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      다국어 초록 (Multilingual Abstract)

      It is essential to control humidity level to maintain indoor air quality of multi-family residential buildings preventing condensation and mold growth. Exhaust and ventilation systems can have indoor humidity control performance, but it can affect occupant’s comfort and energy consumption associated with ventilation devices. Therefore, it needs to optimize the strategies to operate exhaust or ventilation systems of typical Korean multi-family residential buildings. This study carried out experiments for various combinations of exhaust and ventilation systems to control indoor humidity level. As a result, it was effective to use the kitchen hood and the energy recovery ventilator simultaneously when detecting humidity level increase, then to use only the ERV after reaching the peak increment of indoor humidity level. The experiments showed that the modified control algorithm could provide controlling indoor humidity level effectively with lower noise generation and electricity consumption than using the kitchen hood and multiple ventilation systems. This paper shows the importance of considering various parameters comprehensively to optimize indoor air quality control strategy. The results of this study will be useful as a control strategy for indoor air quality when planning a control system with sensors to operate exhaust and ventilation systems effectively in multi-family residential buildings.
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      It is essential to control humidity level to maintain indoor air quality of multi-family residential buildings preventing condensation and mold growth. Exhaust and ventilation systems can have indoor humidity control performance, but it can affect occ...

      It is essential to control humidity level to maintain indoor air quality of multi-family residential buildings preventing condensation and mold growth. Exhaust and ventilation systems can have indoor humidity control performance, but it can affect occupant’s comfort and energy consumption associated with ventilation devices. Therefore, it needs to optimize the strategies to operate exhaust or ventilation systems of typical Korean multi-family residential buildings. This study carried out experiments for various combinations of exhaust and ventilation systems to control indoor humidity level. As a result, it was effective to use the kitchen hood and the energy recovery ventilator simultaneously when detecting humidity level increase, then to use only the ERV after reaching the peak increment of indoor humidity level. The experiments showed that the modified control algorithm could provide controlling indoor humidity level effectively with lower noise generation and electricity consumption than using the kitchen hood and multiple ventilation systems. This paper shows the importance of considering various parameters comprehensively to optimize indoor air quality control strategy. The results of this study will be useful as a control strategy for indoor air quality when planning a control system with sensors to operate exhaust and ventilation systems effectively in multi-family residential buildings.

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      목차 (Table of Contents)

      • ABSTRACT
      • 서론
      • 현장 실험
      • 실험결과
      • 결론
      • ABSTRACT
      • 서론
      • 현장 실험
      • 실험결과
      • 결론
      • References
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      참고문헌 (Reference)

      1 이남수, "공동주택 주방후드 소음저감을 위한 건축 설계 대안 평가" 한국건축친환경설비학회 9 (9): 456-461, 2015

      2 Sun, C., "The efficacy of social distance and ventilation effectiveness in preventing COVID-19 transmission" 62 : 102390-, 2020

      3 Kim, G. T., "The design criteria of the indoor temperature and humidity for the prevent condensation of small apartment buildings" 5 (5): 291-296, 2014

      4 National Noise Information System, "The Effects of Noise"

      5 Korean Ministry of Land, Infrastructure and Transport, "Rules on Standards for Facilities, etc. of Buildings"

      6 Korean Ministry of Land, Infrastructure and Transport, "Regulations on Housing Construction Standards"

      7 Shin, M. S., "Performance evaluation of CO2-based ventilation control to reduce CO2 concentration and condensation risk in residential buildings" 142 : 451-463, 2018

      8 International Organization for Standards, "Measurement of sound pressure level from service equipment in buildings - Engineering method"

      9 Park, C. Y., "Measurement noise and air flow of kitchen hood in the apartment" 2007

      10 "KS F ISO 16032, Measurement of sound pressure level from service equipment in buildings - Engineering method" Korean Industrial Standards

      1 이남수, "공동주택 주방후드 소음저감을 위한 건축 설계 대안 평가" 한국건축친환경설비학회 9 (9): 456-461, 2015

      2 Sun, C., "The efficacy of social distance and ventilation effectiveness in preventing COVID-19 transmission" 62 : 102390-, 2020

      3 Kim, G. T., "The design criteria of the indoor temperature and humidity for the prevent condensation of small apartment buildings" 5 (5): 291-296, 2014

      4 National Noise Information System, "The Effects of Noise"

      5 Korean Ministry of Land, Infrastructure and Transport, "Rules on Standards for Facilities, etc. of Buildings"

      6 Korean Ministry of Land, Infrastructure and Transport, "Regulations on Housing Construction Standards"

      7 Shin, M. S., "Performance evaluation of CO2-based ventilation control to reduce CO2 concentration and condensation risk in residential buildings" 142 : 451-463, 2018

      8 International Organization for Standards, "Measurement of sound pressure level from service equipment in buildings - Engineering method"

      9 Park, C. Y., "Measurement noise and air flow of kitchen hood in the apartment" 2007

      10 "KS F ISO 16032, Measurement of sound pressure level from service equipment in buildings - Engineering method" Korean Industrial Standards

      11 Park, J., "Improving airtightness performance for implementation of zero energy apartment building" Korea Land and Housing Institute 2020

      12 Moon, H. J., "Humidity control in buildings for healthy environment" 59 : 53-59, 2015

      13 Berglund, B., "Guidelines for Community Noise"

      14 ASHRAE, "Guideline 10, Interactions affecting the achievement of acceptable indoor environments" American Society of Heating, Refrigerating and Air-Conditioning Engineers 2010

      15 Kwag, B. C., "Evaluation of effects of the humidity level-based auto-controlled centralized exhaust ventilation systems on thermal comfort of multi-family residential buildings in South Korea" 11 (11): 4791-, 2019

      16 Lim, Y., "Development of water vapor control algorithm for preventing condensation in multi-residential building" 283-286, 2015

      17 Korean Ministry of Land, Infrastructure and Transport, "Design Criteria for Prevention of Condensation in Apartments"

      18 Australian Building Codes Board, "Condensation in Buildings-Handbook" Australian Building Codes Board 2014

      19 Zhou, B., "Capture efficiency and thermal comfort in Chinese residential kitchen with push-pull ventilation system in winter-a field study" 149 : 182-195, 2019

      20 Choi, Y. H., "Analysis of the variable heat exchange efficiency of heat recovery ventilators and the associated heating energy demand" 172 : 152-158, 2018

      21 Suh, H. S., "An experimental research on the effect of the ventilation system on the condensation reduction" 32 : 351-352, 2012

      22 ASHRAE, "ASHRAE Handbook - Fundamentals" American Society of Heating, Refrigerating and Air-Conditioning Engineers 2013

      23 Kim, J. T., "A questionnaire survey of dwellers’responses on indoor air quality in living room and kitchen of apartment houses" 15 (15): 177-184, 1999

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2012-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2010-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.4 0.4 0.36
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.31 0.26 0.651 0.09
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