A framework for an adaptive thermal heat balance model (ATHB)
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People accept much broader thermal conditions than anticipated by standards, and their perception of thermal conditions is much more dynamic.
“At the same time, research has shown that people accept much broader thermal conditions than anticipated by above standards [1,3,14,47], andtheir perception of thermal conditions is much more dynamic [48–51].”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [14]
Schweiker and Wagner modeled psychological adaptation by adjusting the metabolic rate either based on a fixed value related to a specific and fixed psychological effect or a variable value depending on indoor operative temperature.
“c. psychological adaptation by adjusting the metabolic rate either based on a fixed value related to a specific and fixed psychological effect such as the number of persons in a room or a variable value depending e.g. on indoor operative temperature.”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [14]
Schweiker and Wagner modeled physiological adaptation by adjusting the metabolic rate related to the given activity based on Trm.
“b. physiological adaptation by adjusting the metabolic rate related to the given activity (MET0) based on Trm through (2)”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [14]
Schweiker and Wagner modeled behavioral adaptation by adjusting the clothing insulation level based on the running mean outdoor temperature.
“a. behavioral adaptation by adjusting the clothing insulation level based on the running mean outdoor temperature (Trm) according to (1)”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [14]
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 [14]
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 [14]
The clothing insulation level of individuals is adapted to the outdoor and indoor conditions.
“In addition, research has shown that the clothing insulation level of individuals is adapted to the outdoor and indoor conditions [14,128–130].”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [14]
The ATHB approach adjusts metabolic rate to model psychological adaptation, following the assumption of a relationship between stress level (potentially increased by a lack of perceived control) and metabolic rate.
“The ATHB approach adjusts metabolic rate to model psychological adaptation, following the assumption of a relationship between stress level (potentially increased by a lack of perceived control) and metabolic rate [14].”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [14]
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References 37 · Cited by 140
- Authors
- Schweiker, M., & Wagner, A.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- Corresponding author
- Schweiker, Marcel
- Venue
- Building and Environment
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 94
- Pages
- 252-262
- ISSN
- 0360-1323 (ISSN-L)
- OpenAlex
- W1651348835
- Cited by
- 140
- References
- 37
- Citations by year
- 2026: 16 · 2025: 18 · 2024: 12 · 2023: 18 · 2022: 10 · 2021: 12 · 2020: 12 · 2019: 15 · 2018: 10 · 2017: 10 · 2016: 6 · 2015: 1
- FWCI
- 12.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Building and Environment (publishedVersion)
- Funders
- German Federal Ministry of Economics and Technology (0327241C, 03ET1035B)
- Seventh Framework Programme (PIRG08-GA-2010-277061)
- 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
- adaptive thermal comfort, heat balance model, PMV model, metabolic rate, naturally ventilated buildings, air-conditioned buildings, outdoor temperature
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