Regional building energy consumption predicting method

Abstract

The invention discloses a regional building energy consumption predicting method. The regional building energy consumption predicting method comprises the steps of: S1, acquiring an annual energy consumption data sample set of buildings as data for building energy consumption prediction; S2, calculating cooling and heating loads of individual buildings, respectively, according to form of terminal air conditioners and heating equipment of the buildings; S3, calculating the energy consumption of cold and heat source related energy-consuming equipment of the buildings according to the cooling and heating loads of the individual buildings; S4, calculating the energy consumption of illumination equipment of the individual buildings; S5, calculating the energy consumption of electric equipment of the individual buildings; S6, calculating the energy consumption of power equipment of the individual buildings; S7, accumulating the energy consumption obtained in the steps S3, S4, S5 and S6 to obtain the annual energy consumption of the individual buildings; and S8, calculating the total energy consumption of all buildings in the region according to the annual energy consumption of the individual building. The method disclosed by the invention breaks through the limitation that for single building energy consumption prediction, an energy station is taken as a node, establishes an energy consumption predication calculating model of a building group in the region, and can provide a reliable ground for overall planning and management of regional energy sources.

Description

technical field [0001] The invention relates to the field of energy, in particular to a method for predicting energy consumption of regional buildings. Background technique [0002] Among the main energy consumers in my country, the proportion of building energy consumption has reached more than 30%, and the greenhouse gases produced by building energy consumption account for more than 25% of my country's total greenhouse gas emissions. With the development of society, my country's building energy consumption The total amount of greenhouse gases it produces will continue to rise. Therefore, under the background of deteriorating energy and environmental problems, building energy conservation has become one of the hot spots of common concern in the whole society. Accurate and effective prediction of building energy consumption is of great significance for early regional energy planning, optimal design of building energy conservation, and later building operation management. S...

AI Technical Summary

Problems solved by technology

Since the building energy consumption system involves the heat and moisture transfer process with complex mechanisms, it is a typical multivariable, nonlinear, and strongly coupled multi-disturbance complex system. It is very difficult to establish a building energy consumption prediction model based on the heat and moisture transfer mechanism.

In the prior art, a single building energy consumption prediction method is generally used. This method has a single prediction and the accuracy of the results is poor. It cannot provide a reliable basis for the overall planning and management of regional energy.

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