Cooling tower modeling method based on RBF neural network

Abstract

The invention discloses a cooling tower modeling method based on an RBF neural network. The method includes: monitoring field cooling tower operation parameters, exhaust parameters and outdoor environment parameters in real time; using the RBF neural network to built the mathematic model of a cooling tower according to the field monitoring parameters; evaluating the thermal performance of the cooling tower in real time according to the built RBF neural network model; intelligently regulating and controlling the fan and the water pump of the cooling tower according to the thermal performance so as to reduce system energy consumption. The method has the advantages that nonlinear complex system modeling of the cooling tower is avoided favorably, the cooling tower modeling process is simplified, and cooling tower energy consumption is reduced by energy conservation optimization control of the fan and the water pump of the cooling tower; the method is good in instantaneity, high in adaptability and widely applicable to subway cooling tower field thermal performance evaluation and energy conservation.

Description

technical field [0001] The invention relates to a cooling tower modeling method, in particular to a cooling tower modeling method based on an RBF neural network. Background technique [0002] Since the 21st century, urban architecture and underground transportation have developed rapidly. A large number of subways have emerged and developed in major cities. Because the projects are located underground, ventilation and air conditioning systems are usually required, and the energy consumption of the air conditioning system can account for the entire underground project. At the same time, due to the denseness of urban buildings and roads, the performance of cooling towers in underground air-conditioning systems has attracted more and more attention from people and the government. The energy-saving and environmental protection of ventilation and air-conditioning systems has already Problems that need to be solved urgently in the process of construction and operation. [0003] I...

AI Technical Summary

Problems solved by technology

When the power configuration of the cooling tower is too high, the operating efficiency of the cooling tower will be reduced, and it will easily cause excessive waste of cooling water; In the state of high temperature operation, equipment loss, and even cause equipment failure to stop running

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