Thank you Edwin Rodriguez-Ubinas, but Operative Temperature is the dependent variable.

I'm talking about the external, independent variables, that explain the Operative Temperature in the adaptive model.

Humidity in thermal models is a little like a smoke detector - if it is working within its normal range, you do not notice it, it only comes to picture when it is high and blaring at you or when its battery got so low that the building burned down before you could be warned. Not my best simile, but I hope it gets the point across. Over the range of temperature you might note for Adaptive model (~18-31 C), humidity does not start to bother unless it is quite high or quite low. On low side, it can cause irritation of eyes, throat etc. On high side, I have noted 80% occupants to be okay with 31 C and partial pressure of water vapor at 3.2 kPa. That is about 20 gm of water per kg of dry air. This may be one of the reasons why most of the original adaptive thermal comfort models do not contain humidity.

This approach doesn't include humidity but could be adapted to do so. https://venturebeat.com/2019/03/22/ai-predicts-office-workers-room-temperature-preferences/

Thanks Mark Stetz!

Dear Leandro,

I copy below an answer I have given to a very similar question asking for adaptive comfort model and wind speed:

There is my ATHB approach, which combines

A) PMV and adaptive model (Schweiker, M. and Wagner, A., 2015. A framework for an adaptive thermal heat balance model (ATHB). Building and Environment, 94(Part 1), pp.252–262.),

B) SET and adaptive model (Schweiker, M. and Wagner, A., 2017. Influences on the predictive performance of thermal sensation indices. Building Research & Information, [online] 45(7), pp.745–758. ) or

C) TNZ and adaptive model (Schweiker, M., Huebner, G.M., Kingma, B.R.M., Kramer, R. and Pallubinsky, H., 2018. Drivers of diversity in human thermal perception – A review for holistic comfort models. Temperature, [online] pp.1–35. Available at: .).

As such, you can model adaptive effects together with the influence of air velocity, clothing insulation level and other factors available in PMV, SET, or TNZ. Still all versions are based on limited data and would require further validation, so that you are of course free to use them, but should carefully check your results.

All of those models above are implemented in the R package comf (https://cran.r-project.org/web/packages/comf/index.html) - check the following in R

?calcATHB for help

calcATHBpmv for equations of PMV application

calcATHBset for equations of SET application

?calcTNZPDF or calcTNZPDF for help on TNZ application or its equations

Let me know in case you have further questions or problems to use the R package.

Marcel

Thank you professor Marcel Schweiker!

I will devote time to study your material.

Dear Leandro,

We have used different survey's scales to investigate the accuracy of thermal comfort votes.

Maybe the following papers would be useful for you.

Hope you find your answer in them,

"A satisfaction-range approach for achieving thermal comfort level in a shared office"

https://www.sciencedirect.com/science/article/pii/S0360132318303512

"Investigating Occupancy-Driven Air-Conditioning Control Based on Thermal Comfort Level"

https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29AE.1943-5568.0000295

Many thanks Mehdi Pazhoohesh!

I'll read the papers!

use ASHRAE

Adaptive Models are based on the relationship between indoor operative temperature and RMOT, the running mean outdoor temperature. The operative temperature is calculated as the weighted arithmetic mean of the air temperature and the mean radiant temperature, being the weighting coefficients the heat transfer coefficients by convection and radiation. Thus, through the convection coefficient, there is also the indirect influence of the air velocity. In this point, from the set of four environmental variables characterizing an indoor thermal environment, the only one missing is humidity. The reason why the adaptive thermal comfort method works with some success without considering the effect of humidity is that, in a comfortable indoor environment (i.e. with temperatures in the range between 19 and 27ºC) occupied by people with sedentary activity (i.e with a metabolic rate between 1.0 and 1.3) there is almost no need of the sweating process as a human body heat loss. In this case, where there is almost no sweating, the influence of relative humidity in the thermal comfort is really very low. You may take a look @ Conference Paper SENSITIVITY OF THE PMV INDEX TO THE THERMAL COMFORT PARAMETERS

Just a last note about the role of RMOT. In my opinion what is hidden behind RMOT is mainly the amount of clothing that the building occupants are wearing each day, which is mostly influenced by the outdoor temperatures of the former days. In case people is coming with more clothing, the temperature inside the building can be lower than in case the people is coming with less clothing.

Article Influence of weather and indoor climate on clothing of occup...

There is a thermal comfort index somehow similar to the operative temperature, from the conceptual point of view, called standard effective temperature (SET *), where the effect of relative humidity is considered. SET* is the uniform temperature of an imaginary enclosure, with a a relative humidity of 50%, where the occupant would lose the same amount of heat as in the actual environment. A possible track to be explored is an adaptive model where the operative temperature could be replaced by SET*

More informatiom about SET* @ Article Development of a new thermal environment meter responding bo...

Thanks for very informative and valuable explanation which is above.

Thank you very much for the answer Professor Manuel Carlos Gameiro da Silva!

I believe no.

I strongly recommend reading the approach here:

Article Crowdsensing for a sustainable comfort and for energy saving

Thank you very much for the collaboration Omar O. Elrawy!

Thank you for your collaboration Harimi Djamila!

good collaboration

Dear Leandro,

With ASHRAE Standard-55, you can determine analytically the adaptive comfort range of the studied building with just only the -average monthly Dry Bulb Temperatures DBT (without using %RH values) of winter and summer periods provided from your meteorological station.

Sincerely,

Mouatassim Charai.

ASHRAE 55