| Title |
Comparative Analysis of Indoor Thermal Comfort in a Residential Building by Applying Dynamic Clothing Insulation |
| Authors |
최은지(Choi, Eun Ji) ; 조혜운(Cho, Hye Un) ; 현지연(Hyun, Ji Yeon) ; 박진철(Park, Jin Chul) ; 문진우(Moon, Jin Woo) |
| DOI |
https://doi.org/10.5659/JAIK.2021.37.4.205 |
| Keywords |
Indoor Environment; Thermal Comfort; Predicted Mean Vote; Predicted Percentage Dissatisfied; Clothing Insulation |
| Abstract |
The purpose of this study is to confirm the necessity and significance of applying a dynamic clothing insulation for controlling the thermal
environment. For this purpose, the comparative analysis of indoor thermal comfort in the residential building was conducted with three
different control methods: 1) DBT (dry-bulb temperature)-based control, 2) PMV (predicted mean vote)-based controls reflecting the fixed
clothing insulation, 3) PMV-based control reflecting the dynamic clothing insulation. DesignBuilder was employed for a residential building
modeling and the thermal comfort analysis which was accessed with PMV and PPD (predicted percentage dissatisfied) indicators. As a result,
the PMV-based control applying the dynamic clothing insulation satisfied the comfort ranges of the PMV and PPD at all times regardless of
the season. On the other hand, in the case of the DBT-based control, the average PMV value was out of the comfort range in both seasons,
and the PPD value was more than twice that of the PMV-based control reflecting the dynamic clothing insulation. In addition, PMV-based
control reflecting fixed clothing insulation resulted in a slightly cold condition in the morning and at night in both seasons as presenting
PMV values below ?0.5 and PPD values over 10%. In conclusion, from this study, the possibility was confirmed that the PMV-based control
reflecting dynamic clothing insulation can provide a comfortable thermal environment for the occupants. Therefore, it is necessary to apply
the accurate value of the clothing insulation in order to comfortably control the thermal environment, and a follow-up research should be
conducted to develop a prediction model of the real-time clothing insulation. |