ENERGY · METERING · OPTIMISATION

Energy Monitoring & Optimisation Systems Malaysia

CANS combines electrical and utility metering, automation, dashboards, operational data and control engineering to help facilities understand where energy is used and where performance can be improved.

The approach starts with reliable measurement and an operating baseline. Optimisation is then applied only where the process, equipment constraints and measurement evidence justify it.

CANS energy and HVAC optimisation project

Actual CANS energy/HVAC project image

From Metering to Actionable Energy Performance

Typical projects can combine electrical meters, chilled-water or utility metering, equipment runtime, process variables, BMS/SCADA data and production context. CANS can then implement dashboards, baselines, load profiles, demand monitoring, energy-intensity KPIs, alarms and reporting.

Where control authority is available, selected optimisation strategies can be implemented through the existing PLC/BMS under defined operating constraints.

Energy Visibility

Sub-metering, load profiles, demand trends, utility dashboards and equipment-level energy performance reveal where consumption actually occurs.

Performance Baselines

Normalisation against production, weather, occupancy or operating hours helps separate genuine efficiency improvement from changing operating conditions.

Optimisation & Control

Scheduling, sequencing, setpoint optimisation and AI-assisted recommendations can be layered onto proven measurements and existing control infrastructure.

Chiller Plant Optimisation Experience

For a large shopping mall with an ageing HVAC system and rising electricity costs, CANS worked with an energy consultant to implement improved chiller control using instrumentation, PLC control, HMI, reporting and custom control algorithms.

Extend Into AI HVAC

For central chilled-water plants and mission-critical facilities, the same measurement and control foundation can support forecasting, Bayesian optimisation, digital-twin context and safeguarded AI supervisory control.