The Effectiveness of a Mechanical Ventilation System for Indoor PM2.5 in Residential Houses
2023 · Toxics
저자
Dongho Shin, Younghun Kim, Kee‐Jung Hong, Gunhee Lee, Inyong Park, Hak‐Joon Kim, 김상우 (Sang‐Woo Kim), Cheong-Ha Hwang, Kwang-Chul Noh, Bangwoo Han
연구주제
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NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
환경 > 대기질 관리 > 미세먼지오염 개선기술에너지 외
배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).
AI 연구 키워드·방법
air filter 초미세먼지(PM2.5) indoor air quality mechanical ventilation system
키워드 (OpenAlex)
mechanical ventilation indoor PM2.5 PM2.5 residential air quality air filters mass balance model indoor air pollution
초록
Mechanical ventilation systems used in houses are designed to reduce carbon dioxide emissions while minimizing the energy loss resulting from ventilation. However, increase in indoor fine particulate (PM2.5) concentration because of external PM2.5, influx through the ventilation system poses a problem. In this study, we analyzed the changes in indoor PM2.5 concentrations via dis-tinguishing between cases of high and low outdoor PM2.5 concentrations, considering the effi-ciency of filters used in residential mechanical ventilation systems. When using minimum effi-ciency reporting value (MERV) 10 filters in the ventilation system, the outdoor PM2.5 concentra-tion was 5 μg/m³; the indoor PM2.5 concentration became 73% after 60 min compared to the ini-tial. When the outdoor PM2.5 concentration was 30–40 μg/m³, the indoor PM2.5 concentration reached 91%. However, when MERV 13 filters were use…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2023 | 미세먼지(PM2.5) 및 온실가스 대응 미래발전/동력시스템 초청정 기계 기술 개발 | 과학기술정보통신부 | 한국기계연구원연구운영비지원(주요사업비) | 한국기계연구원 | – |
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동