• Title/Summary/Keyword: Cloud Temperature

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기상변수를 활용한 일사량 예측 연구 (A study on solar irradiance forecasting with weather variables)

  • 김삼용
    • 응용통계연구
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    • 제30권6호
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    • pp.1005-1013
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    • 2017
  • 본 연구에서는 태양광 발전량 예측에 필요한 일사량을 예측하기 위해 다양한 기상변수를 활용한 다중회귀, ARIMA, ARIMAX 모형을 사용하여 각 모형의 예측 성능을 비교하고자 한다. 예측에 사용된 변수와 시계열 모형에 대해 소개하고, 실제 일사량 예측에 적용하여 일사량을 예측한 결과 운량, 기온, 습도, 대기권 밖 일사량을 활용한 ARIMAX 모형의 성능이 가장 우수하였다.

Risk Analysis of Thaw Penetration Due to Global Climate Change in Cold Regions

  • Bae, Yoon-Shin
    • 한국방재학회 논문집
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    • 제9권2호
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    • pp.45-51
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    • 2009
  • 지구기후모델을 이용하여 예측된 (1) 물성치와 (2) 현재 및 미래의 표면 에너지 입력상수의 가변성을 고려한 동결 및 융해깊이를 예측하기 위하여 확률론적 접근법이 도입되었다. 확률론적 접근법을 예시하기 위하여 극지방에서의 융해깊이 예측을 고려해보았다. 특히 확률론적 융해깊이 예측을 위하여 몬테카를로 시뮬레이션과 함께 Stefan 공식이 사용되었다. 시뮬레이션 결과는 물성치의 가변성을 보여주었다. 표면 에너지 입력상수와 온도 데이터는 융해깊이를 예측하는데 상당한 불확실성을 야기시킬 수 있다.

1994년 6월 서울지역 시정장애의 측정 및 분석 (Measurement and Analysis of Visibility lmpairment during June, 1994 in Seoul)

  • 백남준;이종훈;김용표;문길주
    • 한국대기환경학회지
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    • 제12권4호
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    • pp.407-419
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    • 1996
  • Characteristics of visual air quality in Seoul have been investigated between June 13 and 21, 1994. Optical properties (extinction coefficient and particle scattering coefficient), meteorological parameters (relative humidity, temperature, wind speed, wind direction, and cloud cover), particle characteristics (mass size distribution, components) were measured and analyzed. During measurement periods, northwest wind with less than 2m/sec of wind speed deteriorates visibility. Effects of relative humidity are though to be not a direct factor which influence to visibility through the size change due to hygroscopic species in aerosol. During the smoggy period both the aerosol mass concentration and fine particle fraction of the size distribution are increased compared to the clear period. Sulfate, organic carbon, and elemental carbon in aerosol are the major species in determining the occurrence and severity of a smog in Seoul.

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A BRIGHT RIM OF SOLAR FILAMENT OBSERVED BY USING FISS

  • 양희수;채종철;송동욱
    • 천문학회보
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    • 제36권1호
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    • pp.38.1-38.1
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    • 2011
  • Bright rims are one of the most unknown part of a filament nowadays. Many models tried to explain the environments, but there is no commonly acceptable model. Many survey observations have been performed to find various characteristics of the bright rim statistically, but there was only one spectroscopic observation to understand phenomena of the bright rim. We observed a bright rim on June 25, 2010 using FISS installed in NST, Big Bear Solar observatory. FISS can obtain a couple of wavebands data simultaneously with short time cadence and fine resolution(~ 0.1", expected) with Adaptive Optics. By applying the cloud model, we found source function, optical thickness, temperature and non-thermal velocity of the region from the spectra of Ha and CaII 8542 lines. We discuss the physical implication of these measurements on the nature of bright rims of filaments.

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발코니형 PV시스템의 최적설계를 위한 어레이 배열 특성 고찰 (A Study on the characteristic of array arrangement for the optimum design of the balcony PV system)

  • 강기환;소정훈;김현일;박경은;유권종;서승직
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 B
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    • pp.1678-1680
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    • 2005
  • This paper presents Building Integrated Photovoltaic system of the balcony type which is influenced by conditions such as irradiation, module temperature, shade and array arrangement. When architecture component, trees and cloud shade connecting array in series, total PV array current is reduced. So, before PV system design, a planner have to simulate many situations. And then array should be composed suitable for parallel and series modules. By the results, it is very important to develop optimal design of array considering shade effect for the balcony PV system.

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송전선로 고장실적과 날씨의 통계분석을 통한 날씨기준 설정 (A Criterion using Statistical Analysis for Transmission Line outages and Weather)

  • 이승혁;신동석;김진오;전동훈;추진부
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전력기술부문
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    • pp.60-62
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    • 2004
  • Transmission line outage is influenced by several weather factors: wind, rain snow, temperature, cloud and humidity. And most power system reliability studies assume a failure rate. It can be calculated by transmission line outage data and weather data. Also weather is divided into normal weather and adverse weather by failure rate analysis. The effect of failure rate is discussed with both normal weather and adverse weather. It can be used in effective information about system operation and planing.

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송전선로 고장실적과 날씨와의 통계적 상관관계 분석 (Statistical Correction Analysis between Transmission Line Outage Data and Weather Effect in KEPCO Systems)

  • 신동석;김진오;차승태;전동훈;추진부
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 A
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    • pp.391-393
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    • 2004
  • Transmission line outage is influenced by several weather factors: wind, rain snow, temperature, cloud and humidity. So, in this paper try to see how much each weather factors have effect on the transmission line outage and it is analyzed that which weather variables have close relation with transmission line historical outage data in KEPCO systems. These statistic correlation analysis may provide system operators useful information about system operation and planing.

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GMS 영상자료와 관측강수량 자료의 비교 (An intercomparison of GMS image data and observed rainfall data)

  • 서애숙;이미선;김금란;이희훈
    • 대한원격탐사학회지
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    • 제10권1호
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    • pp.1-14
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    • 1994
  • The purpose of this study is to find the relationship between GMS image data and hourly observed rainfalls data. Heavy rainfall cases over South Korea on 10th September 1990 and on 29th July 1993 were selected for studying of the relationship between the image data and reinfalls. First, image data were converted to TBB(Temperature of Black Body) and albedo and then these values were extracted for the pixels closest to the surface observation station to correlate with the rainfall data. Horizontal distribution of TBB and albedo tells roughly rainfall regions. The correlation between rainfall and TBB is found to be very low in quantitative analysis. The weak relationship between the brighter albedo and the higher rainfall probability is observed. This study suggests that the TBB values are useful in classifying rain areas and for heavy rainfalls the albedo values are more useful than the TBB. Low linear correlation between the fields may be attributed to the neglect of cloud types in this study.

Rapid Energy Transfer Mechanism of F Electronic Excitation to the Vibration of Randomly Distributed $OH^- in KCI

  • 장두전;아철승
    • Bulletin of the Korean Chemical Society
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    • 제19권10호
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    • pp.1063-1068
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    • 1998
  • The nature of F electronic excitation energy transfer to OH- vibrational levels in KCl crystals is the exchange interaction, although the transfer process exhibits three temporally distinguishable components depending on the distance between excited F center and OH-. The critical distance as well as rate of the major energy transfer process in randomly distributed samples increases rapidly as OH- librational motions become active with temperature rise. The excited state character introduced into the OH- ground electronic state by perturbation is essential for the exchange interaction. The perturbation is brought about by the expanded electron cloud of excited F center for OH- associated to F center, whereas by librations and lattice vibrations perpendicular to the bond axis for isolated OH- . F excitation quenching efficiency by OH- is dependent on the variation of the critical distance rather than the rate as the rate is much faster than the normal F bleach recovery rate.

실내공기질 개선 시스템의 서버 구성 방식에 따른 응답 시간의 차이 비교 (Comparison of the Difference in Response Time According to the Server Configuration Type of the Indoor Air Quality Improvement System)

  • 국중진
    • 반도체디스플레이기술학회지
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    • 제22권1호
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    • pp.59-63
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    • 2023
  • Various devices have been emerging as a means of measuring indoor air quality, and among them, there are devices that support real-time remote monitoring through IoT technology and a cloud environment. To improve indoor air quality, based on the results determined by measuring devices, air purifiers or ventilation systems may need to be operated, and temperature and humidity control may be required. In this paper, we propose a design of indoor air quality measuring devices required for indoor air quality evaluation, and of the system needed to control relevant devices to improve indoor air quality through the interaction with the measuring devices. Currently, the servers for the interaction of indoor air quality devices and IoT devices are divided into conventional server type and serverless type, comparing the differences in response time of IoT devices to changes of indoor air quality.

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