Comfort reliability evaluation of building designs by stochastic hygrothermal simulation
- Autores
- Sulaiman, Halimi Cristina; Olsina, Fernando Gabriel
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
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
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 - Materia
-
Building Simulation
Discomfort
Monte Carlo
Risk
Thermal Design - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/37199
Ver los metadatos del registro completo
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Comfort reliability evaluation of building designs by stochastic hygrothermal simulationSulaiman, Halimi CristinaOlsina, Fernando GabrielBuilding SimulationDiscomfortMonte CarloRiskThermal Designhttps://purl.org/becyt/ford/2.1https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.3https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Outdoor 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.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; ArgentinaFil: Olsina, Fernando Gabriel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaPergamon-Elsevier Science Ltd.2014-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37199Sulaiman, 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; 171-1841364-0321CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.rser.2014.07.162info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1364032114006145info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:02:42Zoai:ri.conicet.gov.ar:11336/37199instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:02:43.065CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation |
title |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation |
spellingShingle |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation Sulaiman, Halimi Cristina Building Simulation Discomfort Monte Carlo Risk Thermal Design |
title_short |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation |
title_full |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation |
title_fullStr |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation |
title_full_unstemmed |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation |
title_sort |
Comfort reliability evaluation of building designs by stochastic hygrothermal simulation |
dc.creator.none.fl_str_mv |
Sulaiman, Halimi Cristina Olsina, Fernando Gabriel |
author |
Sulaiman, Halimi Cristina |
author_facet |
Sulaiman, Halimi Cristina Olsina, Fernando Gabriel |
author_role |
author |
author2 |
Olsina, Fernando Gabriel |
author2_role |
author |
dc.subject.none.fl_str_mv |
Building Simulation Discomfort Monte Carlo Risk Thermal Design |
topic |
Building Simulation Discomfort Monte Carlo Risk Thermal Design |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.1 https://purl.org/becyt/ford/2 https://purl.org/becyt/ford/2.3 https://purl.org/becyt/ford/2 https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. 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 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 |
description |
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. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/37199 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 1364-0321 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/37199 |
identifier_str_mv |
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 1364-0321 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rser.2014.07.162 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1364032114006145 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd. |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd. |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |