
The twin connects ongoing as-is data, such as sensor and operational data, with the building model. BIM provides the structured geometry and information as the foundation.
Which data sources are central?
Point clouds/existing plans, BIM/IFC, CAFM master data, energy and meter data, IoT sensors, and inspection and maintenance logs are central sources of building data.
How do I keep the digital twin up to date
Through defined change processes, including versioning and approvals, automated data imports via APIs, and regular verifications during operation.