Central air conditioning system operation strategy optimization method based on big data and dynamic simulation

Abstract

The invention discloses a central air-conditioning system operation strategy optimization method based on big data and dynamic simulation, and the method aims at an outdoor constantly changing weather condition and an indoor load change condition, and carries out the mining of operation data, building of an optimal control model, and dynamic adjustment of a set value or a control strategy in a system. Therefore, the energy consumption of the air conditioning system is reduced as much as possible on the premise of meeting the comfort requirements of people in the controlled area. According to the method, the energy consumption prediction and optimization control of the air conditioning system are deeply studied, the building load is predicted, various prediction models are established, and the optimal energy-saving control of the global system is realized based on a reinforcement learning method. Effectiveness and reliability of the control strategy on air conditioner energy saving are verified through simulation, temperature can be adjusted in real time according to load requirements and environment changes, and energy saving and air conditioner system energy consumption reduction are achieved.

Description

Technical field [0001] The present invention belongs to the field of big data, strategy optimization, intelligent control, especially related to big data central air conditioning system energy-saving operation enhancement, specifically a central air conditioning system operation strategy optimization method based on big data and dynamic simulation. Background [0002] Energy consumption has been an enduring hot topic, and the annual energy consumption of buildings around the world is gradually increasing. Data show that China's energy consumption is mainly divided into three parts: industrial energy consumption, building energy consumption and transportation energy consumption. According to China's statistics, the proportion of China's building energy consumption in total energy consumption has risen from 10% at the end of the last century to more than 30% in recent years. In the energy consumption of large public buildings, the total energy consumption of the central air condit...

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Problems solved by technology

However, this patent application also does not consider the influence of association rules in stable operation data on strategy optimization

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