A digital twin is a working model of a system that mirrors real operating data. For energy teams, it can simplify decisions around HVAC schedules, compressed air pressure, boiler loads, and production-linked energy use.
Energy use cases
- Compare expected and actual consumption.
- Simulate set-point changes before implementation.
- Identify abnormal baseloads during non-production hours.
- Track specific energy consumption by product or line.
Data requirements
Useful twins need clean meter data, production data, operating schedules, and asset information. Without these, the model becomes a presentation layer rather than a decision tool.
The best digital twin projects begin with one question: what decision should this model improve?
Practical outcome
When tied to energy audits, digital twins can help verify savings and maintain improvements after recommendations are implemented.