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Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam

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 temperat...

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Autores principales: Kramer, Rick, Schellen, Lisje, Schellen, Henk, Kingma, Boris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489009/
https://www.ncbi.nlm.nih.gov/pubmed/28680934
http://dx.doi.org/10.1080/23328940.2017.1301851
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author Kramer, Rick
Schellen, Lisje
Schellen, Henk
Kingma, Boris
author_facet Kramer, Rick
Schellen, Lisje
Schellen, Henk
Kingma, Boris
author_sort Kramer, Rick
collection PubMed
description 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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spelling pubmed-54890092017-07-05 Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam Kramer, Rick Schellen, Lisje Schellen, Henk Kingma, Boris Temperature (Austin) Research Paper 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. Taylor & Francis 2017-03-20 /pmc/articles/PMC5489009/ /pubmed/28680934 http://dx.doi.org/10.1080/23328940.2017.1301851 Text en © 2017 The Author(s). Published with license by Taylor & Francis http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Kramer, Rick
Schellen, Lisje
Schellen, Henk
Kingma, Boris
Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam
title Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam
title_full Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam
title_fullStr Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam
title_full_unstemmed Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam
title_short Improving rational thermal comfort prediction by using subpopulation characteristics: A case study at Hermitage Amsterdam
title_sort improving rational thermal comfort prediction by using subpopulation characteristics: a case study at hermitage amsterdam
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489009/
https://www.ncbi.nlm.nih.gov/pubmed/28680934
http://dx.doi.org/10.1080/23328940.2017.1301851
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