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

Eric Teitelbaum, Hongshan Guo, Jake Read, Forrest Meggers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publication15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
EditorsCharles S. Barnaby, Michael Wetter
PublisherInternational Building Performance Simulation Association
Pages610-617
Number of pages8
ISBN (Electronic)9781510870673
DOIs
StatePublished - 2017
Event15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017 - San Francisco, United States
Duration: Aug 7 2017Aug 9 2017

Publication series

NameBuilding Simulation Conference Proceedings
Volume2
ISSN (Print)2522-2708

Conference

Conference15th International Conference of the International Building Performance Simulation Association, Building Simulation 2017
Country/TerritoryUnited States
CitySan Francisco
Period8/7/178/9/17

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Architecture
  • Modeling and Simulation
  • Computer Science Applications

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