Use Cases

Common optimisation opportunity

A 280-room hotel with rooftop solar sees no change in energy bills despite a recent install. Enerzyz detects three panels in the eastern array operating 34% below baseline output — consistent with soiling or partial shading — which the hotel's existing BMS gave no visibility into.

Typical detection pattern

From inverter system data plus an image feed, Enerzyz pinpoints the exact affected panels. Without an image feed it isolates the affected string; with client historical labelled data it also matches known issue patterns.

Common optimisation opportunity

A 450-room hotel's primary chiller is drawing 18% more power than baseline to hold the same supply temperature — consistent with refrigerant loss or condenser fouling — with no BMS fault code triggered. Enerzyz flags it ~6 weeks before the unit would fail under peak summer load.

Typical detection pattern

Continuous power-vs-supply-temperature modelling surfaces abnormal draw well before any BMS fault code appears.

Common optimisation opportunity

A Tier 3 data centre's PUE drifts from 1.45 to 1.61 over 90 days with no change in IT load. Enerzyz identifies two CRAC units operating outside their optimal range, with supply-air temperatures 2.1°C above setpoint — indicating filter blockage or coil fouling.

Typical detection pattern

Enerzyz tracks PUE against IT load and CRAC supply-air vs setpoint to catch drift from filter/coil fouling. Demonstrable once a data centre is onboarded.

Common optimisation opportunity

A data centre's UPS shows a recurring micro-spike in draw every 4 hours — invisible to standard monitoring but caught by Enerzyz's pattern analysis. It correlates with a scheduled backup process drawing more power than its allocated circuit allowance.

Typical detection pattern

Pattern analysis surfaces recurring micro-spikes invisible to standard monitoring and ties them to the offending process and circuit. Demonstrable once a data centre is onboarded.

Common optimisation opportunity

A 300-bed private hospital runs positive-pressure ventilation in its operating theatres 24/7, including overnight when theatres are unused. Enerzyz detects 6 of 8 theatres running full ventilation outside scheduled hours — a stale BMS configuration never updated after the theatre schedule changed.

Typical detection pattern

Enerzyz compares actual theatre HVAC run-time against the real theatre schedule to catch stale BMS configurations, optimising energy while holding regulatory thresholds.

Common optimisation opportunity

A 35-floor office tower runs full HVAC on 12 floors after 7pm on weekdays and across weekends — despite tenancy agreements specifying after-hours HVAC as a billable request. Enerzyz maps the pattern against the tenancy schedule.

Typical detection pattern

Enerzyz maps after-hours HVAC run-time against the tenancy schedule to expose unbilled, unscheduled usage.

Common optimisation opportunity

A large cold-storage warehouse's compressed-air compressor runs at a 15% higher duty cycle than baseline — consistent with a slow distribution-network leak too small to trigger a pressure alarm but continuously wasting energy. Enerzyz also covers industrial motors and compressors through predictive asset management.

Typical detection pattern

Enerzyz watches compressor duty cycle for the signature of a slow leak, and applies predictive asset management across industrial motors and compressors.