事務所建物のエネルギー消費原単位の熱源設備別分析 −DECC平成21年度調査データによる分析−

井城 依真; 須藤 諭; 吉野 博; 村上 周三; 坊垣 和明; 松縄 堅; 亀谷 茂樹; 高口 洋人; 半澤 久; 奥宮 正哉; 浅野 良晴; 下田 吉之; 村川 三郎; 依田 浩敏

doi:10.3130/aijt.19.1017

Environmental Engineering

ANALYSIS OF THE ENERGY CONSUMPTION RATE OF OFFICE BUILDINGS BY THE TYPE OF HEAT SOURCE EQUIPMENTS

−Analysis on 2009 fiscal year of DECC survey data−

Yorimasa IKI, Satoshi SUDO, Hiroshi YOSHINO, Shuzo MURAKAMI, Kazuaki BOGAKI, Katashi MATUNAWA, Shigeki KAMETANI, Hiroto TAKAGUCHI, Hisashi HANZAWA, Masaya OKUMIYA, Yoshiharu ASANO, Yoshiyuki SHIMODA, Saburo MURAKAWA, Hirotoshi YODA

Author information

Yorimasa IKI
Faculty of Sci. and Tech., Tohoku Bunka-Gakuen Univ.
Satoshi SUDO
Faculty of Sci. and Tech., Tohoku Bunka-Gakuen Univ.
Hiroshi YOSHINO
Graduate School of Eng., Tohoku Univ.
Shuzo MURAKAMI
Inst. for Building Environ. and Energy Cons.
Kazuaki BOGAKI
Faculty of Urban Life Studies, Tokyo City Univ.
Katashi MATUNAWA
Nikken Sekkei Research Institute
Shigeki KAMETANI
Ocean Sci., Tokyo Univ. of Marine Sci. and Tech.
Hiroto TAKAGUCHI
Faculty of Sci. and Eng., Waseda Univ.
Hisashi HANZAWA
Depart. of Arch., Faculty of Creative Eng., Hokkaido Institute of Tech.
Masaya OKUMIYA
Grad. Sch. of Environ. Studies, Nagoya Univ.
Yoshiharu ASANO
Depart. of Arch., Faculty of Eng., Shinshu Univ.
Yoshiyuki SHIMODA
Grad. Sch. of Eng., Osaka Univ.
Saburo MURAKAWA
Hiroshima Univ.
Hirotoshi YODA
Faculty of Humanity-Oriented Sci. and Eng., Kinki Univ.

Keywords: Office buildings, Base-load rate, Fluctuation-load rate, Multiple regression analysis, Heat source equipments

JOURNAL FREE ACCESS

2013 Volume 19 Issue 43 Pages 1017-1022

DOI https://doi.org/10.3130/aijt.19.1017

Details

Abstract

In this study, we aimed to confirm whether it is possible to improve the accuracy of the estimation equations of energy consumption rate of office buildings.
By the difference in the type of heat source equipment, we classified the DECC survey data of 2009 fiscal year into three categories: “the electrical type”, “the fuel-based type with boiler” and “the fuel-based type without boiler”.
As a result, using the multiple regression analysis, we were able to obtain more accurate estimation equations than before except for summer fluctuation-load rate in the electrical type.

Corresponding author

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