Traditional climatic zoning method divides China into 5 building thermal design zones by taking average temperatures of the coldest and hottest months, as well as accumulated temperature days in a year as the key indices. The method may not properly reflect the real building thermal characteristics. This paper therefore proposes a novel building thermal design zoning method based on the clustering of building indoor thermal performances of a typical commercial building model under different climates across China. K-Means method is adopted for clustering process. Three representative cities are selected to analyses the dynamic characteristics of thermal loads. Meanwhile, a new building thermal design zoning map is eventually developed, and thermal load patterns of the selected cities are also identified.
Keywords climatic zoning, thermal load patterns, thermal performance, K-Means clustering, commercial building