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Uncertainty analysis of thermal comfort parameters.

Ribeiro, A S*; Sousa, J A E*; Cox, M G; Forbes, A B; Matias, L C*; Martins, L L* (2015) Uncertainty analysis of thermal comfort parameters. Int. J. Thermophysics, 36 (8). pp. 2124-2149.

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Abstract

International Standard ISO 7730:2005 defines thermal comfort as that condition of mind that expresses the degree of satisfaction with the thermal environment. Although this definition is inevitably subjective, the Standard gives formulae for two thermal comfort indexes, PMV (Predicted Mean Vote) and PPD (Predicted Percentage of Dissatisfied). The PMV formula is based on principles of heat balance and experimental data collected in a controlled climate chamber under steady-state conditions. The PPD formula depends only on PMV. Although these formulae are widely recognized and adopted, little has been done to establish measurement uncertainties associated with their use, bearing in mind that the formul depend on measured values and tabulated values given to limited numerical accuracy. Knowledge of these uncertainties are invaluable when values provided by the formulae are used in making decisions in various health and civil engineering situations. This paper examines these formulae giving a general mechanism for evaluating the uncertainties associated with values of the quantities on which the formulae depend. Further, consideration is given to the propagation of these uncertainties through the formulae to provide uncertainties associated with the values obtained for the indexes. Current international guidance on uncertainty evaluation is utilized.

Item Type: Article
Keywords: Thermal Comfort, Uncertainty evaluation, GUM Supplement 1, Monte Carlo method
Subjects: Mathematics and Scientific Computing
Mathematics and Scientific Computing > Measurement Uncertainties
Identification number/DOI: 10.1007/s10765-015-1888-1
Last Modified: 02 Feb 2018 13:13
URI: http://eprintspublications.npl.co.uk/id/eprint/6822

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