Technologies

time icon Aug. 2, 2017

Skin-Temperature Driven Thermal Sensation Prediction Model for Control of Indoor Environments

Technology description

Market Opportunity

Large office building air conditioning and heating systems are set to comfort ranges defined by industry standards. These outdated thermal sensation models fail to consider an individual’s physiological characteristics and ignore diverse physical conditions, often causing occupants to be “too hot” or “too cold.” In the U.S., thermal dissatisfaction of building occupants is higher than 60%. This also results in office buildings wasting energy and money on over-cooling and over-heating the building. There is a need for an improved air conditioning adjustment system for large office buildings.

USC Solution

USC researchers have developed a data-driven thermal sensation prediction model that takes into consideration varying comfort ranges. This model is based on various factors including occupant skin temperature measurements and their changing rates and has shown 94.4% accuracy in thermal sensation estimation.

Application area

  • Indoor thermal control
  • Smart building

Advantages

  • Saves building costs for air conditioning and heating
  • Minimizes thermal comfort complaints
  • Thermal sensation estimation is 94.4% accurate

由于技术保密工作限制,技术信息无法完全展现,请通过邮箱或短信联系我们,获取更多技术资料。

More information

Categories
  • Dermatology
  • Medical instruments
Keywords:

comfort ranges defined

individual’s physiological characteristics

large office buildings

thermal sensation estimation

下载 PDF 文档


感兴趣

Contact us

知繁业茂-yintrust logo知繁业茂-Branchly Innovation logo 知繁业茂-autmasia logo迈科技 logo