File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Investigating potential of natural driving forces for ventilation in four major cities in China

TitleInvestigating potential of natural driving forces for ventilation in four major cities in China
Authors
KeywordsChina
Natural ventilation
Natural ventilation potential
Prediction method
Pressure difference Pascal hours
Issue Date2005
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenv
Citation
Building And Environment, 2005, v. 40 n. 6, p. 738-746 How to Cite?
AbstractThe potential of natural driving forces for ventilation in buildings is the possibility for providing sufficient outdoor air by only natural ventilation. Based on the early work of Fracastoro et al. (Fourth international conference on indoor air quality, ventilation and energy conservation in buildings-IAQVEC, vol. III, Hong Kong: The City University of Hong Kong; 2001. p. 1421-9.), we develop a simple prediction model for this natural ventilation potential applicable to Chinese residential buildings, using a simple analytical model of natural ventilation considering the combined effect of wind and thermal buoyancy forces. Comparing with the existing method developed by Fracastoro et al. (2001), the present prediction does not need sophisticated multi-zone modeling calculations and the constants in the model are no longer variables. Using the weather data from International Weather for Energy Calculations (IWEC) into our simple prediction model, the natural ventilation potentials for low-rise residential buildings in four representative cities of China including Beijing in the north, Shanghai in the east, Guangzhou in the south and Urumqi in the northwest were analyzed. We introduced the concept of the pressure difference Pascal hours (PDPH) for natural ventilation, and PDPH was calculated and compared for four cities. A high PDPH value means a great potential for application of natural ventilation. In addition, hourly effective pressure differences can be obtained and analyzed statistically. This information can help the designers to determine the building opening size, or to assess whether or when mechanical ventilation is necessary. The application of the model can be a simple design tool at preliminary design stage. © 2004 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/75799
ISSN
2015 Impact Factor: 3.394
2015 SCImago Journal Rankings: 2.121
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYang, Len_HK
dc.contributor.authorZhang, Gen_HK
dc.contributor.authorLi, Yen_HK
dc.contributor.authorChen, Yen_HK
dc.date.accessioned2010-09-06T07:14:40Z-
dc.date.available2010-09-06T07:14:40Z-
dc.date.issued2005en_HK
dc.identifier.citationBuilding And Environment, 2005, v. 40 n. 6, p. 738-746en_HK
dc.identifier.issn0360-1323en_HK
dc.identifier.urihttp://hdl.handle.net/10722/75799-
dc.description.abstractThe potential of natural driving forces for ventilation in buildings is the possibility for providing sufficient outdoor air by only natural ventilation. Based on the early work of Fracastoro et al. (Fourth international conference on indoor air quality, ventilation and energy conservation in buildings-IAQVEC, vol. III, Hong Kong: The City University of Hong Kong; 2001. p. 1421-9.), we develop a simple prediction model for this natural ventilation potential applicable to Chinese residential buildings, using a simple analytical model of natural ventilation considering the combined effect of wind and thermal buoyancy forces. Comparing with the existing method developed by Fracastoro et al. (2001), the present prediction does not need sophisticated multi-zone modeling calculations and the constants in the model are no longer variables. Using the weather data from International Weather for Energy Calculations (IWEC) into our simple prediction model, the natural ventilation potentials for low-rise residential buildings in four representative cities of China including Beijing in the north, Shanghai in the east, Guangzhou in the south and Urumqi in the northwest were analyzed. We introduced the concept of the pressure difference Pascal hours (PDPH) for natural ventilation, and PDPH was calculated and compared for four cities. A high PDPH value means a great potential for application of natural ventilation. In addition, hourly effective pressure differences can be obtained and analyzed statistically. This information can help the designers to determine the building opening size, or to assess whether or when mechanical ventilation is necessary. The application of the model can be a simple design tool at preliminary design stage. © 2004 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenven_HK
dc.relation.ispartofBuilding and Environmenten_HK
dc.subjectChinaen_HK
dc.subjectNatural ventilationen_HK
dc.subjectNatural ventilation potentialen_HK
dc.subjectPrediction methoden_HK
dc.subjectPressure difference Pascal hoursen_HK
dc.titleInvestigating potential of natural driving forces for ventilation in four major cities in Chinaen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0360-1323&volume=40&spage=738&epage=746&date=2005&atitle=Investigating+potential+of+natural+driving+forces+for+ventilation+in+four+major+cities+in+Chinaen_HK
dc.identifier.emailLi, Y:liyg@hkucc.hku.hken_HK
dc.identifier.authorityLi, Y=rp00151en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.buildenv.2004.08.023en_HK
dc.identifier.scopuseid_2-s2.0-14044272055en_HK
dc.identifier.hkuros101404en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-14044272055&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume40en_HK
dc.identifier.issue6en_HK
dc.identifier.spage738en_HK
dc.identifier.epage746en_HK
dc.identifier.isiWOS:000227416300002-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridYang, L=34973508700en_HK
dc.identifier.scopusauthoridZhang, G=7405270070en_HK
dc.identifier.scopusauthoridLi, Y=7502094052en_HK
dc.identifier.scopusauthoridChen, Y=7601439014en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats