End User
Veolia
Description
The Operational Scheduling for DHN service generates optimal operational schedules for the district heating network by translating demand forecasts and real-time data into actionable control strategies. Using forecast-driven optimisation combined with rule-based and data-driven techniques, the service recommends supply temperature setpoints, load distribution plans, and operation timelines to maximise energy efficiency and minimise operational costs.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
DHN operators need to plan daily and intra-day network operation proactively to align heat production and distribution with expected demand, avoid unnecessary energy losses, and prevent capacity constraints. Without systematic optimisation-based scheduling, operators rely on experience and reactive adjustments, missing efficiency improvement opportunities that accumulate over time.
Key Performance Indicators
Energy savings compared to baseline operation strategies
Reduction of peak thermal loads
Alignment between predicted and actual system behaviour under recommended schedules
Historical simulation accuracy using past data
Data Provided
Recommended operational schedules: supply temperature setpoints, load distribution plans, operation timelines
Time-dependent control trajectories suitable for direct operator use or integration into control systems
Inputs: heating demand forecasts (Service 2), operational data (temperatures, flow rates, historical consumption)
TEF
TEF DHN