An Uncertainty-Based Calculation Method for Heat Supply of Residential Buildings

Abstract

The invention discloses a method for calculating the heat supply of a residential building based on uncertainty. The method includes the following steps: using the average value of the outdoor temperature and the indoor temperature of the building to develop a linear regression model and calculate the upper quartile of the indoor temperature distribution points; use the outdoor temperature and heating temperature to develop and improve the third-order RC model to calculate the heat supply of the heating system; use the upper quartile and the average value of the indoor temperature to calculate the normal distribution curve of the indoor temperature; according to the indoor temperature Unguaranteed rate requirements, minimum heating temperature and normal distribution curve to determine the heating temperature for system operation; input the heating temperature and outdoor temperature into the improved third-order RC model to obtain the minimum heating temperature and non-guaranteed rate requirements The heating system below provides heat. The invention aims at solving the calculation problem of building heat supply when the room temperature monitoring results of multiple users are inconsistent in a residential building, and reduces the energy consumption of the building heating system while ensuring the stable heating of the building.

Description

technical field [0001] The invention belongs to the field of computing, and in particular relates to an uncertainty-based calculation method for heat supply of residential buildings. Background technique [0002] In the northern urban areas of my country, central heating is an important way to increase the indoor temperature of residential buildings and ensure a comfortable indoor environment in winter, but it inevitably leads to an increase in building energy consumption. According to statistics, in 2015, heating energy consumption in urban areas in northern my country accounted for 22% of the total energy consumption of buildings. Therefore, under the social background of low-carbon and environmental protection development, it is of great significance to reduce building heating loss and improve the efficiency of heating system to reduce building energy consumption. [0003] For the building heating system, the building heat supply directly determines the energy consumptio...

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Problems solved by technology

[0005] In view of this, the present invention provides an uncertainty-based calculation method for residential building heat supply to solve the problem of building heat supply calculation when the results of multi-user room temperature monitoring are inconsistent during the operation of the residential building heating system

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