TY - JOUR
T1 - A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC)
T2 - Part 2
AU - Iki, Yorimasa
AU - Sudo, Satoshi
AU - Yoshino, Hiroshi
AU - Murakami, Shuzo
AU - Bogaki, Kazuaki
AU - Matsunawa, Katashi
AU - Kametani, Shigeki
AU - Takaguchi, Hiroto
AU - Hanzawa, Hisashi
AU - Okumiya, Masaya
AU - Asano, Yoshiharu
AU - Shimoda, Yoshiyuki
AU - Murakawa, Saburo
AU - Yoda, Hirotoshi
AU - Tanaka, Hideki
AU - Masuda, Yukihiro
PY - 2013/1
Y1 - 2013/1
N2 - In this study we aimed to identify characteristics of energy consumption of accommodation building by drawing on 2009 fiscal year of DECC survey data. Conducting statistical analysis on the base-load and the fluctuation-load on a national scale derived from patterns of variation in the monthly energy consumption, we obtained estimation equations for energy consumption rate. To determine the base-load rate, we focused on differences between heat-generation equipments in the accommodation buildings and classified them into three categories: electrical, fuel-based, and electric-fuel hybrid. We then carried out the multiple regression analysis for each category. As a result, we obtained accurate estimation equations for the electrical and the fuel-based heat-generation equipments. And to determine the summer and the winter fluctuation-load rate, we were able to obtain accurate estimation equations using the multiple regression analysis.
AB - In this study we aimed to identify characteristics of energy consumption of accommodation building by drawing on 2009 fiscal year of DECC survey data. Conducting statistical analysis on the base-load and the fluctuation-load on a national scale derived from patterns of variation in the monthly energy consumption, we obtained estimation equations for energy consumption rate. To determine the base-load rate, we focused on differences between heat-generation equipments in the accommodation buildings and classified them into three categories: electrical, fuel-based, and electric-fuel hybrid. We then carried out the multiple regression analysis for each category. As a result, we obtained accurate estimation equations for the electrical and the fuel-based heat-generation equipments. And to determine the summer and the winter fluctuation-load rate, we were able to obtain accurate estimation equations using the multiple regression analysis.
KW - Accommodation Building
KW - Base-Load
KW - Energy Consumption Rate
KW - Estimation Equation
KW - Fluctuation-Load
KW - Multiple Regression Analysis
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U2 - 10.3130/aije.78.45
DO - 10.3130/aije.78.45
M3 - Article
AN - SCOPUS:84878935548
SN - 1348-0685
VL - 78
SP - 45
EP - 54
JO - Journal of Environmental Engineering
JF - Journal of Environmental Engineering
IS - 683
ER -