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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Metamodels to assess the thermal performance of naturally ventilated, low-cost houses in Brazil

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Author(s):
Rossi, Michele Marta [1] ; Oliveira Favretto, Ana Paula [2] ; Grassi, Camila [1] ; DeCarolis, Joseph [3] ; Cho, Soolyeon [3] ; Hill, David [3] ; Soares Chvatal, Karin Maria [1] ; Ranjithan, Ranji [3]
Total Authors: 8
Affiliation:
[1] Univ Sao Paulo, Inst Arquitetura & Urbanismo, Av Trab Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Fed Sao Carlos, PPGEU, Rodovia Washington Luis, Km 235, BR-13565905 Sao Carlos, SP - Brazil
[3] NC State Univ, Raleigh, NC 27695 - USA
Total Affiliations: 3
Document type: Journal article
Source: ENERGY AND BUILDINGS; v. 204, DEC 1 2019.
Web of Science Citations: 0
Abstract

Building performance simulation {[}BPS] tools are important in all design stages. However, barriers such as time, resources, and expertise inhibit their use in the early design stages. This study aims to develop, as part of decision -support framework, metamodels to assess the thermal discomfort in a naturally ventilated Brazilian low-cost house during early design. The metamodels predict the degree -hours of discomfort by heat and/or by cold as a function of design parameters for three Brazilian cities: Curitiba, Sao Paulo, and Manaus. The key design parameters, related with passive design strategies, are building orientation, shading devices position and dimensions, thermal properties of the walls and roof, window-to-wall ratio, and effective window ventilation area. The method consists of three main stages: (i) baseline model development; (ii) Monte Carlo simulation; (iii) multivariate regression. Overall, the metamodels showed R-2 values higher than 0.95 for all climates, except the ones predicting discomfort by heat for Curitiba (R-2 =0.61) and Sao Paulo (R-2 =0.75). The proposed metamodels can quickly and accurately assess the thermal performance of naturally ventilated low-cost houses. They can be used to guide professionals during the early design stages, and for educational purposes in building design pedagogy. (C) 2019 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 14/09225-8 - Development of regression models as an assessment tool for social housing's thermal performance in early design stages: considerations on natural ventilation
Grantee:Michele Marta Rossi
Support Opportunities: Scholarships abroad - Research Internship - Master's degree
FAPESP's process: 13/16628-9 - Assessment tool for thermal performance of social house: envelope considerations
Grantee:Ana Paula Oliveira Favretto
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 14/09226-4 - Development of regression models as an assessment tool for social housing's thermal performance in early design stages: consideration on building envelope
Grantee:Ana Paula Oliveira Favretto
Support Opportunities: Scholarships abroad - Research Internship - Master's degree
FAPESP's process: 13/16768-5 - An assessment tool for social housing's thermal performance: considerations on natural ventilation
Grantee:Michele Marta Rossi
Support Opportunities: Scholarships in Brazil - Master