A method for optimizing the operation energy efficiency of a multi-connected variable refrigerant flow central air conditioning system
By collecting data and dynamically optimizing the multi-split air conditioning system, the problems of low heat dissipation efficiency and inaccurate water resource allocation under high temperature conditions were solved, thereby improving the system's energy efficiency and stability and promoting the coordinated operation of the main units.
Patent Information
- Application Number
- CN202610511958.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-17
- Publication Date
- 2026-06-12
AI Technical Summary
Multi-split air conditioning systems have low heat dissipation efficiency in high-temperature environments. Relying solely on tap water spraying is costly and prone to scaling. They lack precise allocation of limited water resources based on real-time operating conditions and coordinated control with the main unit, resulting in the potential for energy efficiency improvement not being fully explored.
By periodically collecting data from the outdoor unit module, dynamically calculating the sprinkler efficiency weight, predicting the condensate generation flow rate, optimizing the sprinkler scheduling instructions, and combining system energy efficiency feedback for self-learning correction, a collaborative operation strategy is generated to achieve precise scheduling of condensate and collaborative control of the main unit.
It achieves a more significant improvement in overall system energy efficiency under the same water volume conditions, maintains the accuracy of optimization decisions in the long term, promotes deep cooperation between the spray subsystem and the air conditioning unit, avoids energy waste and equipment failure, and improves the stability of system operation.
Smart Images
Figure CN122191718A_ABST