Air conditioning system adjusting method based on weather forecast

Abstract

The invention provides an air conditioning system adjusting method based on weather forecast. According to the air conditioning system adjusting method based on weather forecast, a weather forecast means is utilized; the load change of the air conditioning system at the future moment is predicted; an optimal operation parameter under the load condition is obtained; all parameter variables of the air conditioning system are controlled in advance; the control time difference caused by large time lag and large inertia of the air conditioning system is avoided; balance and time synchronization ofcold supply and load cold consumption of the air conditioning system are ensured; in addition, the air conditioning system adjusting method can further enable load prediction of the air conditioning system to be more accurate, feed-forward control is conducted on the air conditioning system, and therefore hysteresis and oscillation of the system are avoided, supply and demand balance of the systemis guaranteed, and the air conditioning system is always in an efficient operation state and an energy-saving optimization state.

Description

technical field [0001] The invention relates to the technical field of HVAC energy saving, in particular to an air conditioning system adjustment method based on weather forecast. Background technique [0002] The current air-conditioning energy saving generally adopts PID control and load forecasting to adjust the air-conditioning system. However, the air-conditioning system, especially the central air-conditioning system is a complex system with time-delay, time-varying, non-linear and large inertia, which is difficult to describe with precise mathematical models or methods. For the air-conditioning system in the subway station, the factors affecting the indoor temperature of the subway station are the outdoor air temperature, light intensity, passenger flow, heat generated by train braking, and equipment heating, among which the main influencing factor is the outdoor temperature. Due to the time-varying dynamic characteristics of the central air-conditioning system and t...

AI Technical Summary

Problems solved by technology

Due to the time-varying dynamic characteristics of the central air-conditioning system and the complex structure of the underground space of the subway station, the large lag of the air-conditioning system in the station

At present, most subway stations still adopt the traditional BAS control, and some stations have energy-saving systems, which basically adopt PID regulation and load forecasting regulation, but they cannot solve the large lag of the station air conditioning system.

[0003] Among them, in the traditional BAS control, its control strategy will not change, that is, the mode and parameters will not change, and it cannot be adjusted according to the station's compliance, resulting in a waste of energy

However, in the adjustment process using the PID controller, the adjustment is based on the real-time compliance of the station, and there is a large lag, and the parameter setting largely depends on the experience of the engineering commissioning personnel, which is greatly affected by human factors. Once set, it cannot be adjusted automatically following changes in load and working conditions. The energy-saving effect is poor and it is easy to oscillate, which affects the stability of the air-conditioning system and the service quality of the air-conditioning terminal.

Although the load forecasting method can solve the hysteresis of the air conditioning system to a certain extent, the current load forecasting method is basically based on historical and real-time data, the accuracy of load forecasting is not high, and it cannot respond in time to unexpected weather conditions, which is also easy to cause The system is oscillating, making it difficult to achieve an ideal adjustment effect

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