• Title/Summary/Keyword: AIR 모델

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Analytic and Numerical Models for Air Pollution Removal by Vegetated Area Around Big Cities (그린벨트녹지의 대기정화기능 모델링)

  • 김석철
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 1999.10a
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    • pp.175-177
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    • 1999
  • 도시주변의 녹지의 대기정화기능이 중요하다는 인식이 일반화되어 있는 데 반하여, 여기에 대한 구체적인 분석이 이루어진 바는 없다. 특히, 전체면적의 87%가 녹지(임야, 전답 및 과수원)로 이루어진 개발제한구역(건설교통부, 1998)이 흡수하는 오염물질의 량은 궁금할 뿐 아니라 최근 논의되고 있는 개발제한구역해제와 관련하여 민감한 사항이기도 하다. 본 연구에서는 녹지의 대기정화기능에 대한 정량적인 분석을 목적으로 오염물질의 대기 중 확산이론에 근거하여 해석/수치모델을 모색했다.(중략)

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빙축열 시스템의 성능평가

  • 윤정인
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.29 no.7
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    • pp.60-67
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    • 2000
  • 현재까지 많은 공조용 빙축열 시스템이 전력수요 평준화를 목적으로 개발되어 설비에 적용되어 왔다. 지금까지 각종 학회에서 발표된 내용들은 기업에서 개발된 빙축열 시스템의 제빙 방식의 특징이나 시운전 결과가 중심이고, 빙축열 시스템의 평가, 특히 실제 설비의 운전 데이터에 기초한 시스템 성능 평가에 대한 내용은 많지 않았다. 이번에 소개하고자 하는 기술은 현장 제조형의 과냉각 방식 빙축열시스템의 실제 설비를 대상으로 제빙조의 제빙성능과 해빙성능에 관하여 모델해석를 기초로 평가하고, 제빙효율, 소비전력, 운전비용과 관련하여 설명함으로서 열원시스템을 평가하고자 한다.

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원격관리를 통한 VRF 시스템 최적제어

  • Kim, Seok-U
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.39 no.3
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    • pp.18-24
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    • 2010
  • 소비자들이 가지고 있는 에어컨과 관련한 가장 큰 고민은 무엇일까? 바로, 고장이 났을 때 어떻게 해결해야하는지와 위협적으로 체감되는 전기료가 아닐까 생각한다. 특히 일반 가정용 소비재 제품들과 달리 건물의 설비처럼 한 번 구입 후 건물의 일부처럼 설치되어 사용하는 시스템에어컨의 경우, 제품을 이해하기가 상대적으로 어려울뿐만 아니라 관리하기도 어려워 이러한 서비스의 필요가 더욱 크다. 삼성전자는 국내 최초로 2008년 3월 시스템에어컨 원격관리시스템(RMS : Remote Management System)을 시작하였고, 이제 수많은 실중 사이트의 검증을 거쳐 안정적인 서비스를 공급하기 이르렀다. 최초 사업의 시작은 일본의 모델과 유사한 관점에서 출발하였다면, 이제는 일본 업체들의 장점을 흡수하고 한국환경에 최적화된 솔루션을 제공하고 있다.

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Numerical Simulation of Dispersion of Air Pollutants from Combined Cycle Power Plants (복합화력발전소 대기오염영향 평가)

  • Kim, Ji-Hyun;Park, Young-Koo
    • Journal of the Korean Applied Science and Technology
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    • v.33 no.3
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    • pp.529-539
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    • 2016
  • Modeling can be used to understand the atmospheric dispersion of air pollutants scientifically. Recent development of model computation enabled to simulate more diverse area. As flowing out from the emission source, the concentration profiles of air pollutants could be estimated in three dimensional space. This study used CALPUFF diffusion model to predict the diffusion of discharged NO2 and TSP on the atmosphere near a combined heat power plant and incinerator. It was investigated contribution concentration of the surrounding area by sources by comparing the actual measurement results and the results of the modeling. Contribution of emission sources to the local level of NO2 was found quite high particularly at the site, A-3. The estimated results by modelling revealed more significant effect on TSP at A-5.

Refinement of GRACE Gravity Model Including Earth's Mean Mass Variations (지구 평균 질량 변화를 포함한 GRACE 중력 모델 보정)

  • Seo, Ki-Weon;Eom, Jooyoung;Kwon, Byung-Doo
    • Journal of the Korean earth science society
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    • v.35 no.7
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    • pp.537-542
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    • 2014
  • The Gravity Recovery and Climate Experiment (GRACE) has observed the Earth's mass redistribution mainly caused by the variations of groundwater, ice sheet, and sea level since its launch in April 2002. The global gravity model estimated by the GRACE observation is corrected by barometric pressure, and thus represents the change of Earth mass on the Earth's surface and below Earth's surface excluding air mass. However, the total air mass varies due to the water exchange between the Earth's surface and the atmosphere. As a result, the nominal GRACE gravity model should include the Earth's gravity spectrum associated with the total air mass variations, degree 0 and order 0 coefficients of spherical harmonics ($C_{00}$). Because the water vapor content varies mainly on a seasonal time scale, a change of $C_{00}$ (${\delta}C_{00}$) is particularly important to seasonal variations of sea level, and mass balance between northern and southern hemisphere. This result implies that ${\delta}C_{00}$ coefficients should be accounted for the examination of continental scale mass change possibly associated with the climate variations.

A Study on Performance Enhancement in Simulation Fidelity Using a Meta Model (메타모델(Meta Model)을 활용한 시뮬레이터 구현충실도 향상 연구)

  • Cho, Donghyurn;Kwon, Kybeom;Seol, Hyunju;Myung, Hyunsam;Chang, YoungChan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.10
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    • pp.884-892
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    • 2014
  • In this paper, a meta model using neural network substituting for the simulator aerodynamic database is proposed to improve simulation fidelity near the critical flight area and real-time performance. It is shown that the accuracy of the meta model is relatively higher than the existing table lookup methods for arbitrary nonlinear database and the calculation speed is also improved for a specific F-16 maneuver simulation. The increase in the number of hidden nodes in the meta model for better accuracy of database representations causes a delay in function generation due to increased time required for computing exponential functions. In order to make up this drawback, we additionally study the fast exponential function method.

Simulation of Rough Rice Drying by Natural Air(II) : Factors Evaluation and Feasibility Study for Tropical Weather (자연공기(自然空氣)에 의(依)한 벼 건조(乾燥) 시뮤레이션(II) : 요인분석(要因分析) 및 열대기후하(熱帶氣候下)의 건조가능성(乾燥可能性) 조사(調査))

  • Chang, D.I.;Chung, D.S.
    • Korean Journal of Agricultural Science
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    • v.11 no.2
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    • pp.270-277
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    • 1984
  • The effects of factors of natural air drying were evaluated by the simulation model for rough rice drying. The factors were airflow rate, harvest date, initial moisture content and weather conditions. For simulation, the RICEDRY (Chang et al., 1983) was used. Then, the applicability of the model and the feasibility of rough rice drying by natural air were tested under the tropical weather conditions of Costa Rica.

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Air Quality Prediction by CDMQC and Its Validation in the Ulsan Industrial Complex (CDMQC Model을 이용(利用)한 울산지역(蔚山地域)의 대기질(大氣質) 예측(豫測)과 실측치(實測値)와의 비교연구(比較研究))

  • Shin, Eung Bai;Lee, Kwang Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.1 no.1
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    • pp.77-90
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    • 1981
  • This study involves 1) air quality disperson predictions and 2) a comparison of the predicted data with the actually measured ones in terms of annual sulfur dioxide concentration in the Ulsan Industial Complex. The prediction was made by utilizing the CDMQC air quality simulation computer model. The higher concentrations were observed at the Bugok Dong (Sampling Site) and the Yeochun Dong Sampling Site with the values of 44 and 46 ppb, respectively whereas the predicted values for both sites were 52 and 47 ppb, respectively. A statistical examination has revealed that the level of confidence was 90.02% from the Chi-squared test and the corelation coefficient was 0.827. It thus demonstrates that the model used for the study appears to be applicable to yield reliable predictions in terms of annual sulfur dioxide concentrations in the study area.

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