Solar heat pump hot water system control strategy optimization method based on machine learning

Abstract

The invention discloses a solar heat pump hot water system control strategy optimization method based on machine learning. The method includes the steps that an air source heat pump thermal model anda solar collector thermal model are constructed; related data are collected; a hot water system model is constructed; load prediction is conducted; and strategy optimization is conducted. According tothe solar heat pump hot water system control strategy optimization method, a thermodynamic model of a system is constructed, an input-output relationship of a heat collection process of an air sourceheat pump and a solar collector is established, a KNN(K-Nearest Neighbor) supervised learning algorithm in machine learning is utilized to realize hourly prediction of a hot water load, a predicted value is used as a demand load value, the established thermal models are utilized to analyze an optimal control strategy and the energy saving rate of the system, thus a theoretical basis is provided for engineers, and it is ensured that the hot water system operates more stably and energy-efficiently.

Description

technical field [0001] The invention relates to the technical field of control of a solar energy-air source heat coupled hot water system, in particular to a method for optimizing a control strategy of a solar heat pump hot water system based on machine learning. Background technique [0002] According to statistics, building energy consumption accounts for about 30% of the country's total energy consumption. Hot water energy consumption is an important aspect of energy consumption in our country. At present, the energy consumption of hot water in commercial buildings in my country accounts for 20-40% of the total energy consumption of buildings, and the energy consumption of hot water in civil buildings accounts for 15-20% of the total energy consumption of buildings. The use of domestic hot water has become an important symbol to measure the degree of social civilization and people's living standards. Therefore, the development and promotion of energy-saving and consumpt...

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Problems solved by technology

Some scholars (Huang Wenhong. Research on the operating characteristics and optimization of solar-air source heat pump hot water system [D]. Jimei University, 2017. Lou Jing. Research on intelligent control system of parallel solar heat pump hot water units [D]. Central South University, 2009. Chen Qingjie. Research on the prediction model and control strategy of solar heat pump heating capacity [D]. Central South University, 2012.) only analyzed and optimized the control strategy of the system for the static water condition, and did not use the dynamic prediction method of load and consider the heat consumption The coupling matching problem of heating, and the control strategy used in the test bench has not been verified in the actual water supply system, so there are limitations

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