• Title/Summary/Keyword: 환기시스템

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The ventilation performance of a vertical exhaust duct in a high-rise building (초고층 건물의 입상배기관을 통한 환기성능)

  • 김신도;김경분;황의현;김형수
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2001.11a
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    • pp.375-376
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    • 2001
  • 건축 기술의 발달과 도시토지 이용의 효율성을 강화하기 위하여 최근에는 초고층 건물이 많이 건설되고 있다. 이러한 초고층 건물은 에너지 절약적인 설계로 높은 기밀성을 가질 뿐 아니라, 외주부 또한 개폐할 수 없는 유리벽에 의하여 구획되므로 자연 환기에 열악한 특성을 지니고 있다. 초고층 건물의 경우 배기시스템으로 중앙집중배기방식을 채택하고 있으며, 중앙배기시스템은 배기입상덕트의 형상 및 규격, 흡출기의 성능, 그리고 기상조건 등 여러 변수들에 의해 영향을 받는다. (중략)

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Development and use of PC based combustion analyzer (PC를 사용하는 연소해석장치의 개발에 관한 연구)

  • Lim, B. J.
    • Journal of the korean Society of Automotive Engineers
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    • v.15 no.3
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    • pp.75-80
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    • 1993
  • 널리 사용되는 IBM-PC를 기본으로 하여 고속도 데이터 처리가 가능한 연소 해석 장치를 개발 였다. 본 시스템은 상용의 A/D변환기와 C언어를 사용한 소프트웨어 및 PC 인터페이스 보드로 구성되어 있다. 본 연소 해석 장치의 특징은 모든 기능이 모니터 상에서 마우스로 지원되며, P 상에서 타 프로그램을 위한 데이터 변환이 용이하고 메모리의 확장이 기존의 상용 연소 해석 치에 비해 간편하다. 연구용 단기통 기관실험을 통하여 본 시스템을 검증하였다. 연소실 내의 력은 크랭크 각도로 0.1.deg.에서 1.deg.의 해상도로 분석할 수 있다.

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A Study on Vehicle Drag Coefficients in Domestic Road Tunnels (국내 도로터널내 차량항력계수 관련 연구)

  • Lee, Chang-Woo;Lee, Kyeong-Bok
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.7 no.4
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    • pp.313-321
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    • 2005
  • Drag coefficient is one of the critical design factors to quantify the piston effect in vehicle tunnels. Several problems are raised on the drag coefficient currently applied for the ventilation system design; unverified adoption of the projected frontal area of the vehicle from the foreign study in the past, and lack of consideration for the slip-streaming effect. This study aims at better estimation of the traffic-induced ventilation force in the local tunnels. Values for the projected frontal area of the vehicles running on the local roads at present are proposed and results of an extensive CFD study are studied on the slip-streaming effects in various traffic conditions to quantify $K_{blockage}$ and the drag coefficient in the domestic tunnels.

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IoT automatic ventilation system to block fine dust (미세먼지 차단을 위한 IoT 자동 환기 시스템)

  • Lee, Jin-A;Oak, Seung-Ju;Lim, Seo-Yeon;Jo, Young-Hye
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1088-1090
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    • 2021
  • 미세먼지가 인체에 유해한 영향을 끼칠 수 있다는 연구 결과가 꾸준히 발표되고 있다. 본 논문에서는 사물인터넷(IoT) 서비스를 활용하여 자동으로 창문을 개폐할 수 있는 시스템을 소개하고자 한다. 이 시스템에서는 측정한 실내 공기질과 오픈 API에서 받아온 실외 미세먼지 데이터를 비교하여 창문을 개폐하고, 사용자가 등록한 패턴에 따라 환기를 자동화하는 시스템이다.

Improvement of Cooling Efficiency in Greenhouse Fog System Using the Dehumidifier (제습기를 이용한 온실 포그냉방시스템의 효율향상)

  • Nam Sang Woon;Kim Kee Sung;Giacomelli Gene A.
    • Journal of Bio-Environment Control
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    • v.14 no.1
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    • pp.29-37
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    • 2005
  • In order to provide fundamental data on utilization of dehumidifier in greenhouses, a condensing type dehumidifier using ground water as a coolant was developed and tested dehumidification performance. The developed dehumidifier was applied to greenhouse with fog cooling system and effect of dehumidification on improvement of evaporative cooling efficiency was analyzed. Results of the dehumidifier performance test showed that dehumidification using ground water as a coolant was sufficiently possible in fog cooling greenhouse. When the set point temperature of greenhouse cooling was $32^{\circ}C$ and as temperatures of ground water rose from $15^{\circ}C\;to\;18^{\circ}C,\;21^{\circ}C\;and\;24^{\circ}C$, dehumidification rates decreased by $17.7\%,\;35.4\%\;and\;52.8\%$, respectively. As flow rates of ground water reduced to $75\%\;and\;50\%$, dehumidification rates decreased by $12.1\%\;and\;30.5\%$, respectively. Cooling efficiency of greenhouse equipped with fog system was distinctly improved by artificial dehumidification. When the ventilation rate was 0.7 air exchanges per minute, dehumidification rates of the fog cooling greenhouse caused by natural ventilation were 53.9%-74.4% and they rose up to 75.4%-95.9% by operating the dehumidifier. In case of using the ground water of $18^{\circ}C$ and flow rate of design condition, it was analyzed that whole fog spraying water can be dehumidified even if the ventilation rate is 0.36 exchanges per minute. As a utilization of dehumidifier, it is possible to improve cooling efficiency of fog system in naturally ventilated greenhouses.

A Study on the Development of a 4,000CMM Grade Blower for a Ventilation System (환기시스템용 4000CMM급 송풍기 개발에 관한 연구)

  • Lee, Cheon-Suk;Lee, Won-Uk;Jang, Sung-Cheol;Yi, Chung-Seob
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.1
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    • pp.17-23
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    • 2017
  • This study is about the development and revision of a blower design for a ventilation system. In this study, to describe the flow in the 4000CMM grade blower, 3-dimensional steady-state turbulence was assumed to govern the flow equation. The flow field with velocity distribution according to the elbow duct of the ventilation system is also compared. Finally, vibration was observed in the blower at the installation to ventilation system. The cause was due to a problem in the manufacturing process of the airfoil type impeller.

Air Flow Prediction and Experiment by T-Method According to Duct Layout on House Ventilation System (주택환기시스템의 덕트 Layout에 따른 T-Method의 풍량 예측 및 실험)

  • Joo, Sung-Yong;Yee, Jurng-Jae
    • Proceedings of the SAREK Conference
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    • 2008.06a
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    • pp.523-528
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    • 2008
  • The accurate distribution of flow rate has been a very important part to control the air change rate since introduction of house ventilation system. An inappropriate selection of fan due to incorrect prediction of pressure loss in duct brings energy loss. In the previous study the pressure loss of general spiral duct was measured and database was constructed for finding correct loss factors in fitting upper stream. The purpose of this study is to compare and investigate the error range of flow rate by applying T-Method to bilateral symmetry and asymmetry layout of duct. The results of this study are as following. It is demanded to decide accurate size under duct design for house ventilation system. Because the small amount of Flow rate was considered at that time. The error range was 3.17% on case1 and 3.52% on case2. The error range difference was 0.35%.

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