Cui, C;
Raslan, R;
Korolija, I;
(2021)
A bootstrap method to investigate the variability of overheating risk against the future climate uncertainty in dwellings.
In:
Proceedings of the Building Simulation 2021 Conference.
(pp. pp. 1-8).
International Building Performance Simulation Association (IBPSA)
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Abstract
Future overheating risk in dwellings can be potentially mitigated by minimising the variability of overheating hours against uncertainties in future climate via robust optimisation. However, the estimation of this variability value through the utilisation of percentile-based probabilistic weather data has yet to be sufficiently investigated. In this simulation-based study, the bootstrap method is used to quantify the accuracy of the variability estimation via percentilebased weather data. The results indicate significant overheating risk in regulation-compliant houses. An increased degree of difficulty is also suggested in obtaining accurate estimations when considering time periods further in the future and when assuming higher carbon emissions. In addition, the skew normal distribution can be used for a simpler and faster estimation, but the underlying uncertainties must be strengthened throughout its implementation.
| Type: | Proceedings paper |
|---|---|
| Title: | A bootstrap method to investigate the variability of overheating risk against the future climate uncertainty in dwellings |
| Event: | Building Simulation 2021 Conference |
| Location: | Bruges, Belgium |
| Dates: | 1st-3rd September 2021 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://bs2021.org/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10134738 |
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