• Title/Summary/Keyword: Air quality system

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Study on operation characteristics of the cold air distribution systems with an ice storage tank (빙축열을 이용한 저온공조시스템 운전 특성 연구)

  • 염한길;박병규;고득용
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.11 no.3
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    • pp.301-312
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    • 1999
  • Experiments were carried out to evaluate performance of the cold air distribution systems with an ice storage tank in test room. Cold air distribution systems provide primary air for comfort conditioning or process cooling at coil discharge temperatures$4^{\circ}C$ to$11^{\circ}C$. The application of a cold air distribution system allows for the downsizing of air distribution equipment and central plant equipment when ice storage tank is used. The benefit of a cold air distribution system include a decrease in the floor-to-floor height, increase floor space, reduced building capital costs, reduced energy use and demand. The use of cold air distribution can result in the most cost effective system and is currently being implemented world wise as the new standard in air conditioning systems. In this study, the cold air distribution system is compared with the general ice storage system. Under the same cooling load conditions, experimental results show that the supply air volume of cold air distribution system decrease 38%, and decrease 45% flow rate of brine for the general ice storage system.

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A Study on IoT based Real-Time Plants Growth Monitoring for Smart Garden

  • Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.130-136
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    • 2020
  • There are many problems that occur currently in agriculture industries. The problems such as unexpected of changing weather condition, lack of labor, dry soil were some of the reasons that may cause the growth of the plants. Condition of the weather in local area is inconsistent due to the global warming effect thus affecting the production of the crops. Furthermore, the loss of farm labor to urban manufacturing jobs is also the problem in this industry. Besides, the condition for the plant like air humidity, air temperature, air quality index, and soil moisture are not being recorded automatically which is more reason for the need of implementation system to monitor the data for future research and development of agriculture industry. As of this, we aim to provide a solution by developing IoT-based platform along with the irrigation for increasing crop quality and productivity in agriculture field. We aim to develop a smart garden system environment which the system is able to auto-monitoring the humidity and temperature of surroundings, air quality and soil moisture. The system also has the capability of automating the irrigation process by analyzing the moisture of soil and the climate condition (like raining). Besides, we aim to develop user-friendly system interface to monitor the data collected from the respective sensor. We adopt an open source hardware to implementation and evaluate this research.

The Air Quality Modeling According to the Emission Scenarios on Complex Area (복잡지형에서의 배출량 시나리오에 따른 대기질 수치모의)

  • Lee, Hwa-Woon;Choi, Hyun-Jung;Lee, Soon-Hwan;Lim, Heon-Ho;Lee, Kang-Yoel;Sung, Kyoung-Hee;Jung, Woo-Sik;Park, Jeong-Im;Moon, Nan-Kyung
    • Journal of Environmental Science International
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    • v.16 no.8
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    • pp.921-928
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    • 2007
  • The objective of this work is the air quality modeling according to the scenarios of emission on complex terrain. The prognostic meteorological fields and air quality field over complex areas of Seoul, Korea are generated by the PSU/NCAR mesoscale model (MM5) and the Third Generation Community Multi-scale Air Quality Modeling System (Models - 3/CMAQ), respectively. The emission source was driven from the Clean Air Policy Support System of the Korea National institute of Environmental Research (CAPSS), which is a 1 km x 1 km grid in South Korea during 2003. In comparison of air quality fields, the simulated averaged $PM_{10},\;NO_2,\;and\;O_3$ concentration on complex terrain in control case were decreased as compared with base case. Particularly $PM_{10}$ revealed most substantial localized differences by $(18{\sim}24{\mu}g/m^3)$. The reduction rate of $PM_{10},\;NO_2,\;and\;O_3$ is respectively 18.88, 13.34 and 4.17%.

Measurement system of multi-components in indoor air quality (실내 공기의 다성분 측정시스템 개발에 관한 연구)

  • Kim, Bo-Whan;Lee, Jin-Ha;Kim, Tai-Jin
    • Journal of Sensor Science and Technology
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    • v.14 no.2
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    • pp.125-130
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    • 2005
  • Six modules composed of individual sensors and circuit systems for oxygen, temperature, humidity, volatile organic compounds, dust, carbon dioxide, in the indoor air quality control were examined to see their individual performances. Experimental results showed that all the six modules were in good linearity with individual concentration variations

The Effect of Phytofiltration System on the Improvement of Indoor Air Quality (식물을 이용한 실내공기환경 정화효과에 관한 연구)

  • Song, Jeong-Eun;Pang, Seung-Ki;Kim, Yong-Sik;Sohn, Jang-Yeul
    • KIEAE Journal
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    • v.5 no.4
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    • pp.3-8
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    • 2005
  • The objective of this study is to examine the impact of the Phytofiltration system on the improvement of indoor air quality. Measurement was performed in a full-scale mock up model to examine the purification efficiency of air by plants. Seven species of plants, which were recommended by NASA, were used in measurements. Two species of plants that showed outstanding purifying effects were chosen for further measurements. The measurements were performed according to the positions and amounts of plants. Thermal environment, the concentration of Toluene and Formaldehyde were monitored. Ficus Benjamiana and Aglaonema brevispathum were excellent in diluting the concentration of contaminants. The effect of diluting concentration became better as the amount of plants increased. The reducing effect was the best when the plants were placed near window.

The Investigation and Comparison of Characteristics of Air Pollution for Cohort Study in Chungju with Industrial Cities (대조코호트 연구를 위한 충주의 대기오염현황 조사와 산단지역과의 비교)

  • Kim, Jae-Hoon;Wee, Seong-Seung;Nam, Sang-Hoon;An, Jung-Sun;Kim, Dae-Sun
    • Journal of Environmental Health Sciences
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    • v.34 no.1
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    • pp.1-11
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    • 2008
  • The purpose of this study was to investigate air quality in Chungju, Korea, using data obtained with a local air quality monitoring system. We have utilised cohort studies to investigate the relations between environmental pollution and the health of residents near large industrial complexes since 2004. This study analyzes the $O_3,\;NO_2,\;SO_2,\;CO\;and\;PM_{10}$ concentration in Chungju from 2002 to 2006. Air pollutants are closely related to the number of manufacturing facilities and cars, energy utilization and weather conditions. Generally, the diurnal concentration of air pollutants in Chungju reached the highest level in the morning (about$08:00{\sim}$) and early evening (about$19:00{\sim}$). On the other hand, the diurnal concentration of ozone as recorded gives the highest amount in late afternoon (about$16:00{\sim}$) and lowest in early morning (about$08:00{\sim}$). The concentration of air pollutants in Chungju was highest from winter to spring and lowest during the summer season. On the other hand, the monthly variation of ozone concentration was greatest in June and smallest in December. Also the, $PM_{10}$ concentration posted the highest record in April and the lowest during September. In general, this study analyzed air pollution changes in Chungju as well as in large scale industrial complex regions within Korea such as Ulsan, Pohang, Kwangyang, Sihwa Panwol and Gangneung in Korea. We compared the air quality of Chungju with those of these cites and found that air pollutants except for CO in Chungju was generally lower than large industrial complex regions.

Evaluation of the Simulated PM2.5 Concentrations using Air Quality Forecasting System according to Emission Inventories - Focused on China and South Korea (대기질 예보 시스템의 입력 배출목록에 따른 PM2.5 모의 성능 평가 - 중국 및 한국을 중심으로)

  • Choi, Ki-Chul;Lim, Yongjae;Lee, Jae-Bum;Nam, Kipyo;Lee, Hansol;Lee, Yonghee;Myoung, Jisu;Kim, Taehee;Jang, Limseok;Kim, Jeong Soo;Woo, Jung-Hun;Kim, Soontae;Choi, Kwang-Ho
    • Journal of Korean Society for Atmospheric Environment
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    • v.34 no.2
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    • pp.306-320
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    • 2018
  • Emission inventory is the essential component for improving the performance of air quality forecasting system. This study evaluated the simulated daily mean $PM_{2.5}$ concentrations in South Korea and China for 1-year period (Sept. 2016~Aug. 2017) using air quality forecasting system which was applied by the emission inventory of E2015 (predicted CAPSS 2015 for South Korea and KORUS 2015 v1 for the other regions). To identify the impacts of emissions on the simulated $PM_{2.5}$, the emission inventory replaced by E2010 (CAPSS 2010 and MIX 2010) were also applied under the same forecasting conditions. These results showed that simulated daily mean $PM_{2.5}$ concentrations had generally suitable performance with both emission data-sets for China (IOA>0.87, R>0.87) and South Korea (IOA>0.84, R>0.76). The impacts of the changes in emission inventories on simulated daily mean $PM_{2.5}$ concentrations were quantitatively estimated. In China, normalized mean bias (NMB) showed 5.5% and 26.8% under E2010 and E2015, respectively. The tendency of overestimated concentrations was larger in North Central and Southeast China than other regions under both E2010 and E2015. Seasonal differences of NMB were higher in non-winter season (28.3% (E2010)~39.3% (E2015)) than winter season (-0.5% (E2010)~8.0% (E2015)). In South Korea, NMB showed -5.4% and 2.8% for all days, but -15.2% and -11.2% for days below $40{\mu}g/m^3$ to minimize the impacts of long-range transport under E2010 and E2015, respectively. For all days, simulated $PM_{2.5}$ concentrations were overestimated in Seoul, Incheon, Southern part of Gyeonggi and Daejeon, and underestimated in other regions such as Jeonbuk, Ulsan, Busan and Gyeongnam, regardless of what emission inventories were applied. Our results suggest that the updated emission inventory, which reflects current status of emission amounts and spatio-temporal allocations, is needed for improving the performance of air quality forecasting.

A study on Measurement and Improvement of Indoor Air Quality in Dental Clinic

  • Choi, Mi-Suk;Ji, Dong-Ha
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.143-149
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    • 2018
  • The purpose of this study is to propose a management method to maintain the pleasant indoor air quality of the dental clinic by measuring and analyzing the indoor air quality of the dental clinic. The measurement was conducted in two rooms, a lobby where many residents stay in the reception room for waiting for medical treatment, and a VIP room where treatment activities are mainly performed. Measurement items are Temperature, Humidity, $CO_2$, CO, $NO_2$, $CH_2O$, VOC, $PM_{10}$ and measurement were taken on April 27, 2018. As a result of analyzing the temperature and humidity of the dental clinic, it was analyzed that the average indoor temperature was maintained at $25^{\circ}C$ and the humidity was kept at around 50%, maintaining proper indoor temperature and humidity environment. $CO_2$ was 855ppm in the VIP Room, which satisfied the maintenance standard. In the case of the lobby, it was analyzed to be 1,160ppm, which exceeded the maintenance standard and it is judged that the carbon dioxide generated by the respiration of the people staying in the lobby is the main reason. The mean concentration of formaldehyde in the VIP room was analyzed as $436{\mu}g/m^3$, exceeding the maintenance standard, and $2,100{\mu}g/m^3$ for the VOC exceeded the recommended standard. It was analyzed that the concentration was relatively higher due to the use of disinfectant and other drugs. The mean concentration of PM-10 in the lobby was analyzed as $65{\mu}g/m^3$ and it was analyzed that it satisfied the maintenance standard. To maintain a pleasant indoor air quality in a dental clinic it is necessary to minimize the effects of formaldehyde, VOC, $CO_2$ in the VIP rooms and lobby. For this purpose, the entire ventilation system and air purification system of the dental clinic should be installed. In case of the VIP room, local exhaust ventilation should be installed and workers should wear personal protective equipment.

Two Dimensional Cluster Analysis of Air Quality by Time and Area (지역.시간별을 고려한 이차원 대기환경 군집 분석)

  • Wee, Seong-Seung;Kim, Jae-Hoon;Ahn, Chi-Kyung;Choi, Byong-Su;Kim, Dae-Seon
    • Journal of Environmental Science International
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    • v.17 no.5
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    • pp.517-524
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    • 2008
  • The purpose of this study was to investigate the characteristics of air quality using data from which obtain local air quality monitoring system for cohort study in Chungju, Korea. We analyzed the concentration data of $NO_2,\;SO_2$, and $PM_{10}$ in Chungju and industrial cities in 2006. We compared a industrial area with a cohort study area using by bicluster algorithm. In the case of $SO_2$, the rate of the cluster time was $10{\sim}60%$ and the cluster time number of two areas was similar. In the case of $NO_2$ and $PM_{10}$, the number of cluster time between a industrial area and cohort study area was clearly different.

Preliminary Testing of an Urban Air Quality Model for Ozone Forecasting over the Sydney Basin (시드니만의 오존예측을 위한 도시대기질모델의 예비검사)

  • Speer, Milton S.;Leslie, Lance M.
    • Journal of Environmental Science International
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    • v.13 no.8
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    • pp.733-737
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    • 2004
  • FThe aim of this study was to carry out a preliminary test of the air quality modelling system (HIRES-AIRCHEM) developed at The University of New South Wales, particularly with regard to the forecast ozone distribution. This was achieved by assimilating the New South Wales State Environment Protection Authority (EPA) emissions inventory, consisting of road and non-road sources, and running the system over the Sydney metropolitan area for the four day period 25-28 February 1998. During this period ozone readings exceeded the EPA's goal of 8pphm on several occasions. The model forecasts of ozone distribution verified well with the EPA's ozone readings. This result has important implications for possible future use of the system as a tool for routinely predicting and assessing air quality.