Multi-objective optimization of the geometry of single-family housing to improve thermal performance
Brazil's current housing deficit exceeds 6 million homes and a demand of 10 million homes for low-income families is expected by 2040. On the other hand, during the last 10 years, approximately 850,000 social housing units have been delivered through the "My House, My Life" Program -...
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ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2021
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ojs-article-1057442021-03-12T21:59:21Z Multi-objective optimization of the geometry of single-family housing to improve thermal performance Berleze, Angélica Saccol Brasileiro, Alice de Barros Horizonte Silvoso, Marcos Martinez Social housing; Thermal performance; Parametric Tools; Multi-objective optimization; Genetic algorithms. Brazil's current housing deficit exceeds 6 million homes and a demand of 10 million homes for low-income families is expected by 2040. On the other hand, during the last 10 years, approximately 850,000 social housing units have been delivered through the "My House, My Life" Program - (Programa Minha Casa, Minha Vida – PMCMV). Despite these numbers, several studies suggest some problems related to the low quality of the houses. This article aims to investigate the design parameter related to the geometry of social housing in Chapecó/SC, Brazil, which contributes to the achievement of the best thermal performance. Parametric methods and multi-objective optimizations were utilized, two objective-functions were optimized regarding the degree-hours for cooling and heating. The results showed significant improvements, reaching up to 98% during the hot period and 49% during the cold period. Guidelines were defined to assist architects in the early-phases of the social housing design based on the climate of the target region. However, the best design solutions for thermal comfort throughout the year can only be indicated with computational methods. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2021-03-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://seer.ufrgs.br/ambienteconstruido/article/view/105744 Ambiente Construído; v. 21, n. 2 (2021); 41-65 Ambiente Construído; v. 21, n. 2 (2021); 41-65 Ambiente Construído; v. 21, n. 2 (2021); 41-65 1678-8621 1415-8876 eng https://seer.ufrgs.br/ambienteconstruido/article/view/105744/60988 Direitos autorais 2021 Ambiente Construído https://creativecommons.org/licenses/by/4.0 |
| institution |
Universidade Federal do Rio Grande do Sul |
| collection |
OJS |
| language |
eng |
| format |
Online |
| author |
Berleze, Angélica Saccol Brasileiro, Alice de Barros Horizonte Silvoso, Marcos Martinez |
| spellingShingle |
Berleze, Angélica Saccol Brasileiro, Alice de Barros Horizonte Silvoso, Marcos Martinez Multi-objective optimization of the geometry of single-family housing to improve thermal performance |
| author_facet |
Berleze, Angélica Saccol Brasileiro, Alice de Barros Horizonte Silvoso, Marcos Martinez |
| author_sort |
Berleze, Angélica Saccol |
| title |
Multi-objective optimization of the geometry of single-family housing to improve thermal performance |
| title_short |
Multi-objective optimization of the geometry of single-family housing to improve thermal performance |
| title_full |
Multi-objective optimization of the geometry of single-family housing to improve thermal performance |
| title_fullStr |
Multi-objective optimization of the geometry of single-family housing to improve thermal performance |
| title_full_unstemmed |
Multi-objective optimization of the geometry of single-family housing to improve thermal performance |
| title_sort |
multi-objective optimization of the geometry of single-family housing to improve thermal performance |
| description |
Brazil's current housing deficit exceeds 6 million homes and a demand of 10 million homes for low-income families is expected by 2040. On the other hand, during the last 10 years, approximately 850,000 social housing units have been delivered through the "My House, My Life" Program - (Programa Minha Casa, Minha Vida – PMCMV). Despite these numbers, several studies suggest some problems related to the low quality of the houses. This article aims to investigate the design parameter related to the geometry of social housing in Chapecó/SC, Brazil, which contributes to the achievement of the best thermal performance. Parametric methods and multi-objective optimizations were utilized, two objective-functions were optimized regarding the degree-hours for cooling and heating. The results showed significant improvements, reaching up to 98% during the hot period and 49% during the cold period. Guidelines were defined to assist architects in the early-phases of the social housing design based on the climate of the target region. However, the best design solutions for thermal comfort throughout the year can only be indicated with computational methods. |
| publisher |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído |
| publishDate |
2021 |
| url |
https://seer.ufrgs.br/ambienteconstruido/article/view/105744 |
| work_keys_str_mv |
AT berlezeangelicasaccol multiobjectiveoptimizationofthegeometryofsinglefamilyhousingtoimprovethermalperformance AT brasileiroalicedebarroshorizonte multiobjectiveoptimizationofthegeometryofsinglefamilyhousingtoimprovethermalperformance AT silvosomarcosmartinez multiobjectiveoptimizationofthegeometryofsinglefamilyhousingtoimprovethermalperformance |
| _version_ |
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