Abstract: A simplified approach to thermal comfort was developed in Seventies by Rohles, who found a correlation between PMV, air temperature and relative humidity, easily sampled in the environment (for sedentary activity and clothing thermal insulation < 0.5 clo). In the present paper an improvement of the Rohles model was tried, in order to generalize results in a wider range of clothing thermal insulation (Icl = 0 - 1.65 clo). Instrumental and questionnaire data available from wide experimental campaigns carried out by the Authors in classrooms and open space offices were used to implement a simplified model for the PMV calculation based only on air temperature an relative humidity measurement. Instrumental data were implemented in a new model by means of a function PMV = PMV(T, RH) and diagrams PMV versus temperature, for different values of relative humidity, were traced. A total number of 9 equations and diagrams was obtained (for Male, Female and Both, and for three ranges of Icl). The standard deviation between measured and calculated data was also evaluated and a mean error on PMV of ±0.22 was found. Questionnaire results were elaborated in the same way, but no good results were obtained, therefore an approach with Neural Network could be tried in the future.
HVAC systems testing and check: a simplified model to predict thermal comfort conditions in moderate environments
RICCIARDI, PAOLA;
2013-01-01
Abstract
Abstract: A simplified approach to thermal comfort was developed in Seventies by Rohles, who found a correlation between PMV, air temperature and relative humidity, easily sampled in the environment (for sedentary activity and clothing thermal insulation < 0.5 clo). In the present paper an improvement of the Rohles model was tried, in order to generalize results in a wider range of clothing thermal insulation (Icl = 0 - 1.65 clo). Instrumental and questionnaire data available from wide experimental campaigns carried out by the Authors in classrooms and open space offices were used to implement a simplified model for the PMV calculation based only on air temperature an relative humidity measurement. Instrumental data were implemented in a new model by means of a function PMV = PMV(T, RH) and diagrams PMV versus temperature, for different values of relative humidity, were traced. A total number of 9 equations and diagrams was obtained (for Male, Female and Both, and for three ranges of Icl). The standard deviation between measured and calculated data was also evaluated and a mean error on PMV of ±0.22 was found. Questionnaire results were elaborated in the same way, but no good results were obtained, therefore an approach with Neural Network could be tried in the future.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
