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Data of high performance precast external walls for warm climate()

The data given in the following paper are related to input and output information of the paper entitled Design method of high performance precast external walls for warm climate by multi-objective optimization analysis by Baglivo et al. [1]. Previous studies demonstrate that the superficial mass and...

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Detalles Bibliográficos
Autores principales: Baglivo, Cristina, Maria Congedo, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534586/
https://www.ncbi.nlm.nih.gov/pubmed/26306317
http://dx.doi.org/10.1016/j.dib.2015.07.004
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author Baglivo, Cristina
Maria Congedo, Paolo
author_facet Baglivo, Cristina
Maria Congedo, Paolo
author_sort Baglivo, Cristina
collection PubMed
description The data given in the following paper are related to input and output information of the paper entitled Design method of high performance precast external walls for warm climate by multi-objective optimization analysis by Baglivo et al. [1]. Previous studies demonstrate that the superficial mass and the internal areal heat capacity are necessary to reach the best performances for the envelope of the Zero Energy Buildings located in a warm climate [2–4]. The results show that it is possible to achieve high performance precast walls also with light and ultra-thin solutions. A multi-criteria optimization has been performed in terms of steady and dynamic thermal behavior, eco sustainability score and costs. The modeFRONTIER optimization tool, with the use of computational procedures developed in Matlab, has been used to assess the thermal dynamics of building components. A large set of the best configurations of precast external walls for warm climate with their physical and thermal properties have been reported in the data article.
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spelling pubmed-45345862015-08-24 Data of high performance precast external walls for warm climate() Baglivo, Cristina Maria Congedo, Paolo Data Brief Data Article The data given in the following paper are related to input and output information of the paper entitled Design method of high performance precast external walls for warm climate by multi-objective optimization analysis by Baglivo et al. [1]. Previous studies demonstrate that the superficial mass and the internal areal heat capacity are necessary to reach the best performances for the envelope of the Zero Energy Buildings located in a warm climate [2–4]. The results show that it is possible to achieve high performance precast walls also with light and ultra-thin solutions. A multi-criteria optimization has been performed in terms of steady and dynamic thermal behavior, eco sustainability score and costs. The modeFRONTIER optimization tool, with the use of computational procedures developed in Matlab, has been used to assess the thermal dynamics of building components. A large set of the best configurations of precast external walls for warm climate with their physical and thermal properties have been reported in the data article. Elsevier 2015-07-15 /pmc/articles/PMC4534586/ /pubmed/26306317 http://dx.doi.org/10.1016/j.dib.2015.07.004 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Baglivo, Cristina
Maria Congedo, Paolo
Data of high performance precast external walls for warm climate()
title Data of high performance precast external walls for warm climate()
title_full Data of high performance precast external walls for warm climate()
title_fullStr Data of high performance precast external walls for warm climate()
title_full_unstemmed Data of high performance precast external walls for warm climate()
title_short Data of high performance precast external walls for warm climate()
title_sort data of high performance precast external walls for warm climate()
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534586/
https://www.ncbi.nlm.nih.gov/pubmed/26306317
http://dx.doi.org/10.1016/j.dib.2015.07.004
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