DISTRICT ENERGY AND HEATING STARTER PACK (120 DAYS)
MONITORS HEATING NETWORKS, BOILER PLANTS, AND SUBSTATIONS TO BALANCE LOADS, OPTIMIZE THERMAL ENERGY USE, AND CUT CO₂ EMISSIONS.
Start with one dataset. Prove value. Scale only when it makes sense. Yes, that’s allowed.
problem
DISTRICT HEATING INEFFICIENCIES ARE OFTEN GUESSED, NOT MEASURED.
Common symptoms
HEAT LOSSES ARE ASSUMED WITHOUT VERIFICATION
No spatial visibility.
BILLING AND METERS DIFFER
Data cannot be reconciled easily.
SUBSTATION PERFORMANCE VARIES
Causes unclear.
DEMAND PLANNING RELIES ON OUTDATED SPREADSHEETS
Forecasting lacks evidence.
CITIES DON’T NEED DIGITAL TWINS FIRST. THEY NEED HEAT NETWORK INSIGHT. YES, REALLY.
solution
HOW WE APPROACH THIS
(simple and a bit refreshing)
We map the heat network, integrate consumption and delta-T data, and identify inefficient nodes.
We connect it using:
- FIWARE / NGSI-LD Smart Data Models.
- The DCaaS data layer (already part of FiWAREBox).
- Your existing systems and IT infrastructure.
No disruption.
No platform migration.
No “strategic masterplan alignment committees”.
No platform migration.
No “strategic masterplan alignment committees”.
Once the first dataset is flowing →
transparency, dashboards, and real decisions become possible.
Then we expand - only if it’s worth it.
What You Get (in 120 Days)
- Network topology model.
- Efficiency dashboards.
- Hotspot and anomaly detection.
- Targeted upgrade recommendations.
This is not a pilot.
This is your operational starting point.
Who This Is OPTIMAL For
Cities that have:
- Municipal district heating companies.
- Energy and sustainability offices.
- Public infrastructure management teams.
- Regional heat providers scaling gradually.
If that sounds like your city → we’re aligned already.
Want the architecture walkthrough?
We’ll show:
- How the data actually flows.
- How to start with one dataset.
- How to avoid “Smart City over-construction syndrome”.