Energy consumption prediction method for urban residential building system in cold region

Abstract

The invention discloses an energy consumption prediction method for an urban residential building system in a cold region. The method comprises the following steps: calculating to obtain heat transferheat consumption and air permeation heat of an enclosure structure; calculating the heat / cold consumption of each month in each ten-day period of the heating / cooling period of the single building; building energy consumption simulation software DeST-h is adopted to respectively simulate and analyze the influence of each factor on energy consumption; establishing a regression equation between thebuilding energy consumption index and each influence factor; establishing an energy consumption influence factor database; calculating the energy consumption of a family in a single building, and carrying out correlation analysis; obtaining annual energy consumption model fitting data by using a multiple regression model; according to the method, comprehensive analysis and prediction are carried out by taking the heat transfer heat consumption of the enclosure structure and the air permeation heat as energy consumption factors; in combination with calculation and analysis of related data suchas building data and measured data in the urban residential building system in the cold region, the obtained fitting data is more suitable for predicting the energy consumption of the building system,and the prediction result is high in precision.

Description

technical field [0001] The invention relates to the field of construction, in particular to a method for predicting energy consumption of urban residential building systems in cold regions. Background technique [0002] Urban building energy consumption occupies an important proportion in the overall urban energy consumption, and with the improvement of people's living standards, the energy consumption of urban residential building systems has shown a trend of substantial growth. At present, the research on the energy consumption of residential buildings mostly focuses on the scale of individual buildings, and the overall energy consumption model of the residential building system at the urban scale is still in the initial theoretical stage and has not been widely applied and promoted; [0003] From the perspective of the energy consumption of urban residential buildings in cold regions throughout the year, the main energy consumption in summer is the energy consumption of b...

AI Technical Summary

Problems solved by technology

At the same time, the building energy consumption level is also affected by the energy consumption habits of the occupants. At present, there are not many methods for monitoring and calculating the annual energy consumption of residential buildings during the operation phase. Most of the energy consumption calculations of residential buildings are done through computer software in the architectural design stage. Simulating the energy consumption of individual buildings leads to incomplete prediction results and poor accuracy of the prediction results. There is a lack of a method for comprehensively predicting the energy consumption of existing urban residential buildings from multiple perspectives. Therefore, the present invention proposes a Energy consumption prediction method for urban residential building systems in cold regions to address deficiencies in existing technologies