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Open AccessArticle

Assessment of a Real-Time Prediction Method for High Clothing Thermal Insulation Using a Thermoregulation Model and an Infrared Camera

1
Energy & Environment Business Division, KCL (Korea Conformity Laboratories), Jincheon 27872, Korea
2
Department of Architecture & Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
3
Architectural Engineering Department, KFUPM, Dhahran 31261, Saudi Arabia
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 106; https://doi.org/10.3390/atmos11010106
Received: 4 November 2019 / Revised: 2 January 2020 / Accepted: 12 January 2020 / Published: 15 January 2020
(This article belongs to the Special Issue Indoor Thermal Comfort)
For evaluating the thermal comfort of occupants, human factors such as clothing thermal insulation (clo level) and metabolic rate (Met) are one of the important parameters as well as environmental factors such as air temperature (Ta) and humidity. In general, a fixed clo level is commonly used for controlling heating, ventilation, and air conditioning using the thermal comfort index. However, a fixed clo level can lead to errors for estimating the thermal comfort of occupants, because clo levels of occupants can vary with time and by season. The present study assesses a method for predicting the clo level of occupants using a thermoregulation model and an infrared (IR) camera. The Tanabe model and the Fanger model were used as the thermoregulation models, and the predicted performance for high clo level (winter clothing) was compared. The skin and clothing temperatures of eight subjects using a non-contact IR camera were measured in a climate chamber. In addition, the measured values were used for the thermoregulation models to predict the clo levels. As a result, the Tanabe model showed a better performance than the Fanger model for predicting clo levels. In addition, all models tended to predict a clo level higher than the traditional method. View Full-Text
Keywords: clothing thermal insulation; thermoregulation model; Tanabe model; infrared camera; thermal comfort clothing thermal insulation; thermoregulation model; Tanabe model; infrared camera; thermal comfort
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Lee, K.; Choi, H.; Kim, H.; Kim, D.D.; Kim, T. Assessment of a Real-Time Prediction Method for High Clothing Thermal Insulation Using a Thermoregulation Model and an Infrared Camera. Atmosphere 2020, 11, 106.

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