Dear Sarfaraz Alam,

I suggested recently a new procedure for predicting and analysing comfort temperature from meta-analysis. You may refer to the article:

Indoor thermal comfort predictions: Selected issues and trends. Renewable and Sustainable Energy Reviews. Volume 74, July 2017, Pages 569-580.

Best Wishes,

Djamila

First thing you must do, before going onto questionnaires, is design your study:

-decide on what is the hypothesis that you want to test

-decide what are the research questions that you want answered from the survey.

There are several samples of thermal comfort questionnaire availale in literature. A good starting point is ASHRAE Standard 55 and the ASHRAE Performance Mesurement Protocols for Commercial Buildings.

Decide on if your questionnaire is going to be paper based, app based, or webpage based (or some other variation)

Have a care regarding who the target participants are, there education level, age etc.

Test run draft questionnaire with a few friends

Do not make too longwinded questionnaires. Participants will not respon very well to them

Thanking you for giving me this valuable information

Dear Sarfaraz Alam,

Due to thermal comfort is a function of air temperature, air velocity, humidity, glob temperature, clothing value and occupant activity ,You can define two IEQ assessment gauges. the semantic differential scale r1 and the dichotomous scale r2, to form an integrated framework to record the occupant answers. As a means to estimate answer validity, scale r1 indicates “cold, cool, slightly cool, neutral, slightly warm, warm, hot” for valuing air temperature assessment, or“ much too still, too still, slightly still, just right, slightly breezy, too breezy, much too breezy” for air flow or“ much too dry ,too dry, slightly dry ,just right ,slightly humid ,too humid , much too humid for humidity. Each answer has a value for analyzing data from (-3) to (+3).

Scale r2 determines direct feedback through the question: “Is the thermal environment acceptable to you?”, and there are two ranks: “(1) acceptable” and “(0) unacceptable”. The ratings from scale r2 is used to determine the acceptable range of IEQ factors. Also, you can determine the clothing value in your questionnaire.

Thermal comfort:

1) How do you feel about the temperature at this moment?

( )cold ( )Cool ( )Slightly cool ( )Neutral ( )Slightly warm ( )Warm ( )Hot

2) How do you feel about the air flow at this moment?

( )Much too still( )Too still( )slightly still( )Just right( ) Slightly breezy( )Too breezy( ) Much too breezy

3) How do you feel at this moment in terms of humidity?

( ) Much too dry ( )Too dry ( ) slightly dry ( )Just right ( )Slightly humid ()Too humid ( ) Much too humid

4) Using the list below, Please check each item of clothing that you are wearing right now:(check all that apply):

( ) Short-sleeve shirt ( ) Dress ( ) Nylons

( ) Long-sleeve shirt ( ) Socks ( ) T-shirt

( ) Athletic sweatpants ( ) Boots ( ) Long sleeve sweatshirt

( ) Trousers ( ) Shoes ( ) Sweater

( ) Undershirt ( ) Sandals ( ) Vest

( ) Long underwear bottom ( ) Jacket ( ) Long-sleeve coveralls

( ) Knee-length skirt ( ) Overalls ( ) Ankle-length skirt

( ) Other: (Please note if you are wearing something not described above) ------------

5) Is the thermal environment acceptable to you?

( ) Acceptable ( ) Unacceptable

Dear Sarfaraz,

in addiction to the previous answers reported above, you can consider as an example, the survey reported in the ASHRAE 55.

Regards,

Francesco

Dear Sarfaraz Alam,

I suggested recently a new procedure for predicting and analysing comfort temperature from meta-analysis. You may refer to the article:

Indoor thermal comfort predictions: Selected issues and trends. Renewable and Sustainable Energy Reviews. Volume 74, July 2017, Pages 569-580.

Best Wishes,

Djamila

can you please send me article to [email protected]

I recommend reviewing ISO 7730:2005 ”Ergonomics of the thermal environment -- Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria” for support on TC questionnaires.

very good work

You can get a sample of questions that mentioned in ASHRAE as a base for your questionnaire development, and get benefit from what Asadi has sent to you. my note here is only you should add a question asking the participants about their last hour activities. in order to get accurate metabolic rate, which is crucial in the estimating of Thermal comfort by Predictive method.

The methodology is depend on your aim and objectives. In my opinion both (predictive) and (Adaptive) methods should be conducted in the evaluation of Thermal comfort in order to get comprehensive estimation about thermal comfort..... Good luck

I suggest to consider also the paper reported below where the Thermal Sensation Vote (TSV) expressed by the user through a web-based survey are compared with the indices provided by the Standards EN ISO 7730:2005 and ASHRAE 55:2017, PMV and the Graphic Comfort Zone Method (GCZM), respectively. The collected data are then used for machine learning in order to predict the users profile:

Article Integrated Method for Personal Thermal Comfort Assessment an...

Follow Standards, such as ASHRAE 55, ISO 10551 and ISO 7730. ISO 10551 is very helpful in creating the thermal comfort judgement scales, have a look here:

https://www.iso.org/standard/18636.html