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Open AccessArticle

Fifty Years of PMV Model: Reliability, Implementation and Design of Software for Its Calculation

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DIIn Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, Via Giovanni Paolo II 132, Fisciano, 84084 Salerno, Italy
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Department of Civil Engineering, International Centre for Indoor Environment and Energy, Nils Koppels Alle, Building 402, DK-2800 Lyngby, Denmark
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DII—Dipartimento di Ingegneria Industriale, Università degli Studi di Napoli Federico II, Piazzale Vincenzo Tecchio 80, 80125 Naples, Italy
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Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 49; https://doi.org/10.3390/atmos11010049
Received: 11 December 2019 / Revised: 23 December 2019 / Accepted: 24 December 2019 / Published: 29 December 2019
(This article belongs to the Special Issue Indoor Thermal Comfort)
In most countries, PMV is the reference index for the assessment of thermal comfort conditions in mechanically conditioned environments. It is also the basis to settle input values of the operative temperature for heating and cooling load calculations, sizing of equipment, and energy calculations according to EN 16798-1 and 16798-2 Standards. Over the years, great effort has been spent to study the reliability of PMV, whereas few investigations were addressed to its calculation. To study this issue, the most significant apps devoted to its calculation have been compared with a reference software compliant with EN ISO 7730 and the well-known ASHRAE Thermal Comfort Tool. It has been revealed that only few apps consider all six variables responsible for the thermal comfort. Relative air velocity is not considered by ASHRAE Thermal Comfort Tool and, finally, the correction of basic insulation values due to body movements introduced by EN ISO 7730 and EN ISO 9920 Standards has only been considered in one case. This implies that most software and apps for the calculation of PMV index should be used with special care, especially by unexperienced users. This applies to both research and application fields. View Full-Text
Keywords: PMV; comfort indices; thermal comfort; software; app; building simulation PMV; comfort indices; thermal comfort; software; app; building simulation
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d’Ambrosio Alfano, F.R.; Olesen, B.W.; Palella, B.I.; Pepe, D.; Riccio, G. Fifty Years of PMV Model: Reliability, Implementation and Design of Software for Its Calculation. Atmosphere 2020, 11, 49.

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