Energy Consumption and Power Quality Measurement in Industrial Processes
EnergyEnergy

Energy Consumption and Power Quality Measurement in Industrial Processes

Detailed measurement and real-time analysis of energy consumption and power quality to detect losses, improve efficiency, and extend industrial equipment lifespan.

Description

We provide detailed measurement and real-time analysis of energy consumption and power quality in industrial processes. This information enables loss detection, improved energy efficiency, and extended equipment lifespan.

01 — How it works
01Meter installation

We connect energy meters at strategic process points — transformers, main panels, production zones — integrating them with Reveal.

02Data consolidation

The platform unifies readings from all meters, providing granular visibility into energy behavior by zone.

03Pattern analysis

Reveal identifies deviations in consumption, voltage drops, harmonics, and power factor that indicate inefficiencies or risk.

04Continuous optimization

Historical consumption data by zone and equipment enables informed energy efficiency decisions.

02 — What it detects
Overload or atypical consumption by zone

Current spikes or abnormal patterns signal defective equipment, improper connections, or electrical risk.

Voltage drop or phase imbalance

Deviations in electrical parameters anticipate conditions that degrade equipment and compromise production.

Degraded power factor

A low power factor indicates excessive reactive energy, generating surcharges on bills and network overload.

Elevated harmonics

Distortions in the electrical waveform that reduce the efficiency of motors, transformers, and sensitive equipment.

03 — Results
Granular energy visibility

Consumption broken down by zone and measurement point to identify exactly where energy is lost.

Inefficiency detection

Comparisons between zones and periods reveal equipment consuming more than expected.

Equipment protection

Electrical anomaly detection enables intervention before power quality damages costly equipment.

Energy cost reduction

Real data to support optimization decisions that directly impact the electricity bill.

04 — Related use cases

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