Determination of the Thermally Comfortable Air Temperature with Consideration of Individual Clothing and Activity as Preparation for a New Smart Home Heating System

Proceedings

Binsfeld, Carole¹  Peikos, Alexander² 

[1] Author to whom correspondence should be addressed.;Chair of Building Physics, TUM Department of Civil, Geo and Environmental Engineering, Technical University of Munich, 80333 München, Germany

关键词: Smart Home;    Thermal Comfort;    Predicted Mean Vote;    Radio Frequency Identification;   

DOI  :  10.3390/proceedings2191224

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

The aim of this paper is to determine a thermally comfortable air temperature in an automated living room. This calculated temperature should serve as input for a user-specific and dynamic heating control in an automated living space. In addition to the usual physical factors (air temperature, humidity, air velocity and radiation temperature), individual clothing and activity should be taken into account. The calculation of such a temperature is based on different methods and indices which are usually used for the evaluation of the thermal comfort. The thermal insulation of the worn clothing is determined by 3 different methods. These is a radio frequency identification system, a thermal imaging camera system and a theoretical calculation of the clothing likely to be worn based on temperature data. The activity performed is only taken into account indirectly through the generated heart rate. All these methods are ultimately very well suited for use in temperature regulation in an automated home, but require further research and extensive evaluation.

【 授权许可】

CC BY