Cooling plant case

Government office cooling plant

AI supervisory control optimized chilled-water pump frequency, condenser-water pump frequency, and chiller leaving-water temperature on a compact office plant.

Energy savings result
16.81%

Average result across the alternating operating window.

Average daily savings
239.77 kWh

Reported average energy reduction during compared operation.

Total measured savings
2,397.71 kWh

Aggregate savings for the evaluated operating window.

Plant profile

Two-chiller office plant with variable-speed pumps

The plant normally operated one magnetic-bearing chiller, one variable-speed chilled-water pump, one variable-speed condenser-water pump, and two fixed-speed cooling towers.

Equipment

Operating equipment

The active equipment set was small enough for direct supervisory setpoint optimization.

EquipmentQuantitySpecificationStatus
Magnetic-bearing chiller-1010 kW cooling capacity / Rated efficiency 0.57 kW/tonRunning
Chilled-water pump-22 kW / 32 m head / 160 m³/h flowRunning
Condenser-water pump-18.5 kW / 20 m head / 200 m³/h flowRunning
Cooling towers27.5 kW each / 350 m³/h flowNormally open

Control scope

Deployment
Edge compute device plus AI reinforcement-learning control.
Variables optimized
Chilled-water pump frequency, condenser-water pump frequency, and chiller leaving-water temperature.
Evaluation period
Alternating operation from Jul 24 to Aug 18.

Calculation detail

Comparison design
Alternating AI and baseline operation.
Average savings rate
16.81%
Average savings
239.77 kWh
Total savings
2,397.71 kWh

Case result

Average savings rate = 16.81%; average daily savings = 239.77 kWh; total savings = 2,397.71 kWh.

Compare your plant against these operating patterns.

Bring plant topology, BMS trend logs, and utility data. We will map what can be measured before proposing an optimization scope.