Multi-criterial performance-based climatic zoning of Brazil supported by local experts

Angelica Walsh; Daniel Costola; Jan L.M. Hensen; Lucila Labaki

doi:10.1016/j.buildenv.2023.110591

Multi-criterial performance-based climatic zoning of Brazil supported by local experts

Angelica Walsh (Corresponding author), Daniel Costola, Jan L.M. Hensen, Lucila Labaki

Building Performance

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

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Abstract

Performance-based climatic zoning for building energy efficiency applications has shown significant advantages when compared to methods that only rely on climate data. However, previous studies have primarily focused on small regions, which raises questions about the effectiveness of this approach for larger countries. To address this gap, this paper presents the first application of performance-based zoning to Brazil, detailing the process of revising the Brazilian climatic zoning standard using an open-source toolbox. Results of simulations for 100 variants of a detached dwelling using climatic data for 298 locations were clustered and analysed in terms of energy demand, thermal comfort, and mould growth risk (not previously used in climatic zoning studies). The paper employed a methodical approach to incorporate expert insights with the aim of enhancing and validating the outputs of the climatic zoning. To compare the proposed method with the current zoning of Brazil, and the degree-days zoning, the mean percentage of potentially misclassified areas (MPMA) was used, and its calculation was improved to handle an arbitrary number of conflicting performance indicators. The involvement of local experts was crucial in developing the proposed zoning method as they played a key role in defining the number of zones and establishing zones boundaries. The feedback from local experts confirmed the proposed method as a significant improvement over the current zoning, which is supported by the MPMA results (14%), outperforming both the current Brazilian and degree-day zones. The zoning method is applicable to countries of any size and level of complexity.

Original language	English
Article number	110591
Number of pages	14
Journal	Building and Environment
Volume	243
DOIs	https://doi.org/10.1016/j.buildenv.2023.110591
Publication status	Published - 1 Sept 2023

Funding

This study was partially supported by the São Paulo Research Foundation (FAPESP) [grants number 2017/14617-0 and 18/00978-4 ]. Members of the NBR15220-Part 3 revision committee, and also to Alexandre Cypreste Amorim, Ana Lucia Ribeiro Camillo da Silveira, Ana Paula de Melo, Anneli Maricielo Cardenas Celis, Antonio César Silveira Baptista da Silva, Ariane L. Sasso Ferrão, Beatriz Arantes, Bianca Gass Walter, Bruno de Paiva y Raviolo, Camila Ferreira, Carla F. B. Teixeira, Clélia Mendonça de Moraes, Diana de Paula, Eduardo Raimundo Dias Nunes, Emeli Lalesca Aparecida da Guarda, Felipe da Silva Duartes Lopes, Iuri Ávila Lins de Araújo, Jéssica Fonseca Matos, Joyce Correna Carlo, Jussana Maria Fahel Guimarães Nery, Karen Bortoli, Karin Maria Soares Chvatal, Liliane Flávia Guimarães da Silva, Lorena Santos Bezerra Couto, Loyde Vieira de Abreu-Harbich, Maria Fernanda de Oliveira, Mario Alves da Silva, Miriam de Farias Panet, Paula Silva Sardeiro Vanderlei, Ricardo Carvalho Cabús, Rayner Mauricio e Silva Machado, Rita Saramago, Roberta Vieira Gonçalves de Souza, Roberto Lamberts, Solange Maria Leder, Vanda Alice Garcia Zanoni and, Victor Figueiredo Roriz. This study was partially supported by the São Paulo Research Foundation (FAPESP) [grants number 2017/14617-0 and 18/00978-4]. Members of the NBR15220-Part 3 revision committee, and also to Alexandre Cypreste Amorim, Ana Lucia Ribeiro Camillo da Silveira, Ana Paula de Melo, Anneli Maricielo Cardenas Celis, Antonio César Silveira Baptista da Silva, Ariane L. Sasso Ferrão, Beatriz Arantes, Bianca Gass Walter, Bruno de Paiva y Raviolo, Camila Ferreira, Carla F. B. Teixeira, Clélia Mendonça de Moraes, Diana de Paula, Eduardo Raimundo Dias Nunes, Emeli Lalesca Aparecida da Guarda, Felipe da Silva Duartes Lopes, Iuri Ávila Lins de Araújo, Jéssica Fonseca Matos, Joyce Correna Carlo, Jussana Maria Fahel Guimarães Nery, Karen Bortoli, Karin Maria Soares Chvatal, Liliane Flávia Guimarães da Silva, Lorena Santos Bezerra Couto, Loyde Vieira de Abreu-Harbich, Maria Fernanda de Oliveira, Mario Alves da Silva, Miriam de Farias Panet, Paula Silva Sardeiro Vanderlei, Ricardo Carvalho Cabús, Rayner Mauricio e Silva Machado, Rita Saramago, Roberta Vieira Gonçalves de Souza, Roberto Lamberts, Solange Maria Leder, Vanda Alice Garcia Zanoni and, Victor Figueiredo Roriz.

Funders	Funder number
Fundação de Amparo à Pesquisa do Estado de São Paulo	18/00978-4, 2017/14617-0

Keywords

Building energy performance
Climatic zoning
Degree-days

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.buildenv.2023.110591

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Cite this

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abstract = "Performance-based climatic zoning for building energy efficiency applications has shown significant advantages when compared to methods that only rely on climate data. However, previous studies have primarily focused on small regions, which raises questions about the effectiveness of this approach for larger countries. To address this gap, this paper presents the first application of performance-based zoning to Brazil, detailing the process of revising the Brazilian climatic zoning standard using an open-source toolbox. Results of simulations for 100 variants of a detached dwelling using climatic data for 298 locations were clustered and analysed in terms of energy demand, thermal comfort, and mould growth risk (not previously used in climatic zoning studies). The paper employed a methodical approach to incorporate expert insights with the aim of enhancing and validating the outputs of the climatic zoning. To compare the proposed method with the current zoning of Brazil, and the degree-days zoning, the mean percentage of potentially misclassified areas (MPMA) was used, and its calculation was improved to handle an arbitrary number of conflicting performance indicators. The involvement of local experts was crucial in developing the proposed zoning method as they played a key role in defining the number of zones and establishing zones boundaries. The feedback from local experts confirmed the proposed method as a significant improvement over the current zoning, which is supported by the MPMA results (14%), outperforming both the current Brazilian and degree-day zones. The zoning method is applicable to countries of any size and level of complexity.",

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AB - Performance-based climatic zoning for building energy efficiency applications has shown significant advantages when compared to methods that only rely on climate data. However, previous studies have primarily focused on small regions, which raises questions about the effectiveness of this approach for larger countries. To address this gap, this paper presents the first application of performance-based zoning to Brazil, detailing the process of revising the Brazilian climatic zoning standard using an open-source toolbox. Results of simulations for 100 variants of a detached dwelling using climatic data for 298 locations were clustered and analysed in terms of energy demand, thermal comfort, and mould growth risk (not previously used in climatic zoning studies). The paper employed a methodical approach to incorporate expert insights with the aim of enhancing and validating the outputs of the climatic zoning. To compare the proposed method with the current zoning of Brazil, and the degree-days zoning, the mean percentage of potentially misclassified areas (MPMA) was used, and its calculation was improved to handle an arbitrary number of conflicting performance indicators. The involvement of local experts was crucial in developing the proposed zoning method as they played a key role in defining the number of zones and establishing zones boundaries. The feedback from local experts confirmed the proposed method as a significant improvement over the current zoning, which is supported by the MPMA results (14%), outperforming both the current Brazilian and degree-day zones. The zoning method is applicable to countries of any size and level of complexity.

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Multi-criterial performance-based climatic zoning of Brazil supported by local experts

Abstract

Funding

Keywords

UN SDGs

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