Thermal Resilience to Extreme Heat

Preliminary Study on Thermal Fragility Curves

Conference Paper (2025)
Authors

K.J. Kim (TU Delft - Building Design & Technology)

Simona Bianchi (TU Delft - Structures & Materials)

T Konstantinou (Architectural Technology)

M. Overend (Architectural Technology)

J. Ciurlanti (Arup)

Alessandra Luna-Navarro (TU Delft - Building Design & Technology)

Research Group
Building Design & Technology
To reference this document use:
https://doi.org/10.1007/978-981-97-8309-0_47
More Info
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Publication Year
2025
Language
English
Research Group
Building Design & Technology
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
350-357
ISBN (print)
['978-981-97-8308-3', '978-981-97-8311-3']
ISBN (electronic)
978-981-97-8309-0
DOI:
https://doi.org/10.1007/978-981-97-8309-0_47
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Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The increasing frequency and intensity of heatwaves raises questions about the thermal vulnerability of buildings and, in particular, on how to assess their resilience to extreme heat. In this context, thermal fragility curves, which describe the probability of achieving or exceeding specific temperature thresholds for a building, serve as an effective measure to define the thermal vulnerability of existing buildings and identify tailored retrofit strategies. This study focuses on deriving thermal fragility curves for a case study: a 6-storey residential building constructed in the 1980s with a reinforced concrete structure and masonry infill walls. Dynamic thermal modeling and simulation were conducted over a one-year period using synthetic weather files generated to account for future heatwaves. The simulation results provide useful relationships in particular between: outdoor temperature and indoor Standard Effective Temperature (SET); and between outdoor daily maximum temperature and indoor SET. These relationships were finally analyzed to create and compare fragility curves using maximum likelihood fitting and the so-called Cloud methodology.

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