Smart Building Energy Analytics — Measured in AED
Smart building energy analytics translate chiller, pump and AHU behaviour into kilowatt-hours and AED — not dashboards, not aggregated scores.
An energy dashboard that shows a monthly tower bill is not analytics. Analytics is the practice of attributing every excess kilowatt-hour to the asset and the failure mode that caused it: this delta-T drift, this oversized pump, this coil that needs a clean.
Done correctly, the output is not a graph. The output is a sentence: 'this chiller is wasting AED 18,200 per month, the cause is a 1.7°C delta-T drop that started 11 days ago, here is the work order.'
Why monthly bills hide the problem
A monthly DEWA bill aggregates everything: lighting, lifts, F&B tenants, HVAC, parking ventilation. By the time you see the total, the chiller that drifted three weeks ago is already buried in the noise of a 40-storey building.
Asset-level telemetry inverts the problem. The bill becomes a sum of attributable line items, each of which has a name, a cause, and a cost.
What good analytics actually measures
- Delta-T across primary and secondary chilled-water loops (pipe-clamp probes).
- Approach temperature on the condenser side — the cleanest indicator of coil fouling.
- RMS current per phase on every motor, with imbalance and drift detection.
- Derived kW and kW/TR — current × nominal voltage × representative power factor — used for trend, not utility billing.
- Cooling-tower basin level and drawdown rate — to catch over-blowdown and make-up valve issues.
- Cable hotspot temperature on each monitored panel (NTC).
How AED translation works
Each drift signal has a known thermodynamic cost. A 1°C delta-T deviation on a 1,000 TR chiller has a calculable kWh penalty per operating hour; at the prevailing DEWA tariff, that converts directly to AED. Novek does the conversion on the alert itself, so the asset owner sees the financial exposure before they see the chart.
This is the difference between an analytics report ('your COP has degraded') and an AED-priced finding ('this chiller is costing you AED 18,200 a month, here is the work order'). The first generates a discussion; the second generates a decision.
What the buyer should expect to see
A weekly digest with three to seven AED-priced findings, ranked by exposure. Each finding includes the asset ID, the drift signal, the suspected cause, the AED cost per month if untreated, and the recommended action.
Questions buyers actually ask.
- How is AED cost calculated from a drift signal?
- Each drift signal has a known thermodynamic kWh penalty, multiplied by the prevailing DEWA tariff for the asset's tariff band. Novek shows the calculation alongside the figure.
- Does it work without sub-metering?
- Yes. Current-transformer clamps on motor cabling produce sub-asset RMS current; kW is derived using the asset's nominal voltage and a representative power factor. This is suitable for trend and AED attribution but is not a utility-billing meter.
- Can findings be exported into a CMMS?
- Yes. Findings export via API, CSV or direct webhook into Maximo, eMaint, CAFM Explorer, MicroMain and other common UAE CMMS deployments.
- What is COP and why does it matter?
- Coefficient of Performance is the ratio of cooling output to electrical input. For a Dubai water-cooled chiller, typical COP is 5.5–6.5; a drop to 5.0 represents roughly 10% wasted energy.
- How does this differ from an energy audit?
- An audit is a one-time exercise. Continuous analytics is the ongoing version — the same calculations, run every 1–10 minutes against live telemetry, with alerts when drift exceeds threshold.
See what your buildings are actually doing — in AED, this quarter.
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