Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14723
DC FieldValueLanguage
dc.contributorDepartment of Building Services Engineering-
dc.creatorMui, KW-
dc.creatorWong, LT-
dc.date.accessioned2015-06-23T09:05:45Z-
dc.date.available2015-06-23T09:05:45Z-
dc.identifier.issn0360-1323-
dc.identifier.urihttp://hdl.handle.net/10397/14723-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectCooling load calculationen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectOccupant loaden_US
dc.subjectRadiant time series (RTS)en_US
dc.titleCooling load calculations in subtropical climateen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2498-
dc.identifier.epage2504-
dc.identifier.volume42-
dc.identifier.issue7-
dc.identifier.doi10.1016/j.buildenv.2006.07.006-
dcterms.abstractHeating, ventilation and air-conditioning (HVAC) system is the major electricity consumer in an air-conditioned building; therefore, an accurate cooling load calculation method is indispensable. ASHRAE has developed a Radiant Time Series (RTS) method to improve the accuracy of cooling load calculation. However, outdoor design conditions and occupant load patterns vary with the buildings and cities. This study discusses the development of a new example weather year and a mathematical model to generate design occupant load profiles using Monte Carlo simulation for a subtropical climate. The results would be useful for determining the HVAC energy consumption in buildings in order to obtain more representative data for the prediction of annual energy consumption.-
dcterms.bibliographicCitationBuilding and environment, 2007, v. 42, no. 7, p. 2498-2504-
dcterms.isPartOfBuilding and environment-
dcterms.issued2007-
dc.identifier.isiWOS:000245295900005-
dc.identifier.scopus2-s2.0-33847009542-
dc.identifier.eissn1873-684X-
dc.identifier.rosgroupidr32452-
dc.description.ros2006-2007 > Academic research: refereed > Publication in refereed journal-
Appears in Collections:Journal/Magazine Article
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

SCOPUSTM   
Citations

42
Last Week
0
Last month
0
Citations as of Sep 6, 2020

WEB OF SCIENCETM
Citations

32
Last Week
0
Last month
Citations as of Oct 20, 2020

Page view(s)

175
Last Week
3
Last month
Citations as of Oct 26, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.