This work is licensed under the Creative Commons Attribution 4.0 International License.
Hoegh-Guldberg O., et al. The human imperative of stabilizing global climate change at 1.5 °C. Science 2019:365(6459). https://doi.org/10.1126/science.aaw6974Search in Google Scholar
Santamouris M., et al. Heat mitigation technologies can improve sustainability in cities. An holistic experimental and numerical impact assessment of urban overheating and related heat mitigation strategies on energy consumption, indoor comfort, vulnerability and heat-related mortality and morbidity in cities. Energy and Buildings 2020:217:110002. https://doi.org/10.1016/j.enbuild.2020.110002Search in Google Scholar
Santamouris M., Vasilakopoulou K. Present and future energy consumption of buildings: Challenges and opportunities towards decarbonisation. [Online], [Accessed: 04:04:2023]. Available: https://reader.elsevier.com/reader/sd/pii/S2772671121000024?token=4F6457740C0129AFB8E37F5A5E86E172D2DDFBE0E31089BB7EF61425F9DEC7307B909B3A14FA86565797E18E6343B195&originRegion=eu-west-1&originCreation=20230404110610Search in Google Scholar
Wang R., Lu S. A novel method of building climate subdivision oriented by reducing building energy demand. Energy and Buildings 2020:216:109999. https://doi.org/10.1016/j.enbuild.2020.109999Search in Google Scholar
Ibrahim A., Jimenez-Bescos C. Assessing the Performance Gap of Climate Change on Buildings Design Analytical Stages Using Future Weather Projections. Environmental and Climate Technologies 2020:24(3):119–134. https://doi.org/10.2478/rtuect-2020-0091Search in Google Scholar
Wang R., Lu S., Zhai X., Feng W. The energy performance and passive survivability of high thermal insulation buildings in future climate scenarios. Building Simulation 2022:15(7):1209–1225. https://doi.org/10.1007/s12273-021-0818-3Search in Google Scholar
Jimenez-Bescos C., Oregi X. Implementing User Behaviour on Dynamic Building Simulations for Energy Consumption. Environmental and Climate Technologies 2019:23(3):308–318. https://doi.org/10.2478/rtuect-2019-0097Search in Google Scholar
Laktuka K., Pakere I., Lauka D., Blumberga D., Volkova A. Long-Term Policy Recommendations for Improving the Efficiency of Heating and Cooling. Environmental and Climate Technologies 2021:25(1):382–391. https://doi.org/10.2478/rtuect-2021-0029Search in Google Scholar
Thapa S., et al. Simulation of thermal comfort and energy demand in buildings of sub-Himalayan eastern India. Impact of climate change at mid (2050) and distant (2080) future. Journal of Building Engineering 2023:68:106068. https://doi.org/10.1016/j.jobe.2023.106068Search in Google Scholar
Gao B., Zhu X., Ren J., Ran J., Kim M. K., Liu J. Multi-objective optimization of energy-saving measures and operation parameters for a newly retrofitted building in future climate conditions: A case study of an office building in Chengdu. Energy Reports 2023:9:2269–2285. https://doi.org/10.1016/j.egyr.2023.01.049Search in Google Scholar
Amaripadath D., Rahif R., Zuo W., Velickovic M., Voglaire C., Attia S. Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels. Energy and Buildings 2023:286:112971. https://doi.org/10.1016/j.enbuild.2023.112971Search in Google Scholar
Baba F. M., Ge H., Wang L., Zmeureanu R. Assessing and mitigating overheating risk in existing Canadian school buildings under extreme current and future climates. Energy and Buildings 2023:279:112710. https://doi.org/10.1016/j.enbuild.2022.112710Search in Google Scholar
Jiménez Torres M., Bienvenido-Huertas D., May Tzuc O., Bassam A., Ricalde Castellanos L. J., Flota-Bañuelos M. Assessment of climate change’s impact on energy demand in Mexican buildings: Projection in single-family houses based on Representative Concentration Pathways. Energy for Sustainable Development 2023:72:185–201. https://doi.org/10.1016/j.esd.2022.12.012Search in Google Scholar
Gaarder J. E., Friis N. K., Larsen I. S., Time B., Møller E. B., Kvande T. Optimization of thermal insulation thickness pertaining to embodied and operational GHG emissions in cold climates – Future and present cases. Building and Environment 2023:234:110187. https://doi.org/10.1016/j.buildenv.2023.110187Search in Google Scholar
Rodrigues L. T., Gillott M., Tetlow D. Summer overheating potential in a low-energy steel frame house in future climate scenarios. Sustainable Cities and Society 2023:7:1–15. https://doi.org/10.1016/j.scs.2012.03.004Search in Google Scholar
Al Huneidi D. I., Tahir F., Al-Ghamdi S. G. Energy modeling and photovoltaics integration as a mitigation measure for climate change impacts on energy demand. Energy Reports 2022:8:166–171. https://doi.org/10.1016/j.egyr.2022.01.105Search in Google Scholar
Ali U., Shamsi M. H., Hoare C., Mangina E., O’Donnell J. Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis. Energy and Buildings 2021:246:111073. https://doi.org/10.1016/j.enbuild.2021.111073Search in Google Scholar
Dochev I. Computing Residential Heat Demand in Urban Space using QGIS. A Case Study for Shumen, Bulgaria. 2016. [Online]. [Accessed: 14.04.2021]. Available: http://programm.corp.at/cdrom2016/files/CORP2016_proceedings.pdfSearch in Google Scholar
Digimap. [Online]. [Accessed: 28.09.2023]. Available: https://digimap.edina.ac.uk/Search in Google Scholar
Colouring London. [Accessed: 26.06.2021]. [Online]. Available: https://colouring.londonSearch in Google Scholar
Survey O. OS Data Hub. Free Maps & API Data for Developers. [Online]. [Accessed 28.09.2023]. Available: https://osdatahub.os.uk/Search in Google Scholar
London Datastore – Greater London Authority. [Online]. [Accessed: 28.09.2023]. Available: https://data.london.gov.uk/Search in Google Scholar
Episcope. Tabula. [Online]. [Accessed: 28.09.2023]. Available: https://episcope.eu/welcome/Search in Google Scholar
San José R., Pérez J. L., González R. M., Pecci J., Garzón A., Palacios M. Impacts of the 4.5 and 8.5 RCP global climate scenarios on urban meteorology and air quality: Application to Madrid, Antwerp, Milan, Helsinki and London. Journal of Computational and Applied Mathematics 2016:293:192–207. https://doi.org/10.1016/j.cam.2015.04.024Search in Google Scholar