Mapping comfort with the smart (spherical motion average radiant temperature) sensor

Abstract

The understanding of thermal comfort has improved significantly since the introduction of the Fanger comfort model (1970), yet Predicted Mean Vote (PMV) and its adapted versions still are the predominantly used forms (Rupp et al., 2015). Out of the six variables contributing to the PMV values and occupant thermal comfort, Mean Radiant Temperature (MRT) and radiant exchanges account for up to half of an occupant’s net heat loss. To better model the relationship between the human body and the radiant temperatures, a device to measure the MRT throughout an occupied space is required. This is a currently relevant piece of equipment as the number of radiant heating and cooling systems is increasing not only in the United States, but all around the world (Lin et al., 2016). We present the development and implementation of the SMART (Spherical Motion Average Radiant Temperature) Sensor as a means to improve available data and representation of comfort in building spaces.