@article{tartarini2020comfort,
title = {{CBE} Thermal Comfort Tool: Online tool for thermal comfort calculations and visualizations},
author = {Federico Tartarini and Stefano Schiavon and Toby Cheung and Tyler Hoyt},
journal = {SoftwareX},
volume = {12},
pages = {100563},
year = {2020},
issn = {2352-7110},
doi = {10.1016/j.softx.2020.100563},
url = {https://www.sciencedirect.com/science/article/pii/S2352711020302454},
urldate={2024-02-19},
copyright={Creative Commons Attribution 4.0 International},
keywords = {Thermal comfort, Predicted Mean Vote, Adaptive comfort models, Local thermal discomfort},
abstract = {The Center for the Built Environment (CBE) Thermal Comfort Tool is a free online tool for thermal comfort calculations and visualizations that complies with the ASHRAE~55-2017, ISO~7730:2005 and EN~16798-1:2019 Standards. It incorporates the major thermal comfort models, including the Predicted Mean Vote (PMV), Standard Effective Temperature (SET), adaptive models, local discomfort models, SolarCal, and dynamic predictive clothing insulation. Our tool also provides dynamic and interactive visualizations of thermal comfort zones. The CBE Thermal Comfort Tool has several practical applications and each year is used by more than 49,000 users worldwide, including engineers, architects, researchers, educators, facility managers and policymakers.},
annote={The code is available at https://github.com/CenterForTheBuiltEnvironment/comfort_tool under a GNU GPL 2 licence.},
}