This dataset comprises synthetic comfort profiles generated using ASHRAE global thermal comfort database I & II.There are two main folders. The first folder named "Plots", and contains 8 subfolders. Each subfolder contains 50 profiles for the specific climate and season. The first letter represents the climate and the second letter represents the season. For example: AS - climate A for summer season.The second folder named "Raw_Data_Profiles" contains the raw data (in CSV format) that makes the profiles. Each CSV file contains 51 rows. The first row includes the operative temperatures in degrees C. The other 50 rows include the raw data for the profiles. We used the following name convention: First Character - climat...
AbstractThe objective of this study was to develop an adaptive thermal comfort equation for naturall...
A comprehensive understanding of occupant comfort in mixed-mode (MM) buildings is crucial for the de...
Apart from the dominant environmental factors such as relative humidity, radiant, and ambient temper...
This dataset comprises synthetic comfort profiles generated using ASHRAE global thermal comfort data...
Recognizing the value of open-source research databases in advancing the art and science of HVAC, in...
Recognizing the value of open-source research databases in advancing the art and science of HVAC, in...
The assessment of local and short-term thermal discomfort in buildings has been widely investigated,...
Many studies addressed the effect of climate on thermal comfort by referring either to the developed...
We analyzed the ASHRAE Global Thermal Comfort Database II to answer a fundamental but overlooked que...
Recognizing the value of open-source research databases in advancing the art and science of HVAC, in...
The objective of this study was to develop an adaptive thermal comfort equation for naturally ventil...
AbstractThe objective of this study was to develop an adaptive thermal comfort equation for naturall...
A comprehensive understanding of occupant comfort in mixed-mode (MM) buildings is crucial for the de...
Apart from the dominant environmental factors such as relative humidity, radiant, and ambient temper...
This dataset comprises synthetic comfort profiles generated using ASHRAE global thermal comfort data...
Recognizing the value of open-source research databases in advancing the art and science of HVAC, in...
Recognizing the value of open-source research databases in advancing the art and science of HVAC, in...
The assessment of local and short-term thermal discomfort in buildings has been widely investigated,...
Many studies addressed the effect of climate on thermal comfort by referring either to the developed...
We analyzed the ASHRAE Global Thermal Comfort Database II to answer a fundamental but overlooked que...
Recognizing the value of open-source research databases in advancing the art and science of HVAC, in...
The objective of this study was to develop an adaptive thermal comfort equation for naturally ventil...
AbstractThe objective of this study was to develop an adaptive thermal comfort equation for naturall...
A comprehensive understanding of occupant comfort in mixed-mode (MM) buildings is crucial for the de...
Apart from the dominant environmental factors such as relative humidity, radiant, and ambient temper...