論文

査読有り
2017年8月

Analysis of the impact of regional temperature pattern on the energy consumption in the commercial sector in Japan

ENERGY AND BUILDINGS
  • Yujiro Hirano
  • ,
  • Kei Gomi
  • ,
  • Shogo Nakamura
  • ,
  • Yukiko Yoshida
  • ,
  • Daisuke Narumi
  • ,
  • Tsuyoshi Fujita

149
開始ページ
160
終了ページ
170
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.enbuild.2017.05.054
出版者・発行元
ELSEVIER SCIENCE SA

We conducted this study to clarify the impact of regional climatic conditions on the energy consumption in the commercial sector, in Japan. For this research, we utilized the Database for the Energy Consumption of Commercial Buildings (DECC), which provided data on the individual buildings. The existing energy consumption pattern derived from the individual building data seems to have large variations depending on climatic conditions. Therefore, in this research, connections were made between the seasonal fluctuations in energy consumption as well as the seasonal temperature changes, in order to extract the components of variation due to temperature, and make a regional comparison. In addition, we prepared estimating equations for the energy consumption based on temperature. By applying the regional temperature data to these equations, the impact of temperature alone was extracted for comparison. The results showed that, for the types of buildings addressed in this research, even though there is a regionality to the ratio of increments during summer and winter with regard to heating and cooling, it is offset by summing them up. In this research, we were able to roughly determine the level of fluctuations in the energy consumption as an impact of temperature. (C) 2017 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.enbuild.2017.05.054
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000406983500016&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.enbuild.2017.05.054
  • ISSN : 0378-7788
  • eISSN : 1872-6178
  • Web of Science ID : WOS:000406983500016

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