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記事

64 引用 (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.

元の言語英語
ページ(範囲)610-619
ページ数10
ジャーナルBuilding and Environment
43
発行部数4
DOI
出版物ステータス出版済み - 4 1 2008

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air conditioning
conditioning
Cooling
cooling
energy
Air conditioning
methodology
air
event
heat island
Thermal effects
heat
demand
calculation
effect

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Building and Construction

これを引用

A methodology for peak energy requirement considering actual variation of occupants' behavior schedules. / Tanimoto, Jun; Hagishima, Aya; Sagara, Hiroki.

:: Building and Environment, 巻 43, 番号 4, 01.04.2008, p. 610-619.

研究成果: ジャーナルへの寄稿記事

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