Analysis and study of annual cooling consumption indicator of nearly zero energy residential buildings
Li Wentao[1][2], Liu Yan[1][2], Yang Liu[1][2], Yu Ying[1][2], Yuan Shanshan[3][4]
This paper selects two typical year meteorological data sets in China, uses the clustering algorithm to analyse the distribution of annual cooling consumption in the national region, and explores the influence of the updated conditions of typical annual meteorological data on the annual cooling consumption of different regions. In view of the fact that the specific index limits of the annual cooling consumption are not given in the Technical standard for nearly zero energy buildings and the control parameter WDH20 and DDH28 are not easy to obtain and inconvenient to calculate in engineering design, with reference to the limitation of the relevant energy efficiency indexes in the standard, combined with the building thermal design zoning, the annual cooling consumption is analysed and compared. The index reference range of annual cooling consumption under the secondary zoning of building thermal design is given.