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Computational analysis of wind interactions for comparing different buildings sites in terms of natural ventilation

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Computational analysis of wind interactions for comparing different buildings sites in terms of natural ventilation

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dc.contributor.author Mora Pérez, Miguel es_ES
dc.contributor.author Guillén Guillamón, Ignacio Enrique es_ES
dc.contributor.author López Jiménez, Petra Amparo es_ES
dc.date.accessioned 2016-10-04T10:27:50Z
dc.date.available 2016-10-04T10:27:50Z
dc.date.issued 2015-10
dc.identifier.issn 0965-9978
dc.identifier.uri http://hdl.handle.net/10251/71102
dc.description.abstract Nowadays building designers have to face up to new strategies to achieve the best sustainable building designs. Well planned natural ventilation strategies in building design may contribute to a significant reduction on building s energy consumption. Natural ventilation strategies are conditioned to the particular location of each building. To improve natural ventilation performance of a building, the analysis of the influence of the location and the surrounding buildings on wind flow paths around the design building is a must. New computational tools such as Computational Fluid Dynamics (CFD) are particularly suited for modelling outdoor wind conditions and the influence on indoor air conditions prior to building construction. Hence, reliable methodologies are necessary to support building design decisions related to naturally ventilated buildings prior to construction. This paper presents a case study for the selection of the best future building location attending to natural ventilation behaviour inside the building, conditioned by different evolving environment. A validated CFD model is used to represent outdoor and indoor spaces. The methodology explains how to qualitatively and quantitatively analyze wind paths around and through a building to quantify the natural ventilation performance. The best location, from two real possible solutions, is then selected. es_ES
dc.description.sponsorship The present study was carried out within the frame of "EDIFICACION ECO EFICIENTE, E3" (E3 echo efficient building design) research programme, which was partly financed by CDTI: "Proyectos Tecnologicos de Empresas" (companies technical projects) and a consortium of companies formed by BECSA, Rockwool Peninsular, CERACASA, ApliCAD and ATERSA. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation CDTI: "Proyectos Tecnologicos de Empresas" es_ES
dc.relation.ispartof Advances in Engineering Software es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Natural ventilation es_ES
dc.subject Computational Fluid Dynamics (CFD) es_ES
dc.subject Building design stage es_ES
dc.subject Urban planning es_ES
dc.subject Computational analysis es_ES
dc.subject Comfort es_ES
dc.subject.classification MECANICA DE FLUIDOS es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Computational analysis of wind interactions for comparing different buildings sites in terms of natural ventilation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.advengsoft.2015.06.003
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Mora Pérez, M.; Guillén Guillamón, IE.; López Jiménez, PA. (2015). Computational analysis of wind interactions for comparing different buildings sites in terms of natural ventilation. Advances in Engineering Software. 88:73-82. doi:10.1016/j.advengsoft.2015.06.003 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.advengsoft.2015.06.003 es_ES
dc.description.upvformatpinicio 73 es_ES
dc.description.upvformatpfin 82 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 88 es_ES
dc.relation.senia 301547 es_ES
dc.identifier.eissn 1873-5339


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