Air conditioner system energy saving optimization method based on load prediction

Abstract

The invention discloses an air conditioner system energy saving optimization method based on load prediction. Historical data is utilized to predict the load of a future-moment air conditioner system; then, an energy consumption model of an air conditioner system is optimized by a particle algorithm to obtain an optimal operation parameter under the load condition; according to the real-time retardation time of the system, each parameter variable of the system is controlled in advance; a control time difference brought by the big time delay and big inertia of the air conditioner system is avoided; the amount of coldness supplied by the system and the amount of coldness used by the load are guaranteed to be same; and synchronism in time is synchronous realized. In addition, according to the air conditioner system energy saving optimization method based on load prediction, the load prediction and the optimization control of the air conditioner system can be carried out in real time, and therefore the air conditioner system is always under the optimal working state or the near-optimal working state to achieve the purpose of energy saving optimization.

Description

technical field [0001] The invention relates to an energy-saving optimization method of an air-conditioning system, which belongs to the field of energy-saving optimization of an air-conditioning system. Background technique [0002] With the development of urbanization and industrialization in our country, the construction industry is developing rapidly, and building energy consumption is increasing continuously. Building energy consumption has accounted for more than 27% of the total energy consumption of the society, and in some areas it is close to 40%. The consumption is consumed by the air conditioning system. Under the current situation that building energy consumption accounts for an increasing proportion of the entire energy consumption, the energy saving of air conditioning systems in buildings has become a focus and hot spot in the field of energy saving. According to the concept of terminal energy saving, increasing the energy saving of air conditioners has grea...

AI Technical Summary

Problems solved by technology

However, the central air-conditioning system is a complex system with time-delay, time-varying, nonlinear and large inertia. Its complexity makes it difficult to describe the central air-conditioning system with an accurate mathematical model or method, and the engineering parameters of the PID controller are in It largely depends on the experience of the commissioning personnel and is greatly affected by human factors. Once it is set, it cannot be adjusted automatically following changes in load and working conditions. Not only is the energy saving effect poor, but it is also easy to cause system shocks and affect the central air conditioning system. Stability of operation and quality of service at the air-conditioning terminal

In the article "Dynamic Control Technology of Air-Conditioning Chilled Water Flow Based on Load Forecasting", the author adopts the method based on load forecasting, uses intelligent fuzzy control technology, and makes intelligent decisions on the control through the fuzzy control rule base according to the load and ambient temperature. The method achieves the optimal control effect of energy saving to a certain extent, but the accuracy of the decision rules obtained through fuzzy control still needs to be improved.

[0004] Due to the time-varying dynamic characteristics of the central air-conditioning system, the traditional energy-saving control strategy cannot accumulate and synthesize relevant information online in real time during the operation of the air-conditioning system, perform immediate corrections or adjust the control parameters of the system, and cannot keep the air-conditioning system always at Optimal or close to optimal working condition

On the other hand, due to the large time-lag and large inertia of the air-conditioning system, the output of the control system always takes effect after the lag time τ. Generally, it is only suitable for the controlled object or process without time lag, and it is difficult to achieve better control effect in the air conditioning system

Images