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    https://www.riss.kr/link?id=A107409186

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    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.
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    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 ...

    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.

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    목차 (Table of Contents)

    • Abstract
    • 1. 서론
    • 2. 이론고찰
    • 3. 주거 건물 시뮬레이션
    • 4. 착의량에 따른 실내 열쾌적 분석
    • Abstract
    • 1. 서론
    • 2. 이론고찰
    • 3. 주거 건물 시뮬레이션
    • 4. 착의량에 따른 실내 열쾌적 분석
    • 5. 결론
    • REFERENCES
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    참고문헌 (Reference)

    1 Statistics Korea Time Use Survey, "Time Use Survey Results in 2019"

    2 ASHRAE 55, "Thermal environmental conditions for human occupancy"

    3 Fanger, P. O., "Thermal comfort. Analysis and applications in environmental engineering" Danish Technical Press 1970

    4 Vecchi, R. D., "The role of clothing in thermal comfort : how people dress in a temperate and humid climate in Brazil" 17 (17): 69-81, 2017

    5 Wang, Z., "Study on clothing insulation distribution between half-bodies and its effects on thermal comfort in cold environments" 211 : 109796-, 2020

    6 Schiavon, S., "Predictive clothing insulation model based on outdoor air and indoor operative temperatures" 1 (1): 1-14, 2012

    7 Ngarambe, J., "Prediction of indoor clothing insulation levels : A deep learning approach" 202 : 109402-, 2019

    8 Ministry of Environment, "Plan for Indoor Air Quality Management(2015~2019)" 2015

    9 Moon, J. W., "Performance of ANN-based predictive and adaptive thermal-control methods for disturbances in and around residential buildings" 48 : 15-26, 2012

    10 De Carli, M., "People's clothing behaviour according to external weather and indoor environment" 42 : 3965-3973, 2007

    1 Statistics Korea Time Use Survey, "Time Use Survey Results in 2019"

    2 ASHRAE 55, "Thermal environmental conditions for human occupancy"

    3 Fanger, P. O., "Thermal comfort. Analysis and applications in environmental engineering" Danish Technical Press 1970

    4 Vecchi, R. D., "The role of clothing in thermal comfort : how people dress in a temperate and humid climate in Brazil" 17 (17): 69-81, 2017

    5 Wang, Z., "Study on clothing insulation distribution between half-bodies and its effects on thermal comfort in cold environments" 211 : 109796-, 2020

    6 Schiavon, S., "Predictive clothing insulation model based on outdoor air and indoor operative temperatures" 1 (1): 1-14, 2012

    7 Ngarambe, J., "Prediction of indoor clothing insulation levels : A deep learning approach" 202 : 109402-, 2019

    8 Ministry of Environment, "Plan for Indoor Air Quality Management(2015~2019)" 2015

    9 Moon, J. W., "Performance of ANN-based predictive and adaptive thermal-control methods for disturbances in and around residential buildings" 48 : 15-26, 2012

    10 De Carli, M., "People's clothing behaviour according to external weather and indoor environment" 42 : 3965-3973, 2007

    11 Haldi, F., "Modelling occupants’personal characteristics for thermal comfort prediction" 55 (55): 681-694, 2011

    12 de Carvalho, P. M., "Influence of weather and indoor climate on clothing of occupants in naturally ventilated school buildings" 59 : 38-46, 2013

    13 Altomonte, S., "Indoor environmental quality and occupant satisfaction in green-certified buildings" 47 : 255-274, 2019

    14 Liu, W., "Indoor clothing insulation and thermal history : a clothing model based on logistic function and running mean outdoor temperature" 135 : 142-152, 2018

    15 "ISO 7730. Ergonomics of the thermal environment - Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria"

    16 "ISO 18523-2. Energy performance of buildings – Schedule and condition of building, zone and space usage for energy calculation - Part 2: Residential buildings"

    17 Salata, F., "Dressed for the season : Clothing and outdoor thermal comfort in the Mediterranean population" 146 : 50-63, 2018

    18 Ličina, V. F., "Development of the ASHRAE global thermal comfort database II" 142 : 502-512, 2018

    19 Choi, E. J., "Development of Occupant Pose Classification Model Using Deep Neural Network for Personalized Thermal Conditioning" 13 (13): 2020

    20 Ministry of Land, Infrastructure and Transport, "Construction standards for energy-saving eco-friendly housing"

    21 Gao, J., "Comparative analysis of modified PMV models and SET models to predict human thermal sensation in naturally ventilated buildings" 92 : 200-208, 2015

    22 Spengler, J. D., "Climate change, indoor environments, and health" 22 : 89-95, 2012

    23 Humphreys, M. A., "Classroom Temperature, Clothing and Thermal Comfort--A Study of Secondary School Children in Summertime" 41 : 191-202, 1974

    24 Kosonen, R., "Assessment of productivity loss in air-conditioned buildings using PMV index" 36 : 987-993, 2004

    25 Hawila, A., "An analysis of the impact of PMV-based thermal comfort control during heating period : A case study of highly glazed room" 20 : 353-366, 2018

    26 "ASHRAE Handbook Fundamentals. In Thermal Comfort"

    27 "ASHRAE Guideline 10. Interactions Affecting the Achievement of Acceptable Indoor Environments" ASHRAE 2011

    28 Wu, T., "A field study on thermal comfort and air-conditioning energy use in an office building in Guangzhou" 168 : 428-437, 2018

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2022 평가 계속평가 신청대상 (등재유지)
    2017-01-01 등재 우수등재학술지 선정 (계속평가)
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2011-03-25 학술지명변경 한글명 : 대한건축학회논문집 -> 대한건축학회논문집 계획계
    외국어명 : Journal of the Architectural Institute of Korea -> Journal of the Architectural Institute of Korea Planning & Design
    KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2006-08-02 학술지명변경 외국어명 : Journal of the Architectural Institute of Korea, Structure&Construction -> Journal of the Architectural Institute of Korea KCI등재
    2006-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2005-10-14 학술지명변경 한글명 : 대한건축학회논문집 구조계 -> 대한건축학회논문집 KCI등재
    2004-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2001-07-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    1999-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.38 0.38 0.38
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.41 0.4 0.742 0.11
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