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다기준 의사결정방법을 이용한 공동주택 내 환기장치 종류별 효과분석
박경용,김길태,김태민,지원길,곽병창,Park, Kyung-Yong,Kim, Gil-Tae,Kim, Tae-Min,Ji, Won-Gil,Kwag, Byung-Chang 한국토지주택공사 토지주택연구원 2022 LHI journal of land, housing, and urban affairs Vol.13 No.3
With increasing airtight building construction aimed at reducing energy consumption, indoor relative humidity is increasing which can lead to condensation and moisture damage in multi-family residential buildings. This has led to increased implementation of mechanical ventilation to control indoor moisture. However mechanical ventilation systems consume additional energy and generate noise. As this leads to occupant discomfort, it is necessary to select a ventilation system that addresses the energy and noise issues. This research measured the ventilation performance, energy consumption, and noise level of mechanical ventilation devices in multi-family residential buildings. TOPSIS, a multi-criteria decision making technique was used to determine appropriate ventilation strategies in addition to occupant ventilation system operation preference.
공동주택 세대 습기 제어를 위한 환기 시스템 운영 전략 효과 연구
곽병창(Kwag, Byung-Chang),김태민(Kim, Tae-Min),김길태(Kim, Gil-Tae),지원길(Ji, Won-Gil),박경용(Park, Kyung-Yong) 한국건축친환경설비학회 2021 한국건축친환경설비학회 논문집 Vol.15 No.5
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.