A methodology for peak energy requirement considering actual variation of occupants' behavior schedules

Jun Tanimoto, Aya Hagishima, Hiroki Sagara

研究成果: ジャーナルへの寄稿学術誌査読

79 被引用数 (Scopus)

抄録

A novel methodology to accurately estimate the cooling demand in residential units is proposed, as a means of providing a better assessment of urban heat-island effects attributable to the use of residential air-conditioning units. The methodology integrates probabilistic variations in occupant behavior, which is shown to be a significant factor in estimated residential cooling requirements. The methodology consists of two key features. The first is an algorithm that generates short-term events that are likely to occur in a residential context, based on published data on occupant behavior. The second is a Monte Carlo approach to cooling load calculations based on stochastic variations in these short-term events and in the consequent likelihood of switching air-conditioning on or off.

本文言語英語
ページ(範囲)610-619
ページ数10
ジャーナルBuilding and Environment
43
4
DOI
出版ステータス出版済み - 4月 2008

!!!All Science Journal Classification (ASJC) codes

  • 環境工学
  • 土木構造工学
  • 地理、計画および開発
  • 建築および建設

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