End User
Veolia
Description
The Digital Twin for DHN Optimisation provides a virtual representation of the Torrelago district heating network, enabling advanced monitoring, simulation, and scenario-based optimisation of thermal energy distribution. By integrating real-time and historical data with demand forecasting outputs, the digital twin allows evaluation of alternative operational strategies (supply temperature changes, load distribution, control setpoints) without impacting real system operation.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
DHN operators need to evaluate the impact of different operational strategies — supply temperature adjustments, load balancing changes, control setpoint modifications — before implementing them on the live system. The digital twin provides a safe simulation environment that quantifies the expected efficiency improvements of different strategies, reducing operational risk and improving confidence in decision-making.
Key Performance Indicators
Accuracy in reproducing observed consumption patterns vs. real historical data
Consistency of simulated responses under different operational conditions
Reliability of scenario analysis results for decision support
Usefulness for identifying optimisation opportunities
Data Provided
Simulation results for different operational scenarios (demand changes, weather, strategy adjustments)
Performance indicators under alternative strategies: energy efficiency, system losses, operational performance
Optimisation recommendations (supply temperature, load distribution, setpoints)
Time-series simulation profiles for comparison with real data
TEF
TEF DHN