Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView

Environmental comfort in public school buildings is not often seen as a project requirement, due to the difficulty in considering all comfort-related architectural variables at once. This paper focuses on the level of illuminance in classrooms, by defining the importance and the relationship among v...

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Principais autores:	Pizarro, Paula Roberta, Lucas de Souza, Lea Cristina
Formato:	Online
Idioma:	por
Publicado em:	ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2008
Acesso em linha:	https://seer.ufrgs.br/ambienteconstruido/article/view/3730
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id	ojs-article-3730
record_format	ojs
spelling	ojs-article-37302008-04-28T15:05:04Z Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView Qualificação da iluminação natural em interiores: aplicação das redes neurais artificiais e 3DSkyView Pizarro, Paula Roberta Lucas de Souza, Lea Cristina Redes Neurais Artificiais; Conforto luminoso; Luz natural; Escolas; FVC Environmental comfort in public school buildings is not often seen as a project requirement, due to the difficulty in considering all comfort-related architectural variables at once. This paper focuses on the level of illuminance in classrooms, by defining the importance and the relationship among visual comfort variables. The research method consisted of the observation of the users’ behaviour under different conditions of illuminance levels in the environment. Two methodological tools have been applied: the 3DSkyView extension, which was used for determining sky view factors, and artificial neural networks, which were applied for modelling the relationships between variables. The results indicate that students are used to develop tasks, either under too high, or under too low illuminance levels. The sky view factor (SVF) has presented the highest relevance for visual comfort among all variables investigated, assuming an importance level of 21% in May and 37,1% in November. O conforto ambiental em arquitetura de escolas públicas não é considerado sistematicamente requisito de projeto, sendo um dos obstáculos a impossibilidade de maximizar todas as variáveis do conforto simultaneamente. Este artigo analisa o nível de iluminância de sala de aula, definindo a importância e as relações entre as variáveis do conforto luminoso. O método de pesquisa consiste em uma análise através da observação comportamental e medições dos níveis de iluminância no ambiente. Faz-se uso de duas ferramentas metodológicas: a extensão 3DSkyView, como forma de obter a variável Fator de Visão do Céu (fator de forma), e as Redes Neurais Artificiais, como ferramenta de modelagem das relações entre as variáveis levantadas. Os resultados mostraram que os estudantes estão habituados a realizar tarefas com valores de iluminância baixos ou altos demais. A variável fator de visão do céu (FVC) apresentou os maiores valores de importância para o conforto visual, sendo 21% para o mês de maio e 37,1% para o mês de novembro. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2008-04-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://seer.ufrgs.br/ambienteconstruido/article/view/3730 Ambiente Construído; v. 7, n. 1 (2007): Edição Especial Avaliação de Desempenho; 83-96 Ambiente Construído; v. 7, n. 1 (2007): Edição Especial Avaliação de Desempenho; 83-96 Ambiente Construído; v. 7, n. 1 (2007): Edição Especial Avaliação de Desempenho; 83-96 1678-8621 1415-8876 por https://seer.ufrgs.br/ambienteconstruido/article/view/3730/2082 Direitos autorais 2016 Ambiente Construído https://creativecommons.org/licenses/by/4.0
institution	Universidade Federal do Rio Grande do Sul
collection	OJS
language	por
format	Online
author	Pizarro, Paula Roberta Lucas de Souza, Lea Cristina
spellingShingle	Pizarro, Paula Roberta Lucas de Souza, Lea Cristina Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView
author_facet	Pizarro, Paula Roberta Lucas de Souza, Lea Cristina
author_sort	Pizarro, Paula Roberta
title	Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView
title_short	Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView
title_full	Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView
title_fullStr	Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView
title_full_unstemmed	Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView
title_sort	qualification of indoor natural lighting: application of artificial neural networks and 3dskyview
description	Environmental comfort in public school buildings is not often seen as a project requirement, due to the difficulty in considering all comfort-related architectural variables at once. This paper focuses on the level of illuminance in classrooms, by defining the importance and the relationship among visual comfort variables. The research method consisted of the observation of the users’ behaviour under different conditions of illuminance levels in the environment. Two methodological tools have been applied: the 3DSkyView extension, which was used for determining sky view factors, and artificial neural networks, which were applied for modelling the relationships between variables. The results indicate that students are used to develop tasks, either under too high, or under too low illuminance levels. The sky view factor (SVF) has presented the highest relevance for visual comfort among all variables investigated, assuming an importance level of 21% in May and 37,1% in November.
publisher	ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
publishDate	2008
url	https://seer.ufrgs.br/ambienteconstruido/article/view/3730
work_keys_str_mv	AT pizarropaularoberta qualificationofindoornaturallightingapplicationofartificialneuralnetworksand3dskyview AT lucasdesouzaleacristina qualificationofindoornaturallightingapplicationofartificialneuralnetworksand3dskyview AT pizarropaularoberta qualificacaodailuminacaonaturaleminterioresaplicacaodasredesneuraisartificiaise3dskyview AT lucasdesouzaleacristina qualificacaodailuminacaonaturaleminterioresaplicacaodasredesneuraisartificiaise3dskyview
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Qualification of indoor natural lighting: application of artificial neural networks and 3DSkyView

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