TY - JOUR
T1 - Initial approximation of the implications for architecture due to climate change
AU - Andrić, Ivan
AU - Le Corre, Olivier
AU - Lacarrière, Bruno
AU - Ferrão, Paulo
AU - Al-Ghamdi, Sami G.
N1 - Generated from Scopus record by KAUST IRTS on 2023-02-14
PY - 2021/1/1
Y1 - 2021/1/1
N2 - This review paper organizes and summarizes the literature regarding climate change impacts on future building energy demand. The approaches used for the creation of future weather climate and building renovation scenarios, as well as building energy modeling at different scales, are evaluated. In general, it can be concluded that future heating demand could decrease (7–52%), while cooling demand could increase significantly (up to 1050%). The decrease/increase rates varied significantly depending on the climate and case study building(s) considered, with buildings and building energy systems located in extreme climates being more sensitive to such changes. The main uncertainty of the predicted increase/decrease rates can be assigned to climate models and forecasted weather data. Nonetheless, such forecast and risk assessment are necessary for sustainable development of urban environment and associated energy systems. Further development of dynamic large-scale building energy simulation tools is required, along with the development of large-scale building renovation measures and strategies that take into account additional aspects (such as economic and societal). Moreover, continuous efforts are required in further climate models’ improvement and uncertainty reduction.
AB - This review paper organizes and summarizes the literature regarding climate change impacts on future building energy demand. The approaches used for the creation of future weather climate and building renovation scenarios, as well as building energy modeling at different scales, are evaluated. In general, it can be concluded that future heating demand could decrease (7–52%), while cooling demand could increase significantly (up to 1050%). The decrease/increase rates varied significantly depending on the climate and case study building(s) considered, with buildings and building energy systems located in extreme climates being more sensitive to such changes. The main uncertainty of the predicted increase/decrease rates can be assigned to climate models and forecasted weather data. Nonetheless, such forecast and risk assessment are necessary for sustainable development of urban environment and associated energy systems. Further development of dynamic large-scale building energy simulation tools is required, along with the development of large-scale building renovation measures and strategies that take into account additional aspects (such as economic and societal). Moreover, continuous efforts are required in further climate models’ improvement and uncertainty reduction.
UR - https://www.tandfonline.com/doi/full/10.1080/17512549.2018.1562980
UR - http://www.scopus.com/inward/record.url?scp=85070781943&partnerID=8YFLogxK
U2 - 10.1080/17512549.2018.1562980
DO - 10.1080/17512549.2018.1562980
M3 - Article
SN - 1751-2549
VL - 15
SP - 337
EP - 367
JO - Advances in Building Energy Research
JF - Advances in Building Energy Research
IS - 3
ER -