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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ribeiro, A. Silva Alves e Sousa, J. Cox, Maurice G. Forbes, Alistair B. Matias, L. Cordeiro Martins, L. Lages |
| Copyright Year | 2015 |
| 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 indices, predicted mean vote (PMV) and predicted percentage dissatisfied (PPD). 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 formulae 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 indices. Current international guidance on uncertainty evaluation is utilized. |
| Starting Page | 2124 |
| Ending Page | 2149 |
| Page Count | 26 |
| File Format | |
| ISSN | 0195928X |
| Journal | International Journal of Thermophysics |
| Volume Number | 36 |
| Issue Number | 8 |
| e-ISSN | 15729567 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-07-04 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Thermal comfort Uncertainty evaluation GUM GUM supplement 1 Monte Carlo method Condensed Matter Physics Mechanics Industrial Chemistry/Chemical Engineering Physical Chemistry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Condensed Matter Physics |
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