Long-term experimental climate data for the energy and thermal comfort evaluation in built environment
DOI:
https://doi.org/10.20868/ade.2025.5509Keywords:
climate change, Typical Meteorological Year (TMY), future climate scenarios, thermal comfort, energy demandAbstract
To define tailored climate change mitigation and adaptation strategies, the proposed methodology offers significant advantages. This approach is based on the generation of an updated experimental Typical Meteorological Year (TMYe) for the city of Madrid, utilizing meteorological variables recorded since 2008. In addition to comparing this TMYe with the widely used International Weather for Energy Calculations (IWEC) climate file, different future scenarios for 2050 and 2080 were projected following shared socioeconomic pathways. Finally, impact indicators at the climatic, urban, and building levels were evaluated. The results indicate that both the TMYe and its projections reveal increasingly warmer and drier climates, particularly in summer, with average summer temperatures of 32°C and 26% humidity by 2080 if no measures are taken. This implies a substantial increase in tropical nights, a higher thermal discomfort index, and a significant value of cooling degree-hours, not only in summer but also in spring and autumn.
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References
1. AEMET. (2023). Informe del estado del clima en España en 2022, Agencia Estatal de Meteorología Española. https://doi.org/10.31978/666-23-003-8
2. AENOR. (2011). UNE-EN ISO-15927-4:2011. www.aenor.esTel.:902Fax:913
3. Amin, S., Giancola, E., Soutullo, S., Zarzalejo, L., & Em-, R. (2023). Evaluating the Impact of Climate Change & UHI on Energy Demand of a vulnerable neighborhood in Madrid. 5th Euro-Mediterranenan Conference for Environmental Integration (EMCEI).
4. ASHRAE. (2017). ANSI/ASHRAE Standard 55-2017 : Thermal Environmental Conditions for Human Occupancy. ASHRAE Inc., 2017, 66.
5. Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., & Wood, E. F. (2018). Present and future köppen-geiger climate classification maps at 1-km resolution. Scientific Data, 5. https://doi.org/10.1038/sdata.2018.214
6. Bianchi, C., & Smith, A. D. (2019). Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy
7. simulations. SoftwareX, 10. https://doi.org/10.1016/j.softx.2019.100299
8. BOE 12925. (2022). Real Decreto-ley 14/2022, de 1 de agosto, de medidas de sostenibilidad económica en el ámbito del transporte, en materia de becas y ayudas al estudio, así como de medidas de ahorro, eficiencia energética y de reducción de la dependencia energética del gas natural. https://www.boe.es/buscar/act.php?id=BOE-A-2022-12925
9. BOE 15820. (2007). Real Decreto 1027/2007, de 20 de julio, por el que se aprueba el Reglamento de Instalaciones Térmicas en los Edificios. https://www.boe.es/buscar/act.php?id=BOE-A-2007-15820
10. Burillo, D., Chester, M. V., Pincetl, S., Fournier, E. D., & Reyna, J. (2019). Forecasting peak electricity demand for Los Angeles considering higher air temperatures due to climate change. Applied Energy, 236(July 2018), 1–9. https://doi.org/10.1016/j.apenergy.2018.11.039
11. Castro Medina, D., Guerrero Delgado, Mc. C., Sánchez Ramos, J., Palomo Amores, T., Romero Rodríguez, L., & Álvarez Domínguez, S. (2024). Empowering urban climate resilience and adaptation: Crowdsourcing weather citizen stations-enhanced temperature prediction. Sustainable Cities and Society, 101. https://doi.org/10.1016/j.scs.2024.105208
12. CTE. (2015). Índice Objeto Clima de referencia Climas de referencia en soporte informático (MET). Código Técnico de La Edificación (Spain), 1–7.
13. Database - Eurostat. (n.d.). Retrieved May 7, 2020, from https://ec.europa.eu/eurostat/data/database
14. De Munck, C., Pigeon, G., Masson, V., Meunier, F., Bousquet, P., Tréméac, B., Merchat, M., Poeuf, P., & Marchadier, C. (2013). How much can air conditioning increase air temperatures for a city like Paris, France? International Journal of Climatology, 33(1), 210–227. https://doi.org/10.1002/joc.3415
15. Díaz-López, C., Jódar, J., Verichev, K., Rodríguez, M. L., Carpio, M., & Zamorano, M. (2021). Dynamics of changes in climate zones and building energy demand. A case study in spain. Applied Sciences (Switzerland), 11(9). https://doi.org/10.3390/app11094261
16. Eames, M., Kershaw, T., & Coley, D. (2012). A comparison of future weather created from morphed observed weather and created by a weather generator. Building and Environment, 56, 252–264. https://doi.org/10.1016/j.buildenv.2012.03.006
17. Elnagar, E., Gendebien, S., Georges, E., Berardi, U., Doutreloup, S., & Lemort, V. (2023). Framework to assess climate change impact on heating and cooling energy demands in building stock: A case study of Belgium in 2050 and 2100. Energy and Buildings, 298. https://doi.org/10.1016/j.enbuild.2023.113547
18. EnergyPlus. (n.d.). Weather Data Sources | EnergyPlus. Retrieved August 30, 2020, from https://energyplus.net/weather/sources
19. Eurowho. (2021, December 9). Heat threatens health: key figures for Europe. World Health Organization. https://www.euro.who.int/en/health-topics/environment-and-health/Climate-change/archive/heat-threatens-health-key-figures-for-europe
20. Finkelstein, J. M., & Schafer, R. E. (1971). Biometrika Trust Improved Goodness-Of-Fit Tests. In Source: Biometrika (Vol. 58, Issue 3). http://www.jstor.orgURL:http://www.jstor.org/stable/2334400
21. Gangolells, M., & Casals, M. (2012). Resilience to increasing temperatures: Residential building stock adaptation through codes and standards. Building Research and Information, 40(6), 645–664. https://doi.org/10.1080/09613218.2012.698069
22. Garshasbi, S., Haddad, S., Paolini, R., Santamouris, M., Papangelis, G., Dandou, A., Methymaki, G., Portalakis, P., & Tombrou, M. (2020). Urban mitigation and building adaptation to minimize the future cooling energy needs. Solar Energy, 204, 708–719. https://doi.org/10.1016/j.solener.2020.04.089
23. Giannakopoulos, C., Le Sager, P., Bindi, M., Moriondo, M., Kostopoulou, E., & Goodess, C. M. (2009). Climatic changes and associated impacts in the Mediterranean resulting from a 2 °C global warming. Global and Planetary Change, 68(3), 209–224. https://doi.org/10.1016/j.gloplacha.2009.06.001
24. Herrera, M., Natarajan, S., Coley, D., Kershaw, T., Ramallo-González, A., Eames, M., Fosas, D., & Wood, M. (2017). A Review of Current and Future Weather Data for Building Simulation. Building Services Engineering Research and Technology, 38. https://doi.org/10.1177/0143624417705937
25. ILO. (2019). Working on a warmer planet. The impact of heat stress on labour productivity and decent work. International Labour Office.
26. International Energy Agency. (2017). Energy Technology Perspectives 2017 - Executive Summary. In International Energy Agency (IEA) Publications.
27. IPCC. (2018). International Panel of Climate Change, 2018: Global Warming of 1.5°C. United Union.
28. IPCC. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. In Cambridge University Press (Issue In Press).
29. IPCC. (2022). Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.
30. Jentsch, M. F., James, P. A. B., Bourikas, L., & Bahaj, A. B. S. (2013). Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates. Renewable Energy, 55, 514–524. https://doi.org/10.1016/j.renene.2012.12.049
31. Kalamees, T., Jylhä, K., Tietäväinen, H., Jokisalo, J., Ilomets, S., Hyvönen, R., & Saku, S. (2012). Development of weighting factors for climate variables for selecting the energy reference year according to the en ISO 15927-4 standard. Energy and Buildings, 47, 53–60. https://doi.org/10.1016/j.enbuild.2011.11.031
32. Kan, X., Reichenberg, L., & Hedenus, F. (2021). The impacts of the electricity demand pattern on electricity system cost and the electricity supply mix: A comprehensive modeling analysis for Europe. Energy, 235. https://doi.org/10.1016/j.energy.2021.121329
33. Lai, D., Lian, Z., Liu, W., Guo, C., Liu, W., Liu, K., & Chen, Q. (2020). A comprehensive review of thermal comfort studies in urban open spaces. In Science of the Total Environment (Vol. 742). Elsevier B.V. https://doi.org/10.1016/j.scitotenv.2020.140092
34. Liu, Z., Li, J., & Xi, T. (2023). A Review of Thermal Comfort Evaluation and Improvement in Urban Outdoor Spaces. In Buildings (Vol. 13, Issue 12). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/buildings13123050
35. López-Bueno, J. A., Díaz, J., Sánchez-Guevara, C., Sánchez-Martínez, G., Franco, M., Gullón, P., Núñez Peiró, M., Valero, I., & Linares, C. (2020). The impact of heat waves on daily mortality in districts in Madrid: The effect of sociodemographic factors. Environmental Research, 190(June). https://doi.org/10.1016/j.envres.2020.109993
36. López-Moreno, H., Giancola, E., Sánchez Egido, M. N., Ferrer Tevar, J. A., & Soutullo Castro, S. (2021). Evaluation of weather conditions in urban climate studies over different Madrid neighbourhoods: Influence of urban morphologies on the microclimate. 1–12. https://doi.org/10.18086/eurosun.2020.09.03
37. López-Moreno, H., Giancola, E., Sánchez Egido, M. N., & Soutullo Castro, S. (2022). Response of thermal comfort standars´ applied to representative building typologies under new climate trends in Madrid. In Innovación Tecnológica y Desarrollo Sostenible en la Edificación. Dykinson.
38. López-Moreno, H., Silvia, S., Sánchez, M. N., Emanuela, G., Javier, N. F., & Antonio, F. J. (2020). Outdoor thermal comfort approach in summer season for the city of Madrid. PLEA 2020 Congress.
39. Martinopoulos, G., Alexandru, A., & Papakostas, K. T. (2019). Mapping temperature variation and degree-days in metropolitan areas with publicly available sensors. Urban Climate, 28. https://doi.org/10.1016/j.uclim.2019.100464
40. Meyer, R. K. P. and L. A. (2014). IPCC, 2014: Climate Change 2014: Synthesis Report (Vol. 9781107025). https://doi.org/10.1017/CBO9781139177245.003
41. MITECO. (2020). Plan Nacional de Adaptación al Cambio Climático 2021-2030. España. Ministerio para la Transición Ecológica y el Reto Demográfico. Ministerio para la Transición Ecológica y el Reto Demográfico.
42. MSSSI. (n.d.). Impacts on Health of Climate C hange Executive summary, 2013. Informes, estudios e investigación Ministerio de sanidad, servicios sociales e igualdad.
43. Olmedo, R., Sánchez, M. N., Enríquez, R., Jiménez, M. J., & Heras María, R. (2016). ARFRISOL Buildings-UIE3-CIEMAT. In: Janssens A, editor. Report of Subtask 1a: Inventory of full scale test facilities for evaluation of building energy performances. IEA EBC Annex 58. www.ugent.be
44. OrtizBeviá, M. J., Sánchez-López, G., Alvarez-Garcìa, F. J., & RuizdeElvira, A. (2012). Evolution of heating and cooling degree-days in Spain: Trends and interannual variability. Global and Planetary Change, 92–93, 236–247. https://doi.org/10.1016/j.gloplacha.2012.05.023
45. Palme, M., & Salvati, A. (2021). Urban Microclimate Modelling for Comfort and Energy Studies. Urban Microclimate Modelling for Comfort and Energy Studies. https://doi.org/10.1007/978-3-030-65421-4
46. Pérez-Andreu, V., Aparicio-Fernández, C., Martínez-Ibernón, A., & Vivancos, J. L. (2018). Impact of climate change on heating and cooling energy demand in a residential building in a Mediterranean climate. Energy, 165, 63–74. https://doi.org/10.1016/j.energy.2018.09.015
47. Programs, A. (2022). EnergyPlusTM Version 22.1.0 Documentation.
48. Reiter, S. (2004). Correspondences between the conception principles of sustainable public spaces and the criteria of outdoor comfort.
49. Rodrigues, E., Fernandes, M. S., & Carvalho, D. (2023). Future weather generator for building performance research: An open-source morphing tool and an application. Building and Environment, 233. https://doi.org/10.1016/j.buildenv.2023.110104
50. Sánchez, M. N., Soutullo, S., Olmedo, R., Bravo, D., Castaño, S., & Jiménez, M. J. (2020). An experimental methodology to assess the climate impact on the energy performance of buildings: A ten-year evaluation in temperate and cold desert areas. Applied Energy, 264(February), 114730. https://doi.org/10.1016/j.apenergy.2020.114730
51. Scortichini, M., de Sario, M., De’donato, F. K., Davoli, M., Michelozzi, P., & Stafoggia, M. (2018). Short-term effects of heat on mortality and effect modification by air pollution in 25 italian cities. International Journal of Environmental Research and Public Health, 15(8). https://doi.org/10.3390/ijerph15081771
52. Sirombo, E., Filippi, M., Catalano, A., & Sica, A. (2017). Building monitoring system in a large social housing intervention in Northern Italy. Energy Procedia, 140, 386–397. https://doi.org/10.1016/j.egypro.2017.11.151
53. Soutullo, S., Giancola, E., Jiménez, M. J., Ferrer, J. A., & Sánchez, M. N. (2020). How climate trends impact on the thermal performance of a typical residential building in Madrid. Energies, 13(1). https://doi.org/10.3390/en13010237
54. Thom, E. C. (1959). The Discomfort Index. Weatherwise, 12(2), 57–61. https://doi.org/10.1080/00431672.1959.9926960
55. Tselepidaki, I., Santamouris, M., Moustris, C., & Poulopoulou, G. (1992). Analysis of the summer discomfort index in Athens, Greece, for cooling purposes. In Energy and Buildings (Vol. 18). 42
56. Weir, E. (2002). Heat wave: first, protect the vulnerable. CMAJ : Canadian Medical Association Journal = Journal de l"Association Medicale Canadienne, 167(2), 169.
57. WMO-No. 8. (2012). Guide to Instruments and Methods of Observation| World Meteorological Organization. https://community.wmo.int/en/activity-areas/imop/wmo-no_8
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