Operating challenge
The plant used fixed or manually selected condenser-side frequencies, leaving pump and tower operation away from the lowest-energy point under changing weather and load.
Deployment registry
Real HVAC proofLive deployments
A small set of verified deployments shows how supervisory AI adapts to existing cooling plants, operating constraints, and contractual baselines without turning this page into a broad market taxonomy.
- Plant efficiency improvement
- 12.11%
- AI operating period
- 37 days
- Average plant efficiency
- 0.74 -> 0.65 kW/ton
Optimization approach
AI control adjusted condenser-water pump frequency and cooling-tower fan frequency inside defined bounds, with group-control and AI modes kept switchable.
Verified outcome
The measurement dataset compares the AI period against baseline operation and shows a 12.11% average plant efficiency improvement.
Verified fleet performance logs
Government office cooling plant
Government Office Cooling Plant
A compact office plant used AI supervisory control to optimize pump frequencies and chiller leaving-water temperature during alternating operation.
Read the full case- Energy savings result
- 16.81%
- Average daily savings
- 239.77 kWh
- Total measured savings
- 2,397.71 kWh
Hospital cooling plant
Hospital Cooling Plant
A mixed chiller plant used API-connected AI control to reduce comparable daily plant energy while keeping weather conditions close.
Read the full case- Energy reduction
- 32.18%
- Baseline daily energy
- 3,470.24 kWh
- AI daily energy
- 2,353.38 kWh
Solar manufacturing cooling plant
Solar Manufacturing Cooling Plant
A large industrial cooling plant with heat recovery was evaluated through comparable days matched by weather, production, and load.
Read the full case- Average savings
- 21.29%
- 20-day comparable result
- 24.51%
- Cooling towers
- 17
Regional energy center
Regional Energy Center
A shared chilled-water and ice-storage plant used supervisory optimization to balance load swings, tariff windows, and equipment staging.
- Comparable-day savings
- 10.12%
- Monthly power-cost reduction
- CNY 150K
- Asset inventory
- 7 chillers / 12 towers
High-comfort venue hotel
High-Comfort Venue Hotel
A comfort-critical hotel plant used hard operating guardrails and local deployment to reduce tuning risk.
- Deployment tuning
- 28 days
- Recorded plant efficiency
- 0.55 kW/ton
- Safety boundary
- Hard guardrails
Data center cold plant
Data Center Cold Plant
A three-chiller data center plant used coordinated AI control across chillers, pumps, and towers.
- Verified savings
- 19%
- Chiller capacity
- 3 x 3340kW
- Controlled scope
- Chiller / pump / tower
Mode-split data center
Mode-Split Data Center
A data center plant separated free-cooling and mechanical-cooling modes so each operating state could be measured cleanly.
- Free-cooling savings
- 17.23%
- Chiller-mode savings
- 7.54%
- Annual PUE
- around 1.2
Phased data center campus
Phased Data Center Campus
A staged data center deployment used transfer reinforcement learning and advisory value push mode to reduce adoption risk.
- Verified savings
- 11.2%
- Learning strategy
- Transfer RL
- Interface mode
- Advisory push
Verification method.
Case data is cleaned into a public-safe resource and checked in the browser before release.
Source truth
Operating record
Public-safe resource
Internal fields removed
Validated surface
Browser copy check
Review your cooling plant against these patterns.
Compare your facility performance against this verified deployment set. Our engineering team can provide a tailored feasibility review.