Model prediction control method and device for building air conditioner

Abstract

The invention provides a model prediction control method and device for a building air conditioner and relates to the field of control over indoor environments. The model prediction control method comprises the steps that historical thermal environment data of control areas are collected; thermal environments of the control areas in the preset prediction period are predicted according to the historical thermal environment data and predictive variables of the control areas; and according to the prediction result and the time-share energy price, end equipment of the building air conditioner is controlled, so that the control areas are in the comfort degree interval in the preset prediction period, and the energy cost requirement of users are met. According to the technical scheme of the model prediction control method and device for the building air conditioner, optimizing control over the end equipment of the air conditioner is achieved, the comfort degree requirement and the energy cost requirement of the users are considered, the application scene meeting the personalized target requirements of the users is achieved, and the innovative control method that a project is easy to implement, and precision is guaranteed is formed.

Description

technical field [0001] The invention relates to the field of indoor environment control, in particular to a building air conditioning model predictive control method and device. Background technique [0002] my country is a big energy consumer, in which building energy consumption accounts for as high as 25% of the total energy consumption of the whole society, and this proportion is still increasing year by year, while the energy consumption of air conditioning systems has always accounted for a large part of building energy consumption. As people's requirements for building comfort and energy saving are increasing, how to control the terminal equipment of the air conditioning system to achieve energy saving as much as possible while meeting people's comfort requirements has attracted more and more attention. [0003] At present, the traditional HVAC control strategy is relatively extensive, ignoring the influence of time and space on the energy consumption demand of buildi...

AI Technical Summary

Problems solved by technology

However, due to the constraints of the model, the effect of this control technology is greatly affected.

Overly complex mechanism modeling, due to the difficulty of implementation and low implementability, is difficult to implement in the ac

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