Study on Predication of Air-conditioning Energy Consumption in University Teaching Buildings

Abstract

In this paper, the summer air conditioning cooling load of a university teaching building in Beijing is analyzed by orthogonal experiment and DeST energy consumption simulation method, and the primary and secondary relationship and significance level of the factors affecting cooling load are obtained, which can provide energy-saving design Focus. At the same time, through regression analysis of the test results, the summer cooling load prediction equation of the teaching building is obtained, and the error analysis of the equation is performed to verify the linear correlation of the equation. The prediction equation can be used to quickly and simply evaluate and analyze the effects of different design strategies on teaching the influence of building summer cooling load.