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Building central air conditioner temperature and humidity optimization control method and system

An air-conditioning system, a technology for optimal control, applied in heating and ventilation control systems, control input involving air characteristics, space heating and ventilation control input, etc., can solve the problem of neglecting indoor air humidity control, etc. The effect of improving energy efficiency

Active Publication Date: 2022-05-27
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] When the air-conditioning system processes indoor air, there is a serious coupling relationship between air temperature and humidity. However, previous studies mainly focus on the control of indoor air temperature, ignoring the control of indoor air humidity.

Method used

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  • Building central air conditioner temperature and humidity optimization control method and system
  • Building central air conditioner temperature and humidity optimization control method and system
  • Building central air conditioner temperature and humidity optimization control method and system

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Embodiment 1

[0047] like figure 1As shown in the figure, this embodiment provides a method for optimizing the temperature and humidity of a building central air conditioner. In this embodiment, the method is applied to a server for illustration. It can be understood that this method can also be applied to a terminal, and can also be applied to include Terminal and server and system, and realized through the interaction of terminal and server. The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud service, cloud database, cloud computing, cloud function, cloud storage, network server, cloud communication, intermediate Cloud servers for basic cloud computing services such as software services, domain name services, security service CDNs, and big data and artificial intelligence platforms. The terminal may be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart...

Embodiment 2

[0095] This embodiment provides an optimal control system for the temperature and humidity of a central air conditioner in a building.

[0096] A temperature and humidity optimization control system for a central air conditioner in a building, comprising:

[0097] a first model building module configured to: establish a prediction model associated with the temperature and humidity of the air-conditioning system according to the specified air-conditioning system;

[0098] an objective function building module, which is configured to: formulate an economic performance index of the air conditioning system and a tracking performance index of the air conditioning system according to the prediction model, and construct an optimization objective function;

[0099] The second model building module is configured to: construct an optimization problem based on the optimization objective function in combination with constraints;

[0100] The optimization control module is configured to: ...

Embodiment 3

[0103] This embodiment provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the steps in the method for optimizing the temperature and humidity control of a central air conditioner in a building as described in the first embodiment above.

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Abstract

The invention belongs to the field of air conditioning systems, and provides a temperature and humidity optimization control method and system for a central air conditioner of a building. The method comprises the following steps: establishing a prediction model associated with the temperature and humidity of the air conditioning system according to the specified air conditioning system; according to the prediction model, economic performance indexes and tracking performance indexes of the air conditioning system are formulated, and an optimization objective function is constructed; constructing an optimization problem based on the optimization objective function in combination with constraint conditions; time-varying weight parameters of the optimization objective function are determined, an optimization problem is solved, and a first item of the obtained control input acts on the air conditioning system; predicted variable values and time-varying weight parameters in the optimization problem are continuously updated at each sampling moment in the future, and the optimization problem is solved in a rolling manner, so that continuous optimization control over the air conditioning system is achieved; wherein the predicted variable value comprises predicted values of a future moment state variable and an output variable, and is obtained according to the prediction model.

Description

technical field [0001] The invention belongs to the field of air conditioning systems, and in particular relates to a method and a system for optimizing temperature and humidity control of a central air conditioner in a building. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Nowadays, people work and live indoors most of the time. In order to create a healthy and comfortable indoor environment, the air conditioning system has become an indispensable part of the building system. Temperature and humidity, as the two most important factors affecting the indoor thermal environment, have become a major research problem in the thermal environment control of building air-conditioning systems. It is worth noting that the energy consumption generated by the air conditioning system accounts for a large proportion of the total energy consumption o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/46F24F11/62F24F11/89F24F110/10F24F110/20
CPCF24F11/46F24F11/62F24F2110/10F24F2110/20Y02B30/70
Inventor 王新立李娜尹晓红王雷段培永王瑞琪
Owner SHANDONG UNIV
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