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

Jun Tanimoto, Aya Hagishima, Hiroki Sagara

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)610-619
Number of pages10
JournalBuilding and Environment
Volume43
Issue number4
DOIs
Publication statusPublished - Apr 2008

All Science Journal Classification (ASJC) codes

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

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