Climate data for resilient building design in the global warming scenario

Authors

  • Raquel Diniz Oliveira Centro Federal de Educação Tecnológica de Minas Gerais
  • Ítalo Bruno Baleeiro Guimarães Instituto Federal Goiano - Campus Trindade
  • Izabele Lovaglio Lopes Centro Federal de Educação Tecnológica de Minas Gerais

DOI:

https://doi.org/10.46421/encacelacac.v18i1.7307

Keywords:

Future weather data. Climate change. Morphing of meteorological variables.

Abstract

The increased frequency and severity of extreme weather events highlight the building's assessment call beyond its typical operational and thermal energy performance. Thus, the medium- and long-term climate change projections play an important role in the design aiding, and resilient buildings analysis. Herein, these authors investigated the future climate models generation through morphing for Minas Gerais, Brazil. Future weather files by morphing reveal their consistency, although they have some limitations. This data generation can provide advances in the thermal analysis of resilient buildings.

 

Author Biographies

Raquel Diniz Oliveira, Centro Federal de Educação Tecnológica de Minas Gerais

Doutorado em Eng. Estruturas pela Universidade Federal de Minas Gerais. Professor EBTT no Centro Federal de Educação Tecnológica de Minas Gerais (Belo Horizonte-MG, Brasil)

Ítalo Bruno Baleeiro Guimarães, Instituto Federal Goiano - Campus Trindade

Mestrado em Arquitetura e Urbanismo pelo Universidade Federal de Viçosa. Professor EBTT no Instituto Federal Goiano (Trindade-GO, Brasil).

Izabele Lovaglio Lopes, Centro Federal de Educação Tecnológica de Minas Gerais

Arquitetura e Urbanismo pela Universidade Federal de Minas Gerais. Cursano Engenharia Civil no Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte, Brasil (Belo Horizonte - MG, Brasil).

References

ASSOCIAÇÃO BRASILEIRA DE NORMA TÉCNICAS - ABNT. NBR 15220 – Desempenho térmico de edificações - Elaboração. Rio de Janeiro: ABNT, 2024.

ABNT. Relatório Técnico: TR 15220-3-1 – Região Sudeste. Rio de Janeiro: ABNT, 2024.

ASSOCIATION FOR THE DEVELOPMENT OF INDUSTRIAL AERODYNAMICS OF THE UNIVERSITY OF COIMBRA - ADAI-UC; CENTRE FOR ENVIRONMENTAL AND MARINE STUDIES AT THE UNIVERSITY OF AVEIRO - CESAM-UA. Future Weather Generator developed under the CLING Project, supported by the Portuguese Foundation for Science and Technology with grant number PTDC/EME-REN/3460/2021, 2021. Disponível em: https://future-weather-generator.adai.pt/. Acesso em: 10 jan. 2025.

BRACHT, Matheus K. et al. Multiple regional climate model projections to assess building thermal performance in Brazil: Understanding the uncertainty. Journal of Building Engineering. Amsterdam: Elsevier, v. 88, p. 109248, 2024.

CASAGRANDE, B. G.; ALVAREZ, C. E. Preparação de arquivos climáticos futuros para avaliação dos impactos das mudanças climáticas no desempenho termoenergético de edificações. Ambiente Construído. Porto Alegre: ANTAC, v. 13, p. 173-187, 2013.

CEFET MG - Departamento de Engenharia Civil e Mecânica: Projeto PVC00199-2023. Arquivos climáticos futuros e de ilha de calor urbanas para Minas Gerais. Belo Horizonte: DEC/DEM CEFET MG, 2024. Disponível em: XXXXXXXXXXXXXXXXXXXXXXXXXXXx.

CLIMATE ONEBUILDING ORGANIZATION. USA, 2024. Disponível em: https://climate.onebuilding.org/. Acesso em: 10 jan. 2025.

CRAWLEY, D. B.; LAWRIE, L. K. Our climate conditions are already changing – Should we care? Building Services Engineering Research and Technology. New York: SAGE, v. 42(5):507-516, 2021.

CRAWLEY, D; LAWRIE, L. Should We Be Using Just ‘Typical’ Weather Data in Building Performance Simulation? In: 16th Conference of IBPSA, Rome, 2019. Proceedings of Building Simulation 2019… Rome: IBPSA, 2019, pp. 4801–4808.

D’AGOSTINO, D.; PARKER, D.; EPIFANI, I.; CRAWLEY, D.; LAWRIE, L. Datasets on Energy Simulations of Standard and Optimized Buildings under Current and Future Weather Conditions across Europe. Data. Basel: MDPI, v. 7(5) 66, 2022.

D'AMICO, F. C. Arquitectura bioclimática, conceptos básicos y panorama actual. Boletín CF+ S. Madrid: PoliRED, n. 14, 2014.

GASPARELLA, A.; CRAWLEY, D. B.; PERNIGOTTO, G.; Prada, A.; LAWRIE, L. K. Extreme Weather Data in Building Performance Simulation. In: 17th Conference of IBPSA, Bruges, 2021. Proceedings of Building Simulation 2021… Bruges: IBPSA, 2021, pp. 894-901.

INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA – IBGE. Buscar - Cidades e estados – Minas Gerais. Rio de Janeiro, [202-]. Disponível em: https://ibge.gov.br/cidades-e-estados/mg.html. Acesso em: 10 jan. 2025.

KRELLING, A. F.; LAMBERTS, R.; MALIK, J.; HONG, T. A simulation framework for assessing thermally resilient buildings and communities. Building and Environment. Amsterdam: Elsevier, v. 245, 2023, p. 110887.

RODRIGUES, Eugénio; FERNANDES, Marco S.; CARVALHO, David. Future weather generator for building performance research: An open-source morphing tool and an application. Building and Environment. Amsterdam: Elsevier, v. 233, p. 110104, 2023.

UNITED NATIONS ENVIRONMENT PROGRAMME - UNEP (2024). UNEP’s Emissions Gap Report 2024: No more hot air … please! With a massive gap between rhetoric and reality, countries draft new climate commitments. Nairobi: UNEP, 2024. 15th ed.

Published

2025-08-16

How to Cite

OLIVEIRA, Raquel Diniz; GUIMARÃES, Ítalo Bruno Baleeiro; LOPES, Izabele Lovaglio. Climate data for resilient building design in the global warming scenario . In: ENCONTRO NACIONAL DE CONFORTO NO AMBIENTE CONSTRUÍDO, 18., 2025. Anais [...]. [S. l.], 2025. DOI: 10.46421/encacelacac.v18i1.7307. Disponível em: https://eventos.antac.org.br/index.php/encac/article/view/7307. Acesso em: 3 may. 2026.

Issue

Section

2. Clima e Planejamento Urbano