Integrated energy efficiency control system for chiller room group control
Function description
1) Precise selection: based on usage scenarios and air conditioning system selection experience, we make precise selection recommendations so that the air conditioning system is accurate, efficient, and stable right from the start.
2) Accurate measurement, based on the system's operational data, using high-precision sensors and measuring tools to accurately measure the system's operating data.
3) Machine learning to determine the system's operation path and parameters using the mathematical model and machine learning we've built. For instance, the measured chilled water supply, return water temperature, and return water flow are used to automatically determine the real load of building air conditioners and change the number of chillers in operation to fulfill the goal of energy conservation.
4) Using artificial intelligence control methods to determine the start and stop sequence of equipment, time rotation, fault rotation, temperature point reset, operating pressure point reset, and other methods to improve the system's operating efficiency and trouble-free time through machine learning and changes in the external and internal environment
5) Touch screens can be used for on-site operations, while distant communication access can be reserved for remote monitoring.
System composition block diagram
Order model:
CPEC-P Power Cabinet
CPEC-C Chiller Room Energy Efficiency Control Cabinet
CPEC-F Pump Frequency Conversion Energy Efficiency Control Cabinet
CPEC-S Pump Energy Efficiency Control Cabinet
CPEC-T Cooling Tower Energy Saving Control Box