Future projections: Thermal performance of two envelopes for a single-family house in São Paulo
DOI:
https://doi.org/10.46421/entac.v20i1.5958Keywords:
Future climate files, Climate change, Thermal performance, Computational simulationAbstract
Due to climate change, it is essential to understand the impacts of future climate on buildings. Based on the CORDEX project, six climate model projections with three meteorological years were adopted under two different emission scenarios: RCP2.6 (emission mitigation) and RCP8.5 (high emissions). In light of this, the objective of this work was to analyze the behavior of these projections for the city of São Paulo, identifying the extreme climate models. For this, thermo-energy simulations of a single-family house with two different envelopes were carried out. Through statistical analyses, greater deviations were found in the RCP8.5 projections. It was also noted that the files developed with the regional model regcm show higher temperatures than remo. The combination HadGEM2-regcm was identified as the extreme hot model, while the mild extremes were NorESM1-remo (RCP8.5) and MPI-ESM remo (RCP2.6). Despite the models exhibiting similar behavior in both envelopes, the building with a concrete construction system showed a higher total thermal load, while the steel frame one revealed higher maximum operative temperatures.
References
INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE (IPCC). (2023). AR6 Synthesis Report: Climate Change 2023. Disponível em: https://www.ipcc.ch/report/sixth-assessment-report-cycle/. Acesso em: 13 de maio de 2024.
SANTAMOURIS, M; VASILAKOPOULOU, K. Present and Future Energy Consumption of Buildings: Challenges and Opportunities towards Decarbonisation. e-Prime – Advances in Electrical Engineering, Electronics and Energy, v. 1, p. 100002, 2021. DOI: https://doi.org/10.1016/j.prime.2021.100002.
CRAWLEY, D; LAWRIE, L. Our climate conditions are already changing – Should we care? Building Services Engineering Research and Technology, v. 42, n. 5, p. 507-516, 2021. DOI: https://doi.org/10.1177/0143624421100427.
P. TOOTKABONI, M.;, BALLARINI, I;., ZINZI, M.; CORRADO, V. (2021). A comparative analysis of different future weather data for building energy performance simulation. Climate, 9(2), 1–16. DOI: https://doi.org/10.3390/cli9020037.
F. Giorgi et al., “The CORDEX-CORE EXP-I Initiative: Description and Highlight Results from the Initial Analysis,” Bulletin of the American Meteorological Society, vol. 103, no. 2, pp.E293–E310, Feb. 2022, DOI: https://doi.org/10.1175/BAMS-D-21-0119.1 .
D. P. Van Vuuren et al., “The representative concentration pathways: an overview,” Climatic Change, vol. 109, no. 1–2, pp. 5–31, Nov. 2011, DOI: 10.1007/s10584-011-0148-z.
IPCC, 2013: Climate Change 2013: The Physical Science Basis. Cambridge University Press, 1535 pp. DOI: https://doi.org/10.1017/CBO9781107415324.
EYRING, V., BONY, S., MEEHL, G., SENIOR, C., STEVENS, B., STOUFFER, R., TAYLOR, K., “Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization,” Geosci. Model Dev., vol. 9, no. 5, pp. 1937–1958, May 2016, doi: 10.5194/gmd-9-1937-2016.
RUMMUKAINEN, M., “Added value in regional climate modeling,” WIREs Clim Change, vol. 7, pp. 145–159, 2016. DOI: https://doi.org/10.1002/wcc.378.
DI LUCA, A.; DE ELÍA, R.; LAPRISE, R. “Potential for small scale added value of RCM’s downscaled climate change signal,” Clim Dyn, vol. 40, no. 3–4, pp. 601–618, Feb. 2013, DOI: https://doi.org/10.1007/s00382-012-1415-z .
BRACHT, M. K., OLINGER, M. S., KRELLING, A. F., GONÇALVES, A. R., MELO, A. P., LAMBERTS, R. “Multiple regional climate model projections to assess building thermal performance in Brazil: Understanding the uncertainty,” Journal of Building Engineering, v. 88, p. 109248, July 2024. DOI: https://doi.org/10.1016/j.jobe.2024.109248.
ISO, ISO 15927-4: Hygrothermal Performance of Buildings — Calculation and Presentation of Climatic Data — Part 4: Hourly Data for Assessing the Annual Energy Use for Heating and Cooling, 2005.
BRACHT, M. K., OLINGER, M. S., KRELLING, A. F., GONÇALVES, A. R., MELO, A. P., LAMBERTS, R. Brazil - Future weather files for building energy simulation (1.0) [Data set]. 2023. DOI: https://doi.org/10.5281/zenodo.10015137.
The HadGEM2 Development Team: G. M. Martin, Bellouin, N., Collins, W. J., Culverwell, I. D., Halloran, P. R., Hardiman, S. C., Hinton, T. J., Jones, C. D., McDonald, R. E., McLaren, A. J., O'Connor, F. M., Roberts, M. J., Rodriguez, J. M., Woodward, S., Best, M. J., Brooks, M. E., Brown, A. R., Butchart, N., Dearden, C., Derbyshire, S. H., Dharssi, I., Doutriaux-Boucher, M., Edwards, J. M., Falloon, P. D., Gedney, N., Gray, L. J., Hewitt, H. T., Hobson, M., Huddleston, M. R., Hughes, J., Ineson, S., Ingram, W. J., James, P. M., Johns, T. C., Johnson, C. E., Jones, A., Jones, C. P., Joshi, M. M., Keen, A. B., Liddicoat, S., Lock, A. P., Maidens, A. V., Manners, J. C., Milton, S. F., Rae, J. G. L., Ridley, J. K., Sellar, A., Senior, C. A., Totterdell, I. J., Verhoef, A., Vidale, P. L., and Wiltshire, A.: The HadGEM2 family of Met Office Unified Model climate configurations, Geosci. Model Dev., 4, 723–757, 2011. DOI: https://doi.org/10.5194/gmd-4-723-2011
Giorgetta, M. A., et al. (2013), Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Model. Earth Syst., 5, 572–597, doi:10.1002/jame.20038.
Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A., Seland, Ø., Drange, H., Roelandt, C., Seierstad, I. A., Hoose, C., and Kristjánsson, J. E.: The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate, Geosci. Model Dev., 6, 687–720, https://doi.org/10.5194/gmd-6-687-2013, 2013.
Jacob, D., Podzun, R. Sensitivity studies with the regional climate model REMO. Meteorl. Atmos. Phys. 63, 119–129 (1997). https://doi.org/10.1007/BF01025368.
Jacob, D.; Elizalde, A.; Haensler, A.; Hagemann, S.; Kumar, P.; Podzun, R.; Rechid, D.; Remedio, A.R.; Saeed, F.; Sieck, K.; et al. Assessing the Transferability of the Regional Climate Model REMO to Different COordinated Regional Climate Downscaling EXperiment (CORDEX) Regions. Atmosphere 2012, 3, 181-199. https://doi.org/10.3390/atmos3010181.
Giorgi F, Coppola E, Solmon F, Mariotti L and others (2012) RegCM4: model description and preliminary tests over multiple CORDEX domains. Clim Res 52:7-29. https://doi.org/10.3354/cr01018.
TRIANA, A.; LAMBERTS, R.; SASSI, P. “Characterisation of representative building typologies for social housing projects in Brazil and its energy performance.” Energy Policy, v.87, p. 524–541. 2015. DOI: http://doi.org/10.1016/j.enpol.2015.08.041.
ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS. NBR 15575-1: Edificações habitacionais — Desempenho Parte 1: Requisitos gerais. Rio de Janeiro, 2021.