Open Access
| Issue |
E3S Web Conf.
Volume 716, 2026
The 12th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC 2026)
|
|
|---|---|---|
| Article Number | 10011 | |
| Number of page(s) | 8 | |
| Section | Climate Change Adaptation, Resilience, and Environmental Policy | |
| DOI | https://doi.org/10.1051/e3sconf/202671610011 | |
| Published online | 09 June 2026 | |
- International Energy Agency, 2018 Global Status Report: Towards a zero-emission, efficient and resilient buildings and construction sector (2018). https://worldgbc.org/article/2018-global-status-report-towards-a-zero-emission-efficient-and-resilient-buildings-and-construction-sector/ [Google Scholar]
- M. Herrera, S. Natarajan, D.A. Coley, T. Kershaw, A.P. Ramallo-Gonzalez, M. Eames, D. Fosas, M. Wood, A review of current and future weather data for building simulation, Build. Serv. Eng. Res. Technol., 38, 602–627 (2017). https://doi.org/10.1177/0143624417705937 [Google Scholar]
- A. Walsh, D. Costola, and L.C. Labaki, Review of methods for climatic zoning for building energy efficiency programs, Build. Environ., 112, 337–350 (2017). https://doi.org/10.1016/j.buildenv.2016.11.046 [Google Scholar]
- M.C. Peel, B.L. Finlayson, and T.A. McMahon, Updated world map of the Köppen-Geiger climate classification, Hydrol. Earth Syst. Sci., 11, 16331644 (2007). https://doi.org/10.5194/hess-11-1633-2007 [Google Scholar]
- R.S. Briggs, R.G. Lucas, and Z.T. Taylor, Climate classification for building energy codes and standards: Part 2-zone definitions, maps, and comparisons, ASHRAE Trans., 109, 122 (2003). [Google Scholar]
- G. Pernigotto, A. Gasparella, Classification of European Climates for Building Energy Simulation Analyses. International High Performance Buildings Conference, Paper 300 (2018). https://docs.lib.purdue.edu/ihpbc/300 [Google Scholar]
- P.D. Nadarajah, M.K. Singh, S. Mahapatra, L. Pajek, and M. Kosir, Bioclimatic classification for building energy efficiency using hierarchical clustering: A case study for Sri Lanka, J. Build. Eng., 83, 108388 (2024). https://doi.org/10.1016/j.jobe.2023.108388 [Google Scholar]
- C.Y. Siu and Z. Liao, Is building energy simulation based on TMY representative: A comparative simulation study on doe reference buildings in Toronto with typical year and historical year type weather files, Energy Build., 211, 109760 (2020). https://doi.org/10.1016/j.enbuild.2020.109760 [Google Scholar]
- R. Gupta, J. Mathur, and V. Garg, Assessment of climate classification methodologies used in building energy efficiency sector, Energy Build., 298, 113549 (2023). https://doi.org/10.1016/j.enbuild.2023.113549 [Google Scholar]
- A. Smith, N. Lott, and R. Vose, The Integrated Surface Database: Recent Developments and Partnerships, Bull. Am. Meteorol. Soc., 92, 704–708 (2011). https://doi.org/10.1175/2011BAMS3015.1 [Google Scholar]
- Copernicus Climate Change Service, ERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) (2019). https://doi.org/10.24381/CDS.E2161BAC [Google Scholar]
- M. Sengupta, Y. Xie, A. Lopez, A. Habte, G. Maclaurin, and J. Shelby, The National Solar Radiation Data Base (NSRDB), Renew. Sustain. Energy Rev., 89, 51–60 (2018). https://doi.org/10.1016/j.rser.2018.03.003 [Google Scholar]
- A.R. Remedio, C. Teichmann, L. Buntemeyer, K. Sieck, T. Weber, D. Rechid, P. Hoffmann, C. Nam, L. Kotova, D. Jacob, Evaluation of New CORDEX Simulations Using an Updated Köppen-Trewartha Climate Classification, Atmosphere, 10, 726 (2019). https://doi.org/10.3390/atmos10110726 [Google Scholar]
- S. Wilcox and W. Marion, Users Manual for TMY3 Data Sets, Tech. Rep. (2008). [Google Scholar]
- International Crops Research Institute for the SemiArid Tropics, Climatic classification: a consultants’ meeting, 14-16 April 1980, (ICRISAT, Patancheru, India, 1980) [Google Scholar]
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