The results ot the statistics analysis for the energy consu 皿Ption rate in depart 皿ent stores are described . Different fro皿 previous studies , the influence factors for the amount of energy consumption such as the building district , the
The results of the statistics analysis for し he energy consumPtion rate for office buildings are described . Differenし fro皿 previous studies , the influence factors for the amouilt of energy consump 員 on such as the buHding district , the compietion year , variation of the refrlgeration equ [ pment and he. at ' ing equipment , the effective HVAC area and rate of energy sources were consldered on the analysis for gisa 皿Ples . The regression equation for predicted energy consumPtion rate witb dependentvariab [ es of operating time forHVAC, number of floor level , and instalIation of air − source heat − pu皿P was obtained . 91 samPles were grouped into typica1 5 classes according to the variables of numberof floor levei 、 rate ofenergy sources and lnstaUat [ on of air − source heat − PumP and average energyconsumption rate of each groupwas clarified . Keywords ' buitdings for business use . energy consumprion rate . ofice buildings , substantialfloor area , muttipte regression analysis
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