Advanced indoor thermal environment control using occupant's mean facial skin temperature and clothing level

Xuan Li, Zhipeng Deng, Zhu Shi, Qingyan Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

People spend most time indoors, thus it is crucial to provide comfortable indoor thermal environment for occupants. This study developed an indoor thermal environment control strategy that can adjust thermostat setpoint accordingly and timely to optimize occupant's thermal comfort based on clothing level and mean facial skin temperature. The clothing level was measured by an RGB camera combined with a neural-network-based program. The mean facial skin temperature was measured by a long wave infrared (LWIR) camera combined with a face detection program. The clothing level measured was used to determine the temperature setpoint in an office. According to the mean facial skin temperature measured, the setpoint could be further adjusted. This investigation has validated this control strategy and found that 91% of the subjects tested felt neutral in the office.

Original languageEnglish
Title of host publication16th Conference of the International Society of Indoor Air Quality and Climate
Subtitle of host publicationCreative and Smart Solutions for Better Built Environments, Indoor Air 2020
PublisherInternational Society of Indoor Air Quality and Climate
ISBN (Electronic)9781713823605
Publication statusPublished - 2020
Event16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020 - Virtual, Online
Duration: 1 Nov 2020 → …

Publication series

Name16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020

Conference

Conference16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020
CityVirtual, Online
Period1/11/20 → …

Keywords

  • Convolutional neural network
  • Thermal comfort
  • Thermostat setpoint control

ASJC Scopus subject areas

  • Building and Construction
  • Computer Science Applications
  • Health, Toxicology and Mutagenesis
  • Pollution

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