File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A combined fully-resolved and porous approach for building cluster wind flows

TitleA combined fully-resolved and porous approach for building cluster wind flows
Authors
Issue Date2016
PublisherSpringer. The Journal's web site is located at http://www.springerlink.com/content/1996-3599/
Citation
Building Simulation, 2016 How to Cite?
AbstractIn wind flow simulations, a full resolution of all the buildings in a large city is difficult to achieve due to the constraints on computing power. This paper explores a possible approach to modeling part of the urban built area as a porous medium, while fully resolving the areas of the targeted buildings for analysis. We refer to this approach as the mixed model, and we have evaluated it by comparisons with other generally used simulation methods. In all of the three cases we examined, the central section, including the targeted buildings, was fully resolved, and the two adjacent areas were modeled in one of the following three ways: (1) fully resolved (the B&B case, which was assumed to be the most accurate), (2) modeled as a porous medium (the P&B case, which was our proposed mixed model), or (3) modeled with roughness height (the C&B case, which has been the most commonly adopted approach). We found that the P&B case predictions were more efficient and accurate than those of the C&B case, and they required less computer power than the B&B case, but had similar accuracy to predictions from the B&B case. These results show that the new mixed modeling approach presents the possibility of simulating the entire city by using porous turbulence models that requires no more than the currently available computational capability, thereby expanding the scope of simulations without losing the main characteristics of the target area.
Persistent Identifierhttp://hdl.handle.net/10722/232002

 

DC FieldValueLanguage
dc.contributor.authorWang, X-
dc.contributor.authorLi, Y-
dc.contributor.authorHang, J-
dc.date.accessioned2016-09-20T05:26:55Z-
dc.date.available2016-09-20T05:26:55Z-
dc.date.issued2016-
dc.identifier.citationBuilding Simulation, 2016-
dc.identifier.urihttp://hdl.handle.net/10722/232002-
dc.description.abstractIn wind flow simulations, a full resolution of all the buildings in a large city is difficult to achieve due to the constraints on computing power. This paper explores a possible approach to modeling part of the urban built area as a porous medium, while fully resolving the areas of the targeted buildings for analysis. We refer to this approach as the mixed model, and we have evaluated it by comparisons with other generally used simulation methods. In all of the three cases we examined, the central section, including the targeted buildings, was fully resolved, and the two adjacent areas were modeled in one of the following three ways: (1) fully resolved (the B&B case, which was assumed to be the most accurate), (2) modeled as a porous medium (the P&B case, which was our proposed mixed model), or (3) modeled with roughness height (the C&B case, which has been the most commonly adopted approach). We found that the P&B case predictions were more efficient and accurate than those of the C&B case, and they required less computer power than the B&B case, but had similar accuracy to predictions from the B&B case. These results show that the new mixed modeling approach presents the possibility of simulating the entire city by using porous turbulence models that requires no more than the currently available computational capability, thereby expanding the scope of simulations without losing the main characteristics of the target area.-
dc.languageeng-
dc.publisherSpringer. The Journal's web site is located at http://www.springerlink.com/content/1996-3599/-
dc.relation.ispartofBuilding Simulation-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/[insert DOI]-
dc.titleA combined fully-resolved and porous approach for building cluster wind flows-
dc.typeArticle-
dc.identifier.emailWang, X: xiaoxue@hku.hk-
dc.identifier.emailLi, Y: liyg@hkucc.hku.hk-
dc.identifier.authorityLi, Y=rp00151-
dc.identifier.doi10.1007/s12273-016-0305-4-
dc.identifier.hkuros266081-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats