TY - JOUR
T1 - An analytical heat wave definition based on the impact on buildings and occupants
AU - Ramallo-González, Alfonso P.
AU - Eames, Matt E.
AU - Natarajan, Sukumar
AU - Fosas-de-Pando, Daniel
AU - Coley, David A.
N1 - Funding Information:
This research was carried out as part of the EPSRC funded project “The Creation of Localized and Future Weather for the Build Environment” (COLBE, EP/M021890/1 and EP/M022099/1) and supported by “Zero Peak Energy Building Design for India” (ZED-i, EP/R008612/1) and the “Active Building Centre” (ABC, EP/S016627/1). Ramallo-González would like to thank the program Saavedra Fajardo (grant number 220035/SF/16) funded by Consejería de Educación y Universidades of CARM, via Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia and the Spanish Ministry of Economy and Competitiveness through PERSEIDES funded with ERDF funds (ref. TIN2017-86885-R). The data used in this project can be found at the link below and should be cited as: Ramallo-González, A., Natarajan, S., Coley, D., Matt, E., Fosas, D., 2020. Dataset for “An Analytical Heat Wave Definition Based on the Im- pact on Buildings and Occupants”. Bath: University of Bath Research Data Archive. doi:10.15125/BATH-00775
Publisher Copyright:
© 2020
PY - 2020/6/1
Y1 - 2020/6/1
N2 - Alongside a mean global rise in temperature, climate change predictions point to an increase in heat waves and an associated rise in heat-related mortality. This suggests a growing need to ensure buildings are resilient to such events. Unfortunately, there is no agreed way of doing this, and no standard set of heatwaves for scientists or engineers to use. In addition, in all cases, heat waves are defined in terms of external conditions, yet, as the Paris heat wave of 2003 showed, people die in the industrialised world from the conditions inside buildings, not those outside. In this work, we reverse engineer external temperature time series from monitored conditions within a representative set of buildings during a heat wave. This generates a general probabilistic analytical relationship between internal and external heatwaves and thereby a standard set of events for testing resilience. These heat waves are by their simplicity ideal for discussions between clients and designers, or for the setting of national building codes. In addition, they provide a new framework for the declaration of a health emergency.
AB - Alongside a mean global rise in temperature, climate change predictions point to an increase in heat waves and an associated rise in heat-related mortality. This suggests a growing need to ensure buildings are resilient to such events. Unfortunately, there is no agreed way of doing this, and no standard set of heatwaves for scientists or engineers to use. In addition, in all cases, heat waves are defined in terms of external conditions, yet, as the Paris heat wave of 2003 showed, people die in the industrialised world from the conditions inside buildings, not those outside. In this work, we reverse engineer external temperature time series from monitored conditions within a representative set of buildings during a heat wave. This generates a general probabilistic analytical relationship between internal and external heatwaves and thereby a standard set of events for testing resilience. These heat waves are by their simplicity ideal for discussions between clients and designers, or for the setting of national building codes. In addition, they provide a new framework for the declaration of a health emergency.
KW - Buildings
KW - Heat wave
KW - Super-synthetic weather
UR - http://www.scopus.com/inward/record.url?scp=85082841907&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2020.109923
DO - 10.1016/j.enbuild.2020.109923
M3 - Article
AN - SCOPUS:85082841907
SN - 0378-7788
VL - 216
JO - Energy and buildings
JF - Energy and buildings
M1 - 109923
ER -