End User
Veolia
Description
Digital Twin for DHCN Optimization is an AI service that combines artificial intelligence with Digital Twin technology to optimize district heating/cooling networks. It creates virtual simulations of the network to analyze and improve production scenarios, helping managers make better operational decisions.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Optimization & Decision Support
Automation & Control Systems
Data Integration & Interoperability
User Interface & Visualization
Business Need
To reduce costs efficience and improve efficiency in district heating systems.
Key Performance Indicators
Model accuracy (% similarity between real and simulated behavior)
Processing time for simulations (seconds/minutes)
Data Provided
Operational data from DHCN infrastructure including temperature, flow rates, pressure, energy consumption, weather data.
Real-time data streams through Hubgrade, SQL databases storing historical data.
Over 700 variables collected every 15 minutes.
Variables map
Data collected at 15-minute intervals at both district level (boiler rooms) and building level (substations)
TEF
TEF DHN