The IAQ4EDU project has developed a novel approach for thermal survey data enhancement

The IAQ4EDU project has developed a novel approach for thermal sensation vote calculation in the development of the thermal comfort model. The research has been published in the Journal of Building Engineering (JCR-Q1, Impact factor: 7.1) in December 2024, titled "A novel approach to calculate the mean thermal sensation vote for primary and secondary schools using Bayesian inference". This work was completed by doctoral student Sen Miao under the supervision of Prof. Marta Gangolells, principal investigator of the IAQ4EDU project, and Dr. Blanca Tejedor, project researcher.

Existing thermal comfort models defined in relevant standards are found to be inaccurate for students. This is often thought to be the difference in thermal perception between children and adults. However, an important factor that is often overlooked is the uncertainty associated with thermal comfort survey data. Existing methods for calculating the mean thermal sensation votes are too simple and do not properly handle the associated uncertainties. This research proposes a new method for calculating the mean thermal sensation vote data for primary and secondary schools using Bayesian inference to address this problem and develops an open software for the calculation.

The developed software application

Details can be found in the online version of the article:

https://doi.org/10.1016/j.jobe.2024.111595

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