Development of an adaptation table to enhance the accuracy of the predicted mean vote model

Li, Yu, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400, Guerriero, Annie, Zhang, Xingxing, Han, Mengjie, Kubicki, Sylvain and Yan, Da 2020. Development of an adaptation table to enhance the accuracy of the predicted mean vote model. Building and Environment 168 , 106504. 10.1016/j.buildenv.2019.106504

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Abstract

The Predicted Mean Vote (PMV) model is extensively used by current thermal comfort standards, such as ASHRAE 55 and ISO 7730, despite its discrepancy in predicting Thermal Sensation (TS). The implicit assumption is that PMV can be applied for predicting TS of a large population. Our statistical analysis of a subset of ASHRAE global database of thermal comfort field study shows that occupants’ expectations towards TS are affected by factors that are not accounted for in the classic PMV model, such as climate, building type, age group, season and gender. The influences of the climate and building type are more determinant. An adapted PMV (PMVa) model and an adaptation table were developed based on the selected samples to reduce this discrepancy. After adaptation, the medians of each category corresponding to the discrepancy are zero or near zero. The results also show that the adapted PMV outperforms the classic PMV in predicting TS, while increasing the overall accuracy from 36% to 39%.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0360-1323
Date of First Compliant Deposit:	7 November 2019
Date of Acceptance:	25 October 2019
Last Modified:	07 Nov 2023 03:29
URI:	https://orca.cardiff.ac.uk/id/eprint/126627

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