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Cited by 31Building Energy and Comfort OptimizationUrban Heat Island MitigationWind and Air Flow Studies

Influences on the predictive performance of thermal sensation indices

Schweiker, Marcel, Wagner, Andreas·2017·Building Research & Information
DOI 10.1080/09613218.2017.1256673
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Abstract

Understanding humans’ perception of the thermal built environment is one of the prerequisites for designing satisfactory workplaces and related to their energy use. This paper compares the predictive performance of nine thermal comfort indices with respect to the population mean and individual votes together with the effect of false assumptions of metabolic rate, clothing level, and air velocity on this performance. In addition, the potential to customize the indices to the building level, e.g. by means of the coefficient for psychological adaptation, PSYCH, included in the adaptive thermal heat-balance (ATHB) model is analysed. The analysis of field data from two naturally ventilated and four mixed-mode office buildings showed that the ATHB indices outperform the other indices in terms of predicting thermal sensation. The effect of false assumption is larger for predicted mean vote (PMV)-based models compared with standard effective temperature (SET)-based models. In addition, customization revealed no clear distinction between naturally and mixed-mode buildings, which suggests that other factors are more influential. These results are discussed with respect to the potential of the ATHB approach to account for differences in building control characteristics and the way thermal comfort is addressed in related standards.

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Crossref · 10.1080/09613218.2017.1256673

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  • Recent works evaluating predictive performance showed that only between 30% and 50% of individual thermal sensation votes were predicted correctly.

    “Not surprisingly, recent works evaluating the predictive performance of several of these models showed that only between 30% and 50% of individual thermal sensation votes were predicted correctly [13].”

    From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [13]

  • The ATHB approach offers a framework to include individual processes of thermal adaptation into the heat balance by Fanger and the SET model by Gagge.

    “The ATHB approach [13,14] offers a framework to include individual processes of thermal adaptation (behavioral, physiological, psychological) into the heat balance by Fanger [14] and the SET model by Gagge [13,14].”

    From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [13]

  • The approach by Schweiker et al. adjusts the metabolic rate as input to either PMV and/or SET calculation to model effects of physiological adaptation, and as a result, the output of the PMV model aligns with the results of the adaptive comfort model.

    “A first intent can be seen in the approach by Schweiker et al., which adjusts the metabolic rate as input to either PMV [13,14] and/or SET [13] calculation to model effects of physiological adaptation as described in section ”Methodology”, Equation (2). As a result, the output of the PMV model aligns with the results of the adaptive comfort model [13,14].”

    From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [13]

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Authors
Schweiker, M., & Wagner, A.
Affiliations
Karlsruhe Institute of Technology (DE)
Corresponding author
Schweiker, Marcel
ORCID
Venue
Building Research & Information
Publisher
Informa UK Limited
Published
2016-12-14
Volume
45
Issue
7
Pages
745-758
ISSN
  • 0961-3218 (ISSN-L)
  • 1466-4321
DOI
10.1080/09613218.2017.1256673
OpenAlex
W2566150397
Cited by
31
References
36
Citations by year
2026: 6 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 8 · 2019: 3 · 2018: 1
FWCI
1.47
Type
journal article
Language
en
Open access
closed
Locations
Building Research & Information (publishedVersion)
Funders
Baden-Württemberg Stiftung
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
  • Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
Keywords
thermal comfort index, thermal sensation prediction, predicted mean vote, standard effective temperature, naturally ventilated buildings, metabolic rate, air velocity, psychological adjustment, workplace thermal environment

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