Building dynamic room temperature prediction method based on equivalent RC model

Abstract

The invention discloses a building dynamic room temperature prediction method based on an equivalent RC model. According to the method, the influence of disturbance and ventilation in a building is not considered, the heat storage and release effect of a heat accumulator of the building is considered, the heat storage and release capacity of the building is regarded as heat capacity to analogize acapacitor element in a circuit, heat transfer resistance of the building is regarded as heat resistance to analogize a resistor element in the circuit, and in addition, solar radiation and heat (cold) are analogized to be a current source in the circuit. The method applies a system identification theory. An equivalent RC model structure of a single building is established based on the building thermal process. Model step-by-step driving is carried out by using hour-by-hour room temperature monitoring data of several different stages in the actual operation process of the building and hour-by-hour heat (cold) supply quantity historical data of corresponding stages; and corresponding hourly meteorological conditions and initial conditions are input, and model parameters are identified stepby step through a genetic algorithm (GA), so that an equivalent RC model with determined parameters is obtained, and the dynamic average room temperature of the building is predicted.

Description

Technical field [0001] The invention relates to the technical field of building dynamic room temperature prediction, in particular to a building dynamic room temperature prediction method based on a stepwise identification process of equivalent RC model parameters. Background technique [0002] Under the general background of my country's use of renewable energy to generate electricity, there is a problem of power supply and demand mismatch in the time dimension. Power may be in short supply during peak periods, while power supply tends to exceed demand in other periods. For electric load, smoothing peak load or peak shaving and valley filling is an effective method to solve this problem. [0003] On the other hand, as a space for people's activities, buildings need to be heated or cooled, which has a huge demand for electricity. As far as air-conditioning load is concerned, its proportion of peak electric power load during the summer peak period has reached 30%-40%, and it is sti...

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Problems solved by technology

[0007] 1. It is difficult to coordinate the complexity of the method and the interpretability of the physical meaning

Existing methods either need to input detailed thermal parameters of building materials or statistical results of parameters based on regions, which is not convenient for engineering practice, or cannot give a reasonable explanation from the perspective of heat transfer, and lacks a strong professional theoretical basis;

[0008] 2. The existing room temperature prediction methods are not very applicable, and it is difficult to accurately predict room temperature under multiple working conditions;

[0009] 3. Most of the existing methods do not consider the heat storage effect of the building, resulting in neglecting the delay effect of temperature wave in time and the attenuation effect in intensity

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