A forecast-based control method for multi-connected air-conditioning systems

Abstract

The invention relates to a prediction-based control method for a multi-connected air-conditioning system, comprising: 1. Predicting the temperature and humidity outside the building, and calculating the envelope structure load and solar radiation load of the air-conditioning system; 2. Predicting the periodic law of the number of people in the building ;3. Predict the time point of the air conditioning system to be adjusted; 4. Real-time monitoring includes the operating parameters of outdoor unit wind speed, compressor speed, refrigerant flow, indoor unit wind speed and air volume, and indoor unit flow distribution; 5. Count multiple sampling cycles The temperature and humidity outside the building, the number of people in the building, operating parameters, and hourly COP are used as training samples, and the operating parameters corresponding to each characteristic coefficient, comfort pre-control time, temperature, and optimal COP are calculated using statistical or machine learning methods 6. Predict the operating parameters corresponding to the best COP at the time point to be adjusted, so as to adjust the system operating parameters and pre-control time. The method has high control precision, and improves the control comfort and energy-saving effect.

Description

technical field [0001] The invention relates to the technical field of air-conditioning regulation, in particular to a prediction-based multi-connected air-conditioning system regulation method. Background technique [0002] In my country, building energy consumption accounts for about 30% of the total social energy consumption, and 50% of building energy consumption comes from air conditioning systems. Therefore, reducing air-conditioning energy consumption has important strategic significance. [0003] Multi-connected air conditioners have been favored by consumers since they came into the market. Compared with traditional air conditioners, multi-connected air conditioners have significant advantages: using a new concept, integrating multiple high-tech technologies, intelligent control technology, multiple health technologies, energy-saving technologies and network control technologies, etc., to meet the needs of consumers. The requirements for comfort and convenience av...

AI Technical Summary

Problems solved by technology

Although these methods can solve part of the energy consumption problem, there are still some shortcomings: either the lack of the influence of outdoor temperature and humidity changes, or the lack of the influence of periodic changes in the number of people and the adjustment of the pre-running time and operating conditions of the air conditioner, they can only be passive. achieve adjustment

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