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Cited by 1,483

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Thermal adaptation in the built environment: a literature review

Open access
Brager, Gail S., de Dear, Richard J.·1998·Energy and Buildings

Abstract

This paper presents the results of an extensive literature review on the topic of thermal adaptations in the built environment. The adaptive approach to modeling thermal comfort acknowledges the thermal perception in 'real world' settings is influenced by the complexities of past thermal history and cultural and technical practices. An important premise of the adaptive model is that the person is no longer a passive recipient of the given thermal environment, but instead is an active agent interacting with the person-environment systems via multiple feedback loops. The thermal adaptation can be attributed to three different processes--behavioral adjustment, physiological acclimatization and psychological habituation or expectation. Both climate chamber and field evidence indicates that the slower process of acclimatization is not so relevant to thermal adaptation in the relatively moderate conditions found in buildings, whereas behavioral adjustments and expectations have a much greater influence. One of the most important findings from our review of field evidence was the distinction between thermal comfort responses in air-conditioned vs. naturally ventilated buildings, most likely resulting from a combination of past thermal history in the buildings and differences in levels of perceived control.

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Metadata

Authors
Brager, G. S., & de Dear, R. J.
Venue
Energy and Buildings
Publisher
Elsevier BV
Published
1998-02
Volume
27
Issue
1
Pages
83-96
ISSN
0378-7788 (ISSN-L)
OpenAlex
W2607407650
Cited by
1,483
References
1
FWCI
15.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Thermal adaptation in the built environment: a literature review. https://app.cochat.ai/papers/10.1016/s0378-7788(97)00053-4
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Brager, G. S., & de Dear, R. J. (1998). Thermal adaptation in the built environment: a literature review. Energy and Buildings. https://doi.org/10.1016/s0378-7788(97)00053-4

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.