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

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 beha...

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Bibliographic Details
Published inBuilding and environment Vol. 43; no. 4; pp. 610 - 619
Main Authors Tanimoto, Jun, Hagishima, Aya, Sagara, Hiroki
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.04.2008
Subjects
Markov process
Occupant behavior
Peak load
Scheduling
Markov process
Scheduling
Occupant behavior
Peak load
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Summary: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.
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ISSN:0360-1323
1873-684X
DOI:10.1016/j.buildenv.2006.06.034