A STUDY ON THE ESTIMATION OF ENERGY CONSUMPTION RATE OF ACCOMMODATION BUILDINGS

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  • IKI Yorimasa
    Research Assoc., Faculty of Sci. & Tech., Tohoku Bunka-Gakuen Univ.
  • SUDO Satoshi
    Prof., Faculty of Sci. & Tech., Tohoku Bunka-Gakuen Univ., Dr. Eng.
  • YOSHINO Hiroshi
    Prof., Grad. Sch. of Eng., Tohoku Univ., Dr. Eng.
  • MURAKAMI Shuzo
    Chief Executive, Institute for Building Environ. & Energy Conservation, Dr. Eng.
  • BOGAKI Kazuaki
    Prof., Faculty of Urban Life Studies, Tokyo City Univ., Dr. Eng.
  • MATSUNAWA Katashi
    Chairman of the Institute, Nikken Sekkei Research Institute
  • KAMETANI Shigeki
    Assoc. Prof., Ocean Sciences, Tokyo Univ. of Marine Sci. & Tech., Dr. Eng.
  • TAKAGUCHI Hiroto
    Prof., Faculty of Sci. and Eng., Waseda Univ., Dr. Eng.
  • HANZAWA Hisashi
    Prof., Dept. of Arch., Faculty of Creative Eng., Hokkaido Institute of Tech., Ph. D.
  • OKUMIYA Masaya
    Prof., Grad. Sch. of Environ. Studies, Nagoya Univ., Dr. Eng.
  • ASANO Yoshiharu
    Prof., Dept. of Arch., Faculty of Eng., Shinshu Univ., Dr. Eng.
  • SHIMODA Yoshiyuki
    Prof., Grad. Sch. of Eng., Osaka Univ., Dr. Eng.
  • MURAKAWA Saburo
    Prof. Special Appointment, The Institute for Sustainable Sci. and Development, Hiroshima Univ., Dr. Eng.
  • YODA Hirotoshi
    Prof., Faculty of Humanity-Oriented Sci. and Eng., Kinki Univ., Dr. Eng.
  • TANAKA Hideki
    Assoc. Prof., Dept. of Arch., College of Eng., Chubu Univ., Dr. Eng.
  • MASUDA Yukihiro
    Assoc. Prof., Grad. Sch. of Eng., Toyohashi Univ. of Tech., Dr. Eng.

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Other Title
  • 宿泊建物のエネルギー消費原単位の推定に関する研究
  • 宿泊建物のエネルギー消費原単位の推定に関する研究 : 非住宅建築物の環境関連データベースにおける平成21年度調査データによる分析(その2)
  • シュクハク タテモノ ノ エネルギー ショウヒ ゲン タンイ ノ スイテイ ニ カンスル ケンキュウ : ヒジュウタク ケンチクブツ ノ カンキョウ カンレン データベース ニ オケル ヘイセイ 21ネンド チョウサ データ ニ ヨル ブンセキ(ソノ 2)
  • —Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC) part 2—
  • －非住宅建築物の環境関連データベースにおける平成21年度調査データによる分析　その2－

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Abstract

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.<br> 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.

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