Method and device for predictive control of cold and heat sources in building air-conditioning system

Abstract

The invention provides a cold and heat source prediction control method and device of an air conditioning system of a building, and relates to the field of cold and heat source control of air conditioning systems. The method comprises the steps of collecting historical thermal environment data of an energy supply control area; according to the historical thermal environment data and prediction variables of the energy supply control area, predicting the thermal environment of the control area within a preset prediction period; according to a prediction result and comfort degree requirements, determining cold and heat load input by air conditioner terminal equipment in a building into the control area within a control period; collecting parameter indexes of the control area; according to theparameter indexes, adjusting cold and heat load input by the air conditioner terminal equipment in the building into the control area within a next control period. By means of the cold and heat source prediction control method and device of the air conditioning system of the building, the optimization control over cold and heat sources is achieved, a feedback mechanism is fully utilized, an application scene which meets the personalized target requirement of a user is achieved, and an innovative control method which is easy to subject to engineering implementation and capable of ensuring theaccuracy is formed.

Description

technical field [0001] The invention relates to the field of cold and heat source control of an air-conditioning system, in particular to a method and device for predictive control of cold and heat sources of a building air-conditioning system. 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 inf...

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 actual control system of the project

However, an oversimplified abstract model will affect the optimization accuracy and application scenarios of the control system, and restrict the optimization and energy saving effect of the control system.

On the energy supply side, only for energy-saving optimization of the energy supply system, there are still many excessive energy supply phenomena, and the real matching of supply and demand cannot be achieved

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