Marriott Hotel: Sub-Metering and Maximum-Demand Monitoring

About the client

Marriott operates in the upper tier of Malaysian hospitality, where guest comfort is non-negotiable and the building runs 24/7. A property like this carries an unusually dense and varied load: chilled-water plant for guest rooms and function spaces, commercial kitchens, industrial laundry, lifts, lighting, pool and spa plant, and back-of-house systems that never fully idle. Energy is one of the largest controllable line items in a hotel's operating budget, and in a full-service property it is also one of the hardest to attribute.

The challenge

A hotel never switches off, and that is exactly what makes its energy hard to manage. Consumption was spread across many systems with no clear breakdown, so the team could see what the building used in total but not where it went. When a bill moved, there was no fast way to trace the cause to a chiller, a kitchen line, or a laundry shift.

Maximum demand made the problem sharper. Under TNB tariffs, maximum demand is billed on the single highest 30-minute peak in the month (Suruhanjaya Tenaga / Energy Commission tariff schedule), so one coincident spike, say chillers ramping while the laundry and kitchens are at full tilt, can set a charge that follows the property for the entire billing cycle. Without live visibility, those peaks were only visible after the fact, on the invoice.

The solution

CobiNeural was deployed as the property's energy monitoring layer, sub-metering consumption across the hotel's major systems and tracking maximum demand in real time. Rather than rip and replace existing infrastructure, the platform sits over the building's metering and controls, the same overlay approach Cobler uses on existing BMS, PLC and SCADA estates, so the hotel gains visibility without a disruptive retrofit.

Two CobiNeural modules map directly to the situation:

- Insights to Energy delivers the consumption breakdown and the Max Demand KPI. The team can see demand build in real time across the data hierarchy, from the whole property down to individual systems, and watch a peak form rather than discover it on the bill. Power factor, EUI and consumption trends sit in the same view.
- Insights to Equipment carries the load down to the equipment level, so chilled-water plant, kitchen and laundry loads are sub-metered and comparable instead of buried in one figure.

With demand visible as it forms, the operations team has the basis to stage and shift heavy loads, the practical foundation for demand-side control and automation of plant such as the chiller sequence, where peaks are most often set.

The result

The hotel moved from a single monthly number to clear, sub-metered visibility of where energy actually goes, plus live maximum-demand monitoring instead of a surprise on the invoice. That is the groundwork for the work that lowers cost: trimming coincident peaks, holding maximum demand down, and managing one of the property's largest operating expenses with data rather than guesswork. It also gives the team a consistent record to support EECA-aligned reporting and any future ISO 50001 energy management effort.

See how the same approach plays out across other CobiNeural deployments, or talk to us about hotel energy monitoring for your property.