Assessing The Representativeness Of Thermal
Comfort In Outdoor Spaces
Author(s)
R. Cocci Grifoni, M. Pierantozzi, S. Tascini & G. Passerini
Abstract
This paper presents preliminary findings of an outdoor thermal comfort study
conducted in an urban area to evaluate the representative Predicted Mean Vote
index. Thermal comfort in outdoor urban spaces is often faced with the task of
using large amounts of data that yields meaningful information concerning the
thermal sensation. It is essential to interpret correctly meteorological and thermal
comfort data. In particular, it is important to interpret data using an appropriate
statistical analysis, and the analysis of thermal comfort presupposes a synthesis
of information derived from a series of temporal data. It is indispensable to deal
with realistic data and an actual day should be considered, but the widely used
average day is not an actual day. On the contrary, the representative day is made
of the actual data of the day, in the period considered, where the sum of the
mean-square differences among its monitored quantities, averaged within each
hour, and the same quantities for all other days at the same hour, is minimised.
The goal of this research is to assess the representativeness of the thermal
comfort indices provided using a representative day technique. Specifically, a
new tool has been developed using a powerful and useful environment for
symbolic and numerical computing and data visualization such as Wolfram
MathematicaTM, aiming at linking information computed by a bio-climate
model to the representative day technique. The possibility of assessing the
diurnal variation of PMV thermal comfort index by introducing the
Representative Day technique has been evaluated in order to gather information
on the correlation between thermal comfort and meteorological parameters. A
case study has been analysed in order to improve the microclimate in an outdoor
space located in a typical Mediterranean area and a comparison with CFD code,
namely ENVI-MET, has been reported. This technique can prove to be a very
Keywords
representative day, predicted mean vote, predicted percentage of dissatisfied, outdoor thermal comfort, thermo fluid dynamic analysis
Related Book
Other papers in this volume
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