Intelligent central air-conditioning system control method for predicting lag time

Abstract

The invention provides an intelligent central air-conditioning system control method for predicting lag time. The method is characterized by comprising the following steps of: firstly, acquiring an outdoor real-time temperature Tout and an indoor real-time temperature Tin; computing to obtain indoor and outdoor temperature difference Tio=Tin-Tout and the temperature difference Tdiff between an indoor required temperature Trequired and the indoor real-time temperature Tin, Tdiff=Trequired-Tin; establishing a control rule strategy table by using the data; during running of a water-cooled central air conditioner, obtaining predicted lag time according to the control rule strategy table; and making the water-cooled central air conditioner run ahead of the predicted lag time. By adopting the method, the problem of time lag property existing in an air conditioner controlling technology is solved, the control rule strategy table based on measured data is provided, the prediction of the conveying time of indoor required cold energy at a future moment is realized by inquiring the rule table with a system, cold can be supplied ahead of corresponding time, and energy can be saved to the maximum extent for the system in the mode of supplying cold as required.

Description

technical field [0001] The invention relates to an intelligent control method for a central air-conditioning system with lag time prediction, which is used for predicting the time when a water-cooled central air conditioner sends any cooling capacity to the room, and can control the water-cooled central air conditioner to deliver cooling in advance of the corresponding time. Background technique [0002] The water-cooled central air conditioner is a typical time-lag system, that is, it takes a certain amount of time for the cooling generated by the air-conditioning refrigerator to reach the room. This is mainly due to the time required for the air-conditioning chilled water to flow and circulate in the pipeline. For water-cooled central air conditioners, it is precisely because of this time lag that the system cannot achieve "on-demand cooling", wasting energy consumption. [0003] At present, there are not many studies on air-conditioning load forecasting. Among the existin...

AI Technical Summary

Problems solved by technology

For water-cooled central air conditioners, it is precisely because of this time lag that the system cannot achieve "on-demand cooling", wasting energy consumption

[0003] At present, there are not many studies on air-conditioning load forecasting. Among the existing cooling capacity forecasting technologies, most of them have not been applied in practice, and are limited to the theoretical level. More importantly, in the forecasting process, most of the methods are aimed at specific buildings. , using the load data generated by software simulation as a benchmark cannot reflect the real load changes of the system

Therefore, there is no good method that can really solve the waste of energy consumption caused by the time lag of water-cooled central air conditioners.

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