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 central cooling plant included two chillers, two chilled-water pumps, two condenser-water pumps, and two cooling towers. Normal operation kept one magnetic-bearing chiller online with 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 while still covering chiller, chilled-water, condenser-water, and cooling-tower operation.

EquipmentQuantitySpecificationStatus
Magnetic-bearing chiller1 active / 2 installedVendor recorded: Haier / 1010 kW cooling capacity / Rated efficiency 0.57 kW/tonRunning
Chilled-water pump1 active / 2 installedVendor recorded: Oriental Pump / 22 kW / 32 m head / 160 m³/h flow / Variable-speed capableRunning
Condenser-water pump1 active / 2 installedVendor recorded: Tucker / 18.5 kW / 20 m head / 200 m³/h flow / Variable-speed capableRunning
Cooling towers2 active / 2 installedVendor recorded: Shangfeng / 7.5 kW each / 350 m³/h flow / Fixed-speed operationNormally open

Control scope

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

Energy savings and operating-period calculation

Comparison design
Alternating AI and baseline operation.
Baseline records
10 days; total energy 14,503.49 kWh; average 1,450.35 kWh/day.
AI records
10 days; total energy 12,105.78 kWh; average 1,210.58 kWh/day.
Average savings rate
16.81%
Average savings
239.77 kWh
Total savings
2,397.71 kWh
  1. 1. Baseline average daily energy = 14,503.49 kWh / 10 days = 1,450.35 kWh/day.
  2. 2. AI average daily energy = 12,105.78 kWh / 10 days = 1,210.58 kWh/day.
  3. 3. Average daily savings = 1,450.35 - 1,210.58 = 239.77 kWh/day.
  4. 4. Average savings rate = 239.77 / 1,450.35 x 100% = 16.81%.
  5. 5. Total measured savings = 239.77 kWh/day x 10 days = 2,397.71 kWh.

Case result

Average savings rate
=Baseline total energybaseline days-AI total energyAI daysBaseline total energybaseline days*100%
=14,503.4910-12,105.781014,503.4910*100%
=16.81%

Daily operating data

Daily operating data

The alternating verification record shows daily equipment energy by mode. The scatter plot uses operating-day sequence on the x-axis and total daily energy on the y-axis because the daily record does not include weather variables.

Daily total energy by operating-day sequence

900112513501575180016111520Operating day sequencekWh/day
Baseline controlAI control
ModeDateChiller kWhChilled-water pump kWhCondenser-water pump kWhCooling tower kWhTotal energy kWh
AI controlJul 24725.80187.93110.72161.101186
Baseline controlJul 25879.30307.2797.45162.821447
AI controlJul 26593.60209.6097.93162.701064
Baseline controlJul 27843.10302.0295.81156.021397
AI controlJul 28618.30194.95119.23159.101092
Baseline controlJul 31901.80307.4797.53161.521468
AI controlAug 1635.18181.30114.90155.731087
Baseline controlAug 2931.66289.2389.15148.391458
AI controlAug 3876.75194.14107.77150.471329
Baseline controlAug 4937.90284.7190.18148.781462
AI controlAug 7857.20195.81100.29150.901304
Baseline controlAug 8965.90293.2394.34158.641512
AI controlAug 9922.20224.33100.56159.581407
Baseline controlAug 10898.20293.2394.89159.061445
AI controlAug 11741.50204.59120.42159.781226
Baseline controlAug 141083.21297.2295.98161.871638
AI controlAug 15820.80201.35101.51156.581280
Baseline controlAug 16933.00292.5092.19150.041468
AI controlAug 17708.00188.8092.72141.661131
Baseline controlAug 18702.50276.9087.32141.161208

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.