Central air conditioning system energy-saving control method based on hotel commercial activity analysis

Abstract

The invention discloses a central air conditioning system energy-saving control method based on hotel commercial activity analysis. The method involves a load forecasting control system, wherein the system comprises a load forecasting control module, a real-time load control module, a network controller and a computer, the load forecasting control module is connected with a tail end controller andoutdoor dark side and sunny side temperature and humidity sensors, the real-time load control module is connected with a water separator temperature, pressure difference and return water flow sensor,a frequency conversion cabinet and a water chiller controller, and the load prediction control module and the real-time load control module interact with the computer through the network controller.The central air conditioning system energy-saving control method based on the hotel commercial activity analysis has the advantages that a predicted load curve is obtained through a load forecasting controller and fed back to a cold station control system, the cold station control system performs early control according to the change of the predicted load curve, so that the situation is avoided that the sudden change of the load causes large loading and deloading fluctuation of a host or even frequent start and stop of the host, thereby improving the control effect of a central air conditioning system.

Description

technical field [0001] The invention relates to the field of energy-saving control of central air-conditioning systems, in particular to an energy-saving control method for central air-conditioning systems based on the analysis of hotel business conditions, which is applied to the hotel industry. Background technique [0002] The existing hotel central air-conditioning control system can only monitor and control the operating parameters of the current terminal (fan coil unit, combined air-conditioning box, fresh air fan, etc.), and cannot interact with the hotel management system to obtain room reservations, banquet hall reservations, meeting The operation status of activity places such as room reservation, KTV, gymnasium, etc., the load is predicted in advance (corrected according to the weather forecast information), and fed back to the cold station control system, so as to improve the control effect of the central air conditioning system. [0003] In the face of changes i...

AI Technical Summary

Problems solved by technology

[0003] In the face of changes in cooling load demand, the current hotel central air-conditioning control system can only passively perform variable flow control according to changes in the temperature and pressure of the water collectors in the cold station. , due to the large hysteresis of the central air-conditioning water system, the control effect is poor, and there is a high probability that the water temperature of the water system will fluctuate greatly, the host machine will run unstable, and frequent start and stop, etc. If load prediction is performed, according to the predicted load size and Controlling the changing trend can effectively improve the energy-saving control effect and make the system run stably

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