Data center energy management
Data center energy management that finds the cooling waste.
FrostLogic Explore reads the power and cooling telemetry your data center already produces and returns one ranked queue: where the energy goes, what it costs, and what to fix first.
Book a time directly- Read-only
- No new hardware to start
- EU-hosted
The problem
The racks are measured to the watt. The building around them isn't.
IT load is tracked per feed and per PDU. Then the cooling plant that consumes a large share of the site runs on a BMS nobody analyses, and PUE gets reported as a monthly average that says nothing about which unit moved it.
Data center energy management should mean knowing, continuously, where every kilowatt beyond the IT load goes. Most tools stop at charts: a DCIM view here, a BMS trend there, a PUE figure for the board. FrostLogic Explore reads the power and cooling telemetry you already collect, grounds every signal in the physics of the site, and returns one ranked queue of energy waste, priced.
Nothing new gets installed on the floor. Explore connects read-only over the protocols your BMS and meters already speak, and the first findings land in the first week.
Running a broader industrial estate instead? See industrial energy management. Offices and commercial portfolios live under energy management for commercial buildings, and the connection routes are covered under how Explore connects.
Across the site
Your data center, at a glance.
What it does
From telemetry to a ranked queue.
Cooling-chain anomalies, caught early
Six detection methods watch the mechanical plant around the clock. Two CRAC units fighting each other, a chilled-water valve hunting, a free-cooling window missed at 4am: each finding surfaces ranked by what it costs.
PUE, decomposed continuously
A monthly PUE average hides more than it shows. Explore breaks the overhead down by subsystem and by hour, so when the number moves you know which plant moved it and what that costs.
Forecasts with confidence bounds
Load and cooling demand forecast forward, checked against the physics, with a stated confidence range. Plan capacity and energy purchasing on numbers that admit their own uncertainty.
What-if, off the live floor
Setpoint and staging changes get simulated against the site's model first. Test the higher supply temperature on the model, not on the production floor.
The everyday data center energy waste, found in the power and cooling data you already collect and ranked by what it costs.
The difference
How data centers track energy today vs. one ranked queue.
| How data centers track energy today | FrostLogic Explore | |
|---|---|---|
| Coverage | A DCIM for the racks, a BMS for the plant, a portal per meter | Every meter, BMS point and sensor in one model |
| PUE | A monthly average | Decomposed by subsystem and hour |
| Detection | Threshold alarms by the hundred | Continuous, six methods, cross-checked |
| Prioritisation | The loudest alarm | The highest-value fix first |
| Changes | Tried on the live floor | Simulated on the model first |
| Hardware | A submetering project first | Reads what's already installed |
At a glance
Built to read the data center, not rebuild it.
No rip-and-replace, and no new field hardware on the floor in the typical site. Explore connects read-only over the protocols your BMS and meters already speak, processes data in the EU, and returns its first findings within the first week. Adding a site is a connection, not a project.
How it works
Read the site, reason, rank the fixes.
01 · Read
Every system on the site
Explore connects to your BMS, power meters and sensors over BACnet, Modbus, OPC UA, oBIX or vendor APIs. Read-only. Nothing new on the floor in the common case.
02 · Reason
Grounded in the site's physics
The FrostDynamics engine grounds each signal in the site's physics, then weighs findings against each other. It cites the data it used and invents nothing.
03 · Rank
One queue for the site
One queue for the site, or the whole estate: what to fix, where, and the cost of waiting.
Before you ask
Data center energy management, the questions we get.
The practice of tracking and reducing the energy a data center uses beyond its IT load: cooling, power distribution, lighting, losses. The measurement half is mostly solved. The hard half is knowing which of a thousand signals deserves attention first, and that ranking is what Explore adds.
No. A DCIM manages assets, racks and capacity, and if you need one, buy one. Explore reads the energy and cooling side that a DCIM mostly charts: it grounds the telemetry in the site's physics and ranks the waste by cost. The two run side by side without overlap.
No. Explore connects read-only and never writes to your systems. Recommendations arrive with the evidence behind them, your team makes the change under your own change control, and what-if simulation runs on the model, never on live equipment.
The BMS, power meters and submeters, the cooling plant, and environmental sensors, over BACnet, Modbus, OPC UA, MQTT, M-Bus or oBIX. Where the data sits on a local machine, the FrostLogic Edge Agent reads it in place and pushes it read-only to Explore.
Yes. The EU Energy Efficiency Directive asks larger data centres to report their energy performance, and national rules are adding their own thresholds. Explore gathers the evidence continuously from live data, so reporting season stops being an archaeology project.
In the EU. Managed SaaS runs in Hetzner's ISO 27001 data centres (yes, we run in one too), GDPR-native, or you self-host in your own cluster. Explore processes facility and sensor data only, no PII.
What's your building not telling you?
Tell us what you're trying to figure out: energy drift, a BMS you don't trust, compliance you're chasing. We listen first, then tell you straight whether Explore helps. 30 or 60 minutes, your pick. No commitment either way.