Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam
Open accessAbstract
This study aims to improve the prediction accuracy of the rational standard thermal comfort model, known as the Predicted Mean Vote (PMV) model, by (1) calibrating one of its input variables “metabolic rate,” and (2) extending it by explicitly incorporating the variable running mean outdoor temperature (RMOT) that relates to adaptive thermal comfort. The analysis was performed with survey data (n = 1121) and climate measurements of the indoor and outdoor environment from a one year-long case study undertaken at Hermitage Amsterdam museum in the Netherlands. The PMVs were calculated for 35 survey days using (1) an a priori assumed metabolic rate, (2) a calibrated metabolic rate found by fitting the PMVs to the thermal sensation votes (TSVs) of each respondent using an optimization routine, and (3) extending the PMV model by including the RMOT. The results show that the calibrated metabolic rate is estimated to be 1.5 Met for this case study that was predominantly visited by elderly females. However, significant differences in metabolic rates have been revealed between adults and elderly showing the importance of differentiating between subpopulations. Hence, the standard tabular values, which only differentiate between various activities, may be oversimplified for many cases. Moreover, extending the PMV model with the RMOT substantially improves the thermal sensation prediction, but thermal sensation toward extreme cool and warm sensations remains partly underestimated.
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Using adjusted metabolic rates for subpopulations was found to improve the prediction of thermal comfort.
“and using adjusted metabolic rates for subpopulations were found to improve the prediction of thermal comfort [133].”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [133]
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Drivers of diversity in human thermal perception – A review for holistic comfort models
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- Authors
- Kramer, R., Schellen, L., Schellen, H., & Kingma, B.
- Affiliations
- Eindhoven University of Technology (NL)
- Avans University of Applied Sciences (NL)
- Maastricht University Medical Centre (NL)
- Corresponding author
- Kramer, Rick
- Venue
- Temperature
- Publisher
- Informa UK Limited
- Published
- 2017-03-20
- Volume
- 4
- Issue
- 2
- Pages
- 187-197
- ISSN
- 2332-8940 (ISSN-L)
- 2332-8959
- PMC
- PMC5489009
- OpenAlex
- W2603098236
- Cited by
- 12
- References
- 20
- Citations by year
- 2026: 2 · 2024: 2 · 2022: 4 · 2021: 2 · 2019: 1 · 2018: 1
- FWCI
- 0.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Temperature (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- TU/e Research Portal (submittedVersion, other-oa)
- TU/e Research Portal (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Technische Universiteit Eindhoven
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Health Sciences › Medicine › Physiology › Thermoregulation and physiological responses
- Keywords
- thermal comfort prediction, adaptive thermal comfort, subpopulation differences, elderly visitors, museum visitors, thermal sensation vote, indoor climate
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