Mostrar el registro sencillo del ítem

dc.contributor.author
Sulaiman, Halimi Cristina  
dc.contributor.author
Olsina, Fernando Gabriel  
dc.date.available
2018-02-26T21:36:25Z  
dc.date.issued
2014-12  
dc.identifier.citation
Sulaiman, Halimi Cristina; Olsina, Fernando Gabriel; Comfort reliability evaluation of building designs by stochastic hygrothermal simulation; Pergamon-Elsevier Science Ltd.; Renewable & Sustainable Energy Reviews; 40; 12-2014; 171-184  
dc.identifier.issn
1364-0321  
dc.identifier.uri
http://hdl.handle.net/11336/37199  
dc.description.abstract
Outdoor climate jointly with architectonic design, housing materials, and construction system determine thermal performance of buildings and their ability to deliver comfortable conditions to occupants. Buildings must provide comfortable indoor environment which should be reasonably assured regardless of outdoor weather fluctuations. This paper presents a methodology for quantitatively measuring the hygrothermal discomfort risk of any building design. By combining a numeric model of the building hygrothermal response with stochastic simulation techniques, occurrence probability, expected frequency and duration of discomfort events in each thermal zone can be estimated. The article presents fundamental notions on probabilistic hygrothermal risk assessment, describes the developed numerical simulation models and introduces comfort reliability indexes. In order to illustrate the practicability of the proposed approach in the context of the design process, the methodology was applied to a prototype of a residential house conventionally built and acclimatized. The materials and construction system reflect typical residential housing in the region of study. A bioclimatic variant of the same building design is also evaluated. Monte Carlo simulations of the building's thermal response under stochastic weather conditions allow identifying infrequent but critical situations in which the building is unable to meet comfort requirements. Statistical analysis of simulation results is performed and condensed in meaningful probabilistic indices for objectively measuring comfort reliability. By means of these metrics, shortcoming of the architectonic design can be revealed and properly amended. In addition, comfort reliability and risk indices facilitate the comparison of alternative thermal building designs on a fair basis. The proposed methodology and the developed models are general and they can be applied without constraints to any building design under a wide variety of climates.©2014 Published by Elsevier Ltd.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd.  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Building Simulation  
dc.subject
Discomfort  
dc.subject
Monte Carlo  
dc.subject
Risk  
dc.subject
Thermal Design  
dc.subject.classification
Otras Ingeniería Civil  
dc.subject.classification
Ingeniería Civil  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.subject.classification
Ingeniería Mecánica  
dc.subject.classification
Ingeniería Mecánica  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.subject.classification
Matemática Pura  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-02-26T15:07:26Z  
dc.journal.volume
40  
dc.journal.pagination
171-184  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Sulaiman, Halimi Cristina. Universidad Nacional de San Juan. Facultad de Arquitectura, Urbanismo y Diseño. Instituto Regional de Planeamiento y Habitat; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Olsina, Fernando Gabriel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Renewable & Sustainable Energy Reviews  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.rser.2014.07.162  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1364032114006145