Central air conditioning system energy-saving control method

A central air-conditioning system, air-conditioning system technology, applied in the field of central air-conditioning system equipment modeling, can solve the problems of lack of a more accurate model, the air-conditioning system can not always match the needs of the user side, simulation, etc., to achieve the effect of comfortable cooling requirements

Inactive Publication Date: 2020-02-18
中金新源(天津)科技有限公司
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Problems solved by technology

[0006] To sum up, the existing air-conditioning system cannot always match the needs of the user side, and there is no more accurate model to simulate a set of optimal operation strategies, and the data cannot play a pivotal role in the early stage

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  • Central air conditioning system energy-saving control method
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  • Central air conditioning system energy-saving control method

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[0029] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0030]In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0031] It should be noted that the terms "first" and "second" in the ...

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Abstract

The invention discloses a central air conditioning system energy-saving control method based on a neural network and a genetic algorithm. The method is characterized by comprising the following stepsthat equipment operation data and building load data of an air conditioning system are acquired; the data are preprocessed; the preprocessed data are learned through the neural network to obtain a system energy efficiency model; operation state optimization parameters are obtained through optimization by means of the genetic algorithm according to the system energy efficiency model; and accordingto the operation state optimization parameters, optimal control is carried out on operation of the air conditioning system. Compared with existing control technologies, the control method has the following beneficial effects that the situations that after long-time operation of equipment, the performance is reduced, and factory data provided by a factory cannot be applied to energy efficiency analysis are avoided, and a reasonable energy efficiency curve plays an important role in formulation of operation strategies; and the system energy efficiency model is established through the neural network, the operation parameters are optimized by using the genetic algorithm, and an energy-saving strategy meeting the refrigeration requirement of the current system can be quickly matched.

Description

technical field [0001] The invention relates to the field of energy-saving control of a central air-conditioning system, in particular to a central air-conditioning system equipment modeling based on a neural network and a genetic algorithm, and an operation strategy optimization method. The invention belongs to the fields of data analysis, energy-saving optimization and refrigeration and air-conditioning technology. Background technique [0002] Today, when the world is facing an energy crisis, energy-saving technologies are increasingly valued and respected by all walks of life. According to the "Research Report on China's Building Energy Consumption (2018)", the energy consumption of the construction industry accounts for 20.6% of the country's total consumption. It can be seen that energy-saving measures have effectively maintained the proportion of building energy consumption. Among the current building energy consumption, the energy consumption of public buildings has...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/89G06N3/02G06N3/08G06N3/12G06Q10/04
CPCF24F11/89G06N3/02G06N3/084G06N3/126G06Q10/04
Inventor 苗文筱陈永平董翔王琳
Owner 中金新源(天津)科技有限公司
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