Energy-saving method of central air-conditioning water system

Abstract

The invention relates to an energy-saving method of a central air-conditioning water system. Historical running data of the central air-conditioning water system are utilized, a central air-conditioning water system energy-saving optimization model is established by fusing characteristic recognition and BP neural network based on an FCM clustering analysis method; under the condition of knowing load requirements and ambient temperature, an optimized model controllable input variable is used as an optimized operation parameter, and energy-saving optimization is carried out on the central air-conditioning water system to obtain the optimal operation parameters of the central air-conditioning water system; under the condition that the load and the environment are changed dynamically, all operation parameters of the central air-conditioning water system are optimized in real time, equipment is controlled in time, and it is guaranteed that the running efficiency of the central air-conditioning water system reaches the maximum degree while the load requirements are met; on the other hand, according to the energy-saving method, an energy-saving optimization model combines the advantages of the characteristic recognition and the BP neural network, the operation data of the central air-conditioning water system can be obtained in real time to correct the model, the central water-conditioning water system can be continuously operated in an efficient state, and the energy-saving optimization of the central air-conditioning water system is realized.

Description

technical field [0001] The invention relates to an energy-saving optimization method for a central air-conditioning water system, in particular to an energy-saving method for finding optimal operating parameters for the central air-conditioning water system during its operation under dynamic changes of load and outdoor environment. Background technique [0002] With the continuous progress of urbanization and industrialization, the proportion of building energy consumption in the total social energy consumption is increasing. At present, building energy consumption has accounted for 33% of the total social energy consumption, of which 36% comes from central air-conditioning water. energy consumption of the system. Under the current situation of increasing energy shortage, the energy saving of building central air-conditioning system has become a hot spot of widespread concern, and the central air-conditioning water system, as the most important energy-consuming part of the c...

AI Technical Summary

Problems solved by technology

[0006] Technical problem: Aiming at the problems existing in the energy-saving method of the existing central air-conditioning water system, the present invention proposes an energy-saving method for the central air-conditioning water system based on FCM characteristic identification and BP neural network fusion

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