• 한국대기환경학회지
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• 제23권1호
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• pp.1-13
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• 2007

This study was carried out to evaluate the applicability of the odor source tracking using wind field and fingerprint as a solution tool. First of all, CALMET and HYSPLIT modeling system, and database of odor discharge companies were utilized to track odor from industrial complexes. Secondly, industrial odor fingerprint was made by listing on the 19 domestic industries, and compared with foreign data to assess the representative, and thus the similarity was 86.7%. On the modeling experiment, Sihwa industrial complex did not show any difference because the matching rates of day and night were 49.5% and 50.0%, respectively. However, the Banwol and Sihwa industrial complexes did show some differences due to odor facility density. Separately, in this study, odor samples were obtained from 10 odor discharging companies, located in the Sihwa and Banwol industrial complexes, They were compared with the results of odor tracking modeling. The matched companies were 4 of 10 by three cases of tracking, while the fingerprint and industry of odor monitoring networks and companies matched each other. Therefore, this study confirmed the approach applicability of source tracking system using the fingerprint.

• 한국산업융합학회 논문집
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• 제23권2_2호
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• pp.343-349
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• 2020

As global warming accelerates due to global climate change, the International Maritime Organization(IMO) has set up Emission Control Area(ECA) and encourages the use of Liquefied Natural Gas(LNG). For this reason, as the demand for LNG increases, the demand and research of related equipment also increases. In this study, one of them, the vent mast for the discharge of LNG was studied. In general, vent mast receives various loads such as wind load, earthquake load and dead load during operation. Accordingly, consideration of these loads is essential for structural design and safety evaluation of the vent mast. In this study, the structural safety of the vent mast is evaluated by performing finite element analysis. As a result, the structural safety evaluation results were analyzed based on the database of materials of the vent mast, and the stress level was analyzed to provide a design guide.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.775-778
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• 2017

본 연구는 신뢰성 향상 기반의 풍압센서 자동검사 시스템을 구현하기 위한 연구이다. 신뢰성향상을 위해 수동검사 시스템에서 자동검사 시스템으로 풍압세서 검사의 오류를 최소화한다. 풍압센서 자동검사 시스템은 제어시스템과 모니터링시스템으로 구성되어 되어 실시간으로 검사결과를 제공한다. 검사시스템의 신뢰성은 Gage R&R 분석기법을 적용하여 평가한다, 평가결과는 검사속도 2배 이상, 측정오차 ${\pm}0.02V$, 판정 능력의 유효성 15%, 누락확률 17%, 허위경보확률 12% 등으로 향상되었다. 따라서 풍압센서 자동검사 시스템은 제품 바코드와 연동시켜 데이터베이스화하면 효율적인 신뢰성 향상의 품질관리시스템으로 발전시킬 수 있다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 C
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• pp.1832-1834
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• 2004

The degree of contamination on outdoor insulator is one of the most importance factors to determine the pollution level of outdoor insulations, and the sea salt is known as the most dangerous pollutant. As shown through the preceding study, the generation of salt pollutant and the pollution degree of outdoor insulator have a close relation with meteorological conditions, such as wind velocity, rainfall, and so on. So, in this paper, we have made database using the past meteorological data and ESDD(equivalent salt deposit density) and then we predicted the pollution degree in the future after analyzing currently meteorological data of database.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2010년도 춘계 학술대회 제22권1호
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• pp.109-110
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• 2010

한국건설기술연구원내에 테스트베드로서 UHPC 보도사장교(Super Bridge I)를 설계 및 완공하였고, 변형률, 가속도, 장력, 풍향풍속, 온도 등의 각종 데이터를 정기적으로 수집할 수 있는 장기계측시스템을 구축하였다. 이는 UHPC 부재의 역학적 특성 및 사용성 평가에 대한 기본 데이터를 제공하여 장대하이브리드사장교의 거동 특성을 추정하는데 큰 도움이 될 것으로 예상된다.

• 한국안전학회지
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• 제11권2호
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• pp.42-51
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• 1996

Taper roller bearing is used on rotating shaft where radial and thrust loads are attended. To avoid the sudden failure and maintain the good condition of rotating machinery it is necessary to monitor the condition of bearing and diagnose the defect of bearing. In this study the diagnosis program of taper roller bearing which is used on the lower bearing of V.A.W.T. (Vertical Axis Wind Turbine) is developed. By plenty of test the database is constructed and by Gaussian distribution obtained from database the defect probability of bearing is calculated.

• 한국지리정보학회지
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• 제17권4호
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• pp.86-100
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• 2014

본 연구의 목적은 산지 내 풍력발전단지 입지 적합성 분석을 통해 입지선정 가이드라인과 산지 훼손 최소화를 위한 제도적 개선방안을 도출하는 것이다. 먼저 풍력발전단지 입지 적합성 분석을 위해 국내외 사례 및 현장조사, 연구문헌 고찰을 통해 산지 내 풍력발전단지 입지선정을 위한 요인을 도출하고, 요인별 세부항목 및 가중치를 결정하여 이를 바탕으로 각 항목별 세부평가기준을 수립함으로써 입지 적합성 모델을 개발하였다. 강원도를 사례지역으로 선정하여 풍력자원 밀도 데이터, 법적 산지보전지역, 입지 기준 요인 항목별 자료를 토대로 공간 DB를 구축하여 산지 내 풍력발전 입지가능지역을 도출하였다. 일정 개수 이상의 풍력발전기가 입지할 수 있는 풍력발전단지 잠재 입지가능면적의 추정을 위해서 본 연구에서는 근린분석방법인 Block Statistics와 Focal Statistics 방법을 이용하였다. 그 결과 Block Statistics 방법에 의한 풍력발전기 잠재적 입지가능 면적은 1,261ha이며, Focal Statistics 방법에 의한 풍력발전기 잠재적 입지가능 면적은 1,411ha으로 나타났다. 본 연구의 결과를 바탕으로 대규모 절성토에 의한 산림재해 발생 우려 및 산지경관 훼손을 방지하기 위한 저감대책이 마련되어야 할 것이다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(C)
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• pp.157-159
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• 2012

산업혁명 이후 현대사회의 급격한 발전과 화석에너지의 무분별한 사용으로 인해 화석자원이 고갈되고 있으며 환경오염 문제가 심각한 실정이다. 이러한 자원의 고갈과 환경오염 문제를 해결하기 위해 최근에 친환경적이며 자원량이 무한대에 가까운 신재생에너지 자원에 대한 개발이 많은 관심을 받고 있다. 신재생에너지 중에서 풍력에너지는 바람의 가변성으로 인해 짧은 시간 안에 전력 생산량이 급증하거나 급강하는 ramp 현상이 발생하여 풍력발전량의 예측이 어렵다. 따라서 안정적인 전력 공급을 위해서는 풍력발전량의 정확한 예측이 필요하다. 이 연구에서는 정확한 풍력발전량의 예측을 위하여 전력 생산 변화의 빠르기를 나타내는 PRR을 속성으로 사용하고 ANFIS기법을 적용하여 풍력발전량을 예측하였다. 실험 결과 기존의 ANFIS기법을 적용한 경우 보다 PRR속성을 이용하여 적용한 경우 더 정확한 풍력발전량의 결과를 얻을 수 있었다.

• 한국환경과학회지
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• 제17권9호
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• pp.1053-1068
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• 2008

This study aims to produce fundamental database for Environment Impact Assessment by monitoring vertical structure of the atmosphere due to the mountain valley wind in spring season. For this, we observed surface and upper meteorological elements in Sangin-dong, Daegu using the rawinsonde and automatic weather system(AWS). In Sangin-dong, the weather condition was largely affected by mountains when compared to city center. The air temperature was low during the night time and day break, and similar to that of city center during the day time. Relative humidity also showed similar trend; high during the night time and day break and similar to that of city center during the day time. Solar radiation was higher than the city, and the daily maximum temperature was observed later than the city. The synoptic wind during the measurement period was west wind. But during the day time, the west wind was joined by the prevailing wind to become stronger than the night time. During the night time and daybreak, the impact of mountain wind lowered the overall temperature, showing strong geographical influence. The vertical structure of the atmosphere in Dalbi valley, Sangin-dong had a sharp change in air temperature, relative humidity, potential temperature and equivalent potential temperature when measured at the upper part of the mixing layer height. The mixing depth was formed at maximum 1896m above the ground, and in the night time, the inversion layer was formed by radiational cooling and cold mountain wind.

• 대기
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• 제29권4호
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• pp.417-427
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• 2019

The purpose of this study is to build urban canopy model (Met Office Reading Urban Surface Exchange Scheme, MORUSES) based to Unified Model (UM) by using urban building information data in Seoul, and then to compare the improving urban canopy model simulation result with that of Seoul Automatic Weather Station (AWS) observation site data. UM-MORUSES is based on building information database in London, we performed a sensitivity experiment of UM-MOURSES model using urban building information database in Seoul. Geographic Information System (GIS) analysis of 1.5 km resolution Seoul building data is applied instead of London building information data. Frontal-area index and planar-area index of Seoul are used to calculate building height. The height of the highest building in Seoul is 40m, showing high in Yeoido-gu, Gangnam-gu and Jamsil-gu areas. The street aspect ratio is high in Gangnam-gu, and the repetition rate of buildings is lower in Eunpyeong-gu and Gangbuk-gu. UM-MORUSES model is improved to consider the building geometry parameter in Seoul. It is noticed that the Root Mean Square Error (RMSE) of wind speed is decreases from 0.8 to 0.6 m s^-1 by 25 number AWS in Seoul. The surface air temperature forecast tends to underestimate in pre-improvement model, while it is improved at night time by UM-MORUSES model. This study shows that the post-improvement UM-MORUSES model can provide detailed Seoul building information data and accurate surface air temperature and wind speed in urban region.