TY - JOUR
T1 - A study on the characteristics of energy consumption for welfare facilities based on the database of energy consumption for commercial buildings (DECC)
AU - Ikeda, Daisuke
AU - Murakawa, Saburo
AU - Nishina, Daisaku
AU - Murakami, Syuzo
AU - Bogaki, Kazuaki
AU - Matsunawa, Katashi
AU - Kametani, Shigeki
AU - Takaguchi, Hiroto
AU - Hanzawa, Hisashi
AU - Yoshino, Hiroshi
AU - Asano, Yoshiharu
AU - Okumiya, Masaya
AU - Shimoda, Yoshiyuki
AU - Yoda, Hirotoshi
PY - 2011/12
Y1 - 2011/12
N2 - This study is a part of the project that aims to construct the database for energy consumption of commercial buildings on the national scale. The purpose of this study is to obtain the basic data for energy consumption in the welfare facilities for the most of aged persons. The authors classified the buildings into two types of the residential and non-residential facility, and showed the attributes and energy consumption in each type. On the basis of these results, the factors that will have effect on the energy consumption for the unit of floor area in each type were clarified by the technique of multiple regression analysis. Furthermore, the relationships between the outside mean air temperature in each area and the monthly mean energy consumption in each facility were analyzed. After the monthly values of energy consumption wereclassified into the non-varied part through a year and the varied parts in summer and winter, the effect of the outside air temperature on each part was clarified by the multiple regression analysis.
AB - This study is a part of the project that aims to construct the database for energy consumption of commercial buildings on the national scale. The purpose of this study is to obtain the basic data for energy consumption in the welfare facilities for the most of aged persons. The authors classified the buildings into two types of the residential and non-residential facility, and showed the attributes and energy consumption in each type. On the basis of these results, the factors that will have effect on the energy consumption for the unit of floor area in each type were clarified by the technique of multiple regression analysis. Furthermore, the relationships between the outside mean air temperature in each area and the monthly mean energy consumption in each facility were analyzed. After the monthly values of energy consumption wereclassified into the non-varied part through a year and the varied parts in summer and winter, the effect of the outside air temperature on each part was clarified by the multiple regression analysis.
KW - Commercial buildings
KW - Energy consumption for the unit of floor area
KW - Multiple regression analysis
KW - Welfare facilities
UR - http://www.scopus.com/inward/record.url?scp=84867274002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867274002&partnerID=8YFLogxK
U2 - 10.3130/aije.76.1109
DO - 10.3130/aije.76.1109
M3 - Article
AN - SCOPUS:84867274002
SN - 1348-0685
VL - 76
SP - 1109
EP - 1117
JO - Journal of Environmental Engineering, ASCE
JF - Journal of Environmental Engineering, ASCE
IS - 670
ER -