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Defining weather scenarios for simulation-based assessment of thermal resilience of buildings under current and future climates: A case study in Brazil

Krelling, Amanda F., Lamberts, Roberto, Malik, Jeetika, Zhang, Wanni, Sun, Kaiyu, Hong, Tianzhen·2024·Sustainable Cities and Society

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Research works printed but not linked: 49

  1. Ang, 2022, UBEM.io: A web-based framework to rapidly generate urban building energy models for carbon reduction technology pathways, Sustainable Cities and Society, 77, 10.1016/j.scs.2021.103534 · DOI
  2. Ang, 2023, Carbon reduction technology pathways for existing buildings in eight cities, Nature Communications, 14, 1689, 10.1038/s41467-023-37131-6 · DOI
  3. Ballester, 2023, Heat-related mortality in Europe during the summer of 2022, Nature Medicine, 29, 1857, 10.1038/s41591-023-02419-z · DOI
  4. Baniassadi, 2018, Energy efficiency vs resiliency to extreme heat and power outages: The role of evolving building energy codes, Building and Environment, 139, 86, 10.1016/j.buildenv.2018.05.024 · DOI
  5. Belcher, 2005, Constructing design weather data for future climates, Building Services Engineering Research and Technology, 26, 49, 10.1191/0143624405bt112oa · DOI
  6. Bezerra, 2022, The multidimensionality of energy poverty in Brazil: A historical analysis, Energy Policy, 171, 10.1016/j.enpol.2022.113268 · DOI
  7. Borghero, 2023, Comparing cooling strategies to assess thermal comfort resilience of residential buildings in Barcelona for present and future heatwaves, Building and Environment, 231, 10.1016/j.buildenv.2023.110043 · DOI
  8. Bucking, 2022, On modelling of resiliency events using building performance simulation: A multi-objective approach, Journal of Building Performance Simulation, 15, 307, 10.1080/19401493.2022.2044906 · DOI
  9. Bueno, 2013, The urban weather generator, Journal of Building Performance Simulation, 6, 269, 10.1080/19401493.2012.718797 · DOI
  10. Chen, 2017, Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis, Applied Energy, 205, 323, 10.1016/j.apenergy.2017.07.128 · DOI
  11. Costanzo, 2019, Natural ventilation potential for residential buildings in a densely built-up and highly polluted environment. A case study, Renewable Energy, 138, 340, 10.1016/j.renene.2019.01.111 · DOI
  12. D.B. Crawley, L.K. Lawrie, Rethinking the TMY: Is the ‘Typical’ meteorological year best for building performance simulation?, in: Hyderabad, India, 2015: P. 8. http://www.ibpsa.org/proceedings/BS2015/p2707.pdf. · DOI
  13. D. Crawley, L. Lawrie, Should we be using just ‘typical’ weather data in building performance simulation?, in: Rome, Italy, 2019: Pp. 4801–4808. https://doi.org/10.26868/25222708.2019.210594. · DOI
  14. Dogan, 2017, Shoeboxer: An algorithm for abstracted rapid multi-zone urban building energy model generation and simulation, Energy and Buildings, 140, 140, 10.1016/j.enbuild.2017.01.030 · DOI
  15. Eames, 2012, A comparison of future weather created from morphed observed weather and created by a weather generator, Building and Environment, 56, 252, 10.1016/j.buildenv.2012.03.006 · DOI
  16. Ferrando, 2020, Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches, Sustainable Cities and Society, 15
  17. Flores-Larsen, 2021, Energy efficiency, thermal resilience, and health during extreme heat events in low-income housing in Argentina, Energy and Buildings, 231, 10.1016/j.enbuild.2020.110576 · DOI
  18. Flores-Larsen, 2022, A performance-based method to detect and characterize heatwaves for building resilience analysis, Renewable and Sustainable Energy Reviews, 167, 10.1016/j.rser.2022.112795 · DOI
  19. Giorgi, 2022, The CORDEX-CORE EXP-I initiative: Description and highlight results from the initial analysis, Bulletin of the American Meteorological Society, 103, E293, 10.1175/BAMS-D-21-0119.1 · DOI
  20. Homaei, 2021, Thermal resilient buildings: How to be quantified? A novel benchmarking framework and labelling metric, Building and Environment, 201, 10.1016/j.buildenv.2021.108022 · DOI
  21. Hong, 2020, Ten questions on urban building energy modeling, Building and Environment, 168, 10.1016/j.buildenv.2019.106508 · DOI
  22. Hong, 2023, Ten questions concerning thermal resilience of buildings and occupants for climate adaptation, Building and Environment, 244, 10.1016/j.buildenv.2023.110806 · DOI · Paper page
  23. Jentsch, 2013, Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates, Renewable Energy, 55, 514, 10.1016/j.renene.2012.12.049 · DOI
  24. Ji, 2022, Interpretation of standard effective temperature (SET) and explorations on its modification and development, Building and Environment, 210, 10.1016/j.buildenv.2021.108714 · DOI
  25. Kesik, 2022, Toward a standardized framework for thermal resilience modelling and its practical application to futureproofing, Science and Technology for the Built Environment, 28, 742, 10.1080/23744731.2022.2043069 · DOI
  26. Krelling, 2023, A simulation framework for assessing thermally resilient buildings and communities, Building and Environment, 245, 10.1016/j.buildenv.2023.110887 · DOI
  27. Li, 2017, Modeling urban building energy use: A review of modeling approaches and procedures, Energy, 141, 2445, 10.1016/j.energy.2017.11.071 · DOI
  28. A. Machard, M. Pourabdollahtootkaboni, A. Gaur, A. Salvati, Weather data task force - Workshop to generate present and future weather files and heat wave data for building simulations - Methodology overview, 2020.
  29. Machard, 2020, A methodology for assembling future weather files including heatwaves for building thermal simulations from the european coordinated regional downscaling experiment (EURO-CORDEX) climate data, Energies, 13, 3424, 10.3390/en13133424 · DOI
  30. Meerow, 2016, Defining urban resilience: A review, Landscape and Urban Planning, 147, 38, 10.1016/j.landurbplan.2015.11.011 · DOI
  31. Ouzeau, 2016, Heat waves analysis over France in present and future climate: Application of a new method on the EURO-CORDEX ensemble, Climate Services, 4, 1, 10.1016/j.cliser.2016.09.002 · DOI
  32. Pan, 2023, Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies, Advances in Applied Energy, 10, 10.1016/j.adapen.2023.100135 · DOI
  33. Rahif, 2022, Simulation-based framework to evaluate resistivity of cooling strategies in buildings against overheating impact of climate change, Building and Environment, 208, 10.1016/j.buildenv.2021.108599 · DOI
  34. Ramos, 2020, Adaptive behaviour and air conditioning use in Brazilian residential buildings, Building Research & Information, 49, 496, 10.1080/09613218.2020.1804314 · DOI
  35. Reinhart, 2016, Urban building energy modeling – A review of a nascent field, Building and Environment, 97, 196, 10.1016/j.buildenv.2015.12.001 · DOI · Paper page
  36. Ren, 2018, Governing the informal: Housing policies over informal settlements in China, India, and Brazil, Housing Policy Debate, 28, 79, 10.1080/10511482.2016.1247105 · DOI
  37. Rodrigues, 2023, Future weather generator for building performance research: An open-source morphing tool and an application, Building and Environment, 233, 10.1016/j.buildenv.2023.110104 · DOI
  38. Roocks, 2016, Computing pareto frontiers and database preferences with the rPref package, The R Journal, 8, 393, 10.32614/RJ-2016-054 · DOI
  39. Scheidt, 2023, Edifícios de escritórios representativos para estudos de desempenho energético na cidade de Florianópolis, PARC Pesquisa em Arquitetura e Construcao., 14
  40. Sengupta, 2023, Impact of heatwaves and system shocks on a nearly zero energy educational building: Is it resilient to overheating?, Building and Environment, 234, 10.1016/j.buildenv.2023.110152 · DOI
  41. Sengupta, 2023, Evaluation of thermal resilience to overheating for an educational building in future heatwave scenarios, International Journal of Ventilation, 1
  42. Serrano-Notivoli, 2023, Unprecedented warmth: A look at Spain's exceptional summer of 2022, Atmospheric Research, 293, 10.1016/j.atmosres.2023.106931 · DOI
  43. Soares Geraldi, 2022, Assessment of the energy consumption in non-residential building sector in Brazil, Energy and Buildings, 273, 10.1016/j.enbuild.2022.112371 · DOI
  44. Sun, 2020, Nexus of thermal resilience and energy efficiency in buildings: A case study of a nursing home, Building and Environment, 177, 10.1016/j.buildenv.2020.106842 · DOI
  45. Taylor, 2012, An overview of CMIP5 and the experiment design, Bulletin of the American Meteorological Society, 93, 485, 10.1175/BAMS-D-11-00094.1 · DOI · Paper page
  46. Teichmann, 2021, Assessing mean climate change signals in the global CORDEX-CORE ensemble, Climate Dynamics, 57, 1269, 10.1007/s00382-020-05494-x · DOI
  47. Wang, 2017, Application and analysis of methods for selecting an optimal solution from the pareto-optimal front obtained by multiobjective optimization, Ind. Eng. Chem. Res., 56, 560, 10.1021/acs.iecr.6b03453 · DOI
  48. Wedler, 2023, More frequent, persistent, and deadly heat waves in the 21st century over the Eastern Mediterranean, Science of the Total Environment, 870, 10.1016/j.scitotenv.2023.161883 · DOI
  49. Zhang, 2022, Growing prevalence of heat over cold extremes with overall milder extremes and multiple successive events, Commun Earth Environ, 3, 73, 10.1038/s43247-022-00404-x · DOI

Metadata

Authors
Krelling, A. F., Lamberts, R., Malik, J., Zhang, W., Sun, K., & Hong, T.
Venue
Sustainable Cities and Society
Publisher
Elsevier BV
Published
2024-07
Volume
107
Pages
105460
ISSN
2210-6707
Cited by
50
References
1
Language
en
Funders
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico

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