Xiangming Central Air Conditioning Energy-Saving System | Finding the Optimal Solution Between Comfort and Energy Saving

Using AI group control to coordinate cold sources and terminals, turning the "power tiger" into an "energy-saving engine" with data

1. Why the air conditioning system is the first lever for energy saving

In central air conditioning systems, the impact of operation mode on energy consumption is often far greater than the efficiency differences of the equipment itself. Management methods relying on manual experience and fixed schedules have a large amount of hidden waste:

• High energy consumption proportion:Air conditioning typically accounts for 40%–60% of a building's total energy consumption, making it a veritable "power tiger."
• Large flow with small temperature difference:Chillers and pumps are often in an "excess cooling/heating supply" state, and energy efficiency is wasted.
• Fragmented system difficult to coordinate:Chillers, cooling towers, pumps, and terminals each act independently, lacking globally optimal scheduling.
• Lack of real-time optimization:Supply water temperature and pressure difference mostly rely on fixed settings and cannot be dynamically adjusted according to load and weather.
• Faults rely on repair requests:Equipment inefficiency or abnormalities are often discovered only after complaints, which wastes electricity and affects comfort.
• No basis for energy saving:Lack of sub-metering and benchmarking makes retrofit effects unclear and inaccurate.

2. Product positioning and construction goals

Xiangming Central Air Conditioning Energy-Saving System is the "energy-saving brain" of building energy management: without modifying hardware assets, it uses algorithms to schedule cold sources and terminals into an efficient range. It serves four types of roles:

• Facility/engineering managers:Grasp air conditioning energy consumption and equipment status on one screen, and optimize operation remotely.
• O&M personnel:Alarm and diagnostic push notifications, shifting from passive firefighting to proactive maintenance.
• Energy management positions:Sub-metering and carbon emission accounting, supporting green and compliance goals.
• Decision-makers:Quantify investment returns with energy-saving rates and electricity bill savings.

Construction goals:Comfort not compromised, energy consumption reducible, equipment longer-lasting, energy saving quantifiable.

3. Core functional modules

3.1 AI cold source group control optimization

• Intelligent loading/unloading of multiple chillers, variable frequency chilled/cooling water pumps, and cooling tower coordination, with dynamic optimization based on load forecasting.
• Avoid "large flow with small temperature difference" and inefficient operating ranges, and systematically improve comprehensive energy efficiency.

3.2 Load forecasting and dynamic setting

• Combine weather forecasts, historical loads, and indoor conditions to dynamically set supply water temperature, pressure difference, and operation strategies.
• Replace fixed schedules with "cooling/heating on demand" to eliminate excessive supply.

3.3 Equipment energy efficiency monitoring (COP)

• Real-time calculation of chiller and system COP, automatic early warning for inefficient operation, and optimization suggestions.

3.4 Indoor comfort and environmental regulation

• Multi-point monitoring of temperature, humidity, CO₂, and PM2.5, with zone-based comfort control, achieving both comfort and energy savings.

3.5 Fault Detection and Diagnostics (FDD)

• Automatic diagnosis of sensor drift and equipment anomalies, with early warnings to reduce unplanned downtime and energy loss.

3.6 Sub-metering and Energy Consumption Analysis

• Multi-dimensional sub-metering for cooling sources, distribution, terminals, and floors, generating energy usage profiles and benchmarking baselines.

3.7 Remote O&M and Mobile Access

• Remote start/stop, parameter adjustment, and alarm push notifications, enabling stable and energy-efficient operation even with minimal staffing.

3.8 Data Dashboard and Energy-Saving Reports

• Multi-dimensional reports on real-time energy consumption, energy-saving rate, and carbon reduction, making energy-saving results visible and quantifiable.

3.9 Open Integration (No Hardware Modification Required)

• Compatible with protocols such as Modbus / BACnet, integrating with existing BA / building automation and chiller communications, protecting existing investments.

IV. Technical Architecture and Service Advantages

• Cloud-Edge-Device Collaboration:Edge gateways collect and control locally, while the cloud performs algorithm training and global optimization, ensuring low latency and high reliability.
• AI Optimization Core:Load forecasting + mechanistic models + reinforcement learning, continuously approaching optimal system energy efficiency.
• Modification-Free Access:No replacement of existing equipment, standard protocol integration, short implementation cycle, and low risk.
• Security and Compliance:Data encryption, hierarchical permissions, and operation auditing, meeting enterprise-level security requirements.
• Flexible Deployment:Supports private / hybrid cloud deployment, balancing data security and elastic scalability.
• Verifiable Results:Comparing operational results against the "pre-retrofit baseline," energy-saving rates and returns are clear and provable.

V. Application Results (Data-Driven Expression)

The following are typical improvement directions after similar buildings deployed the Xiangming central air conditioning energy-saving system,Please refer to your company's actual data for specific values：

Metric Dimension	Before Deployment	After Deployment
Air Conditioning System Energy-Saving Rate	Fixed Operating Strategy	Decrease of 28%–40%
Annual Air Conditioning Electricity Cost	High, difficult to calculate	Savings of 800,000 yuan/year
Carbon Reduction	No calculation	Reduction of 580 tons CO₂/year
Fault Discovery Method	After user complaints	Automatic diagnosis and early warning
Equipment operating life	Low-efficiency wear	Extended by 4-6 years

Note: The data in the table are typical industry example ranges, used to present the direction of improvement. Before official public release, please replace them with your company's real project data and confirm that authorization has been obtained.

VI. Value created for customers

• Direct cost reduction:Air conditioning energy consumption and electricity bills drop significantly, with a clear and calculable return on investment.
• Comfort without compromise:Zoned comfort control, with employee and visitor experience improved simultaneously.
• Extended equipment life:Operation in the high-efficiency range reduces wear and lowers repair and replacement costs.
• Green and low-carbon:Carbon emissions can be accounted for, supporting ESG and compliance goals.
• Decision-making backed by data:Baseline comparison makes energy-saving results visible and calculable.