PMV–PPD and acceptability in naturally ventilated schools

Alfano, Francesca Romana d’Ambrosio; Ianniello, Elvira; Palella, Boris Igor

doi:10.1016/j.buildenv.2013.05.013

Cited by 128 publications

(40 citation statements)

References 26 publications

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“…A c c e p t e d M a n u s c r i p t 21 By doing that, authors concluded that PMV was effective in predicting thermal comfort in the studied naturally ventilated environments [201].…”

Section: Thermal Comfort In Schoolsmentioning

confidence: 98%

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A review of human thermal comfort in the built environment

Rupp

Vásquez

Lamberts

2015

Energy and Buildings

662

282

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“…A c c e p t e d M a n u s c r i p t 21 By doing that, authors concluded that PMV was effective in predicting thermal comfort in the studied naturally ventilated environments [201].…”

Section: Thermal Comfort In Schoolsmentioning

confidence: 98%

“…Based on data from more than 4,000 Italian students during the winter and the summer in about 200 naturally ventilated classrooms, the expectancy factor for the Mediterranean climate was proposed [201]. The expectancy factor when multiplied by PMV could correct the index for use in naturally ventilated environments.…”

Section: Thermal Comfort In Schoolsmentioning

confidence: 99%

A review of human thermal comfort in the built environment

Rupp

Vásquez

Lamberts

2015

Energy and Buildings

662

282

View full text Add to dashboard Cite

“…It applies as a fraction to the calculated original PMV value, and adjusts the prediction results closer to the observed mean vote. Nevertheless, the expectancy value has been shown to not only apply to non-AC building in warm climates, but also to different building types and locations [30][31][32][33].…”

Section: Factors Leading To Discrepancymentioning

confidence: 99%

Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II

Cheung

Schiavon

Parkinson

et al. 2019

Building and Environment

325

117

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The predicted mean vote (PMV) and predicted percentage of dissatisfied (PPD) are the most widely used thermal comfort indices. Yet, their performance remains a contested topic. The ASHRAE Global Thermal Comfort Database II, the largest of its kind, was used to evaluate the prediction accuracy of the PMV/PPD model. We focused on: (i) the accuracy of PMV in predicting both observed thermal sensation (OTS) or observed mean vote (OMV) and (ii) comparing the PMV-PPD relationship with binned OTS -observed percentage of unacceptability (OPU). The accuracy of PMV in predicting OTS was only 34%, meaning that the thermal sensation is incorrectly predicted two out of three times. PMV had a mean absolute error of one unit on the thermal sensation scale and its accuracy decreased towards the ends of the thermal sensation scale. The accuracy of PMV was similarly low for air-conditioned, naturally ventilated and mixed-mode buildings. In addition, the PPD was not able to predict the dissatisfaction rate. If the PMV model would perfectly predict thermal sensation, then PPD accuracy is higher close to neutrality but it would overestimate dissatisfaction by approximately 15-25% outside of it. Furthermore, PMV-PPD accuracy varied strongly between ventilation strategies, building types and climate groups. These findings demonstrate the low prediction accuracy of the PMV-PPD model, indicating the need to develop high prediction accuracy thermal comfort models. For demonstration, we developed a simple thermal prediction model just based on air temperature and its accuracy, for this database, was higher than PMV.

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“…In this regard, and in spite of Predicted Mean Vote (PMV) is the most common indicator used to predict the thermal sensation, it is also known that its reliability for non-air conditioned spaces is called into question [18]. Thus, there is some research to obtain an expectancy factor which corrects the PMV value, even focused on Mediterranean schools [19]; but since PMV indicator is calculated only with psychological parameters and considers occupants just as passive sensors, research has been focused on adaptive comfort. That is why all adaptive indicators [20]- [24] calculated include dynamical interactions, as occupants' control of clothing insulation, operable windows or solar protections.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Perceived Thermal Comfort in a Portuguese Secondary School: Methodology and Results

Campano¹,

Pinto²,

Acosta³

et al. 2017

IJET

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This paper presents a methodology to assess the thermal environment in non-university classrooms, using the example of the results obtained from a multipurpose classroom of a Portuguese secondary school during a week of November. According to the defined protocol, both hygrothermal parameter values and thermal assessments were obtained and used for the calculation of both static and adaptive thermal comfort indicators, including Matias' Portuguese adaptive comfort indicator. Occupants perceived a neutral thermal environment (Thermal Sensation Vote, TSV, of-0.03), while their thermal preference was a warmer environment (Thermal Preference Vote, TPV, of +0.64). Female occupants tended to demand a warmer environment during this study, despite their thermal perception was similar to male occupants. Predicted Mean Vote (PMV) was lower than TSV in 0.35 points, so it underestimates occupants' real thermal perception. When occupants' acceptance vote are compared with Adaptive indicators, Matias' obtains similar acceptance values (80 %) than the occupants' assessments (85 %), while ASHRAE indicator shows lower values (27 %). In conclusion, the exposed methodology allows to characterise the thermal comfort level of Iberian non-university classrooms, so further investigation is required.

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PMV–PPD and acceptability in naturally ventilated schools

Cited by 128 publications

References 26 publications

A review of human thermal comfort in the built environment

A review of human thermal comfort in the built environment

Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II

Analysis of the Perceived Thermal Comfort in a Portuguese Secondary School: Methodology and Results

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