I made a survey of 777 participants about outdoor thermal comfort sensation along with micrometeorological onsite measurements. With the data I?ve calculated PET with RayMan for each participant and clustered those into PET bins of 1°C interval, and then assigned to each bin the corresponding average of the Thermal Sensation Votes (-3 to +3 thermal sensation scale) given by the participants, according to the corresponding PET bin, and obtaining the Mean Thermal Sensation Votes (MTSV) for each PET bin.

Then, in order to define the neutral temperature of men and women I fitted a liner regression line produced from plotting MTSVs against each PET bin, obtaining a regression equation for each gender?s MTSV: y=-2.4+0.08x (men) and y=-2.95+0.09x (women).

The problem is that by solving for zero in the equations the neutral temperature was determined to be 30 ?C (men) and 32.7 ?C (women)? That?s way too high!

This is Cuenca- Ecuador, a temperate climate, and according to literature it should be a neutral zone between 18 to 23 °C. I?ve checked out all variables over and over again and these are correctly introduced, the only thing that lowers PET results is by arbitrary lowering the Global radiation G (W/m2), but this data is introduced according to local measurements. I?ve employed input Datafile and Sky view factor only.

What could be the problem? Do you have any suggestions?
Thank you.