• 제목/요약/키워드: Generation mean.

검색결과 797건 처리시간 0.024초

THE COLLISION EFFECTS OF THE PARTICLES IN THE ACCRETION DISK

  • Yoo, K.H.
    • 천문학논총
    • /
    • 제11권1호
    • /
    • pp.125-137
    • /
    • 1996
  • The collision of two particles in the accretion disk may lead to be a mechanism of heat generation. By using hydrodynamic equations, the mean free path, the collision frequency and the deflection angle due to the collision of the particles are derived as a function of the mass accretion rate. The mean free path seems to be a smaller fraction compared to the dimension parameter of the system. The radiative flux in the disk is obtained under the influence of the collision of the particles.

  • PDF

국내 전력산업의 탄소배출 변화요인 분석 : 로그평균디비지아지수를 이용한 수요와 공급 측면 분석 (Decomposition Analysis of Carbon Emission in Korea Electricity Industry : Utilizing the Logarithmic Mean Divisia Index Method to the Demand and the Supply Side)

  • 김규남;김강석;김연배
    • 자원ㆍ환경경제연구
    • /
    • 제19권2호
    • /
    • pp.243-282
    • /
    • 2010
  • 본 연구는 1991년~2007년간 우리나라 전력산업의 탄소배출에 미치는 요인들과 영향의 정도를 전력 수요측면과 공급측면으로 나누어 요인분해분석을 수행하였다. 전력수요측면에서는 전력사용의 효율성 향상이 배출 감소에 주된 영향을 미치는 반면, 전력을 소비하는 산업의 구조 변화는 오히려 배출을 증가시키는데 기여했음을 확인하였다. 공급측면에서는 탄소배출에 미치는 주요 요인으로 연료혼합, 화력발전효율, 발전구조의 변화 등이 있었으며 분석 결과 전력수요의 증가와 화력발전의 구조 변화가 탄소배출을 증가시키는 주요한 요인으로 작용한 반면 연료효율성은 향상되어 배출을 감소시키는 역할을 한 것으로 나타났다. 이로써 전력산업의 온실가스 감축을 위해 수요차원에서는 전력사용의 효율성을 향상시키고 공급차원에서는 화력발전을 대체하면서 발전 및 배출 효율성을 향상시킬 수 있는 정책이 마련되어야 한다는 것을 알 수 있었다.

  • PDF

SARIMA 모형을 이용한 태양광 발전량 예보 모형 구축 (Solar Power Generation Forecast Model Using Seasonal ARIMA)

  • 이동현;정아현;김진영;김창기;김현구;이영섭
    • 한국태양에너지학회 논문집
    • /
    • 제39권3호
    • /
    • pp.59-66
    • /
    • 2019
  • New and renewable energy forecasts are key technology to reduce the annual operating cost of new and renewable facilities, and accuracy of forecasts is paramount. In this study, we intend to build a model for the prediction of short-term solar power generation for 1 hour to 3 hours. To this end, this study applied two time series technique, ARIMA model without considering seasonality and SARIMA model with considering seasonality, comparing which technique has better predictive accuracy. Comparing predicted errors by MAE measures of solar power generation for 1 hour to 3 hours at four locations, the solar power forecast model using ARIMA was better in terms of predictive accuracy than the solar power forecast model using SARIMA. On the other hand, a comparison of predicted error by RMSE measures resulted in a solar power forecast model using SARIMA being better in terms of predictive accuracy than a solar power forecast model using ARIMA.

SPECT 회전중심 측정에 있어서 콜리메타의 영향 (The Influence of Collimators on SPECT COR Measurements)

  • 이만구
    • 대한방사선기술학회지:방사선기술과학
    • /
    • 제19권1호
    • /
    • pp.89-94
    • /
    • 1996
  • Misalignment between the electronic and mechanical axes of rotation will result in artifact generation and image degradation during single photon emission computed tomography(SPECT) reconstruction. Acceptance and quality control testing procedures have not emphasized the variability in center of rotation(COR) measurements caused by collimators and the need to verify uniformity across the full collimator field of view (FOV). Variation from the mean COR across the FOV was tested in four different collimators using multiple point source acquisitions. The mean COR was different for each collimator and one of the four had a > 0.5 pixel difference from the mean COR on some area of the FOV, This variation makes this collimator unacceptable for SPECT acquisition. Thus, initial acceptance testing of SPECT collimators should verify a uniform COR across the full FOV and collimators with a variability from the mean COR > 0.5 pixels should be rejected.

  • PDF

신경망 이론을 이용한 통행발생 모형연구 (선형/비선형 회귀모형과의 비교) (Trip Generation Model Using Backpropagation Neural Networks in Comparison with linear/nonlinear Regression Analysis)

  • 장수은;김대현;임강원
    • 대한교통학회지
    • /
    • 제18권4호
    • /
    • pp.95-105
    • /
    • 2000
  • 본 연구의 목적은 기존의 대표적 통행발생모형인 회귀모형과 신경망 이론에 의한 통행발생모형을 비교.분석하여 통행발생모형에 대한 새로운 방법을 제시하고자 하는 것이다. 이를 위해 모형의 검정력과 안정성을 현재적 설명력과 장래 예측력의 결합으로 전제하고, 시나리오에 따른 모형의 검정력 변화를 통한 안정성 평가를 수행하였다. 연구결과 역전파 신경망 모형(Backpropagation Neural Networks)은 회귀모형의 검정력과 안정성을 상회하는 우수한 결과를 보여 주었으며, 이는 향후 통행발생 모형으로 역전파 신경망 모형의 적용 가능성을 의미하는 것으로 해석된다. 특히 복잡해진 교통현상과 다양한 수집자료를 고려할 때 교통분야에서의 신경망 모형의 적용은 더욱 확대될 전망이다.

  • PDF

Initial Second Harmonic Generation in Narrowband Surface Waves by Multi-Line Laser Beams for Two Kinds of Spatial Energy Profile Models: Gaussian and Square-Like

  • Choi, Sungho;Jhang, Kyung-Young
    • 비파괴검사학회지
    • /
    • 제33권3호
    • /
    • pp.257-263
    • /
    • 2013
  • Acoustic nonlinearity of surface waves is an effective method to evaluate the micro damage on the surface of materials. In this method, the $A_1$ (magnitude of the fundamental wave) and $A_2$ (magnitude of the second-order harmonic wave) are measured for evaluation of acoustic nonlinearity. However, if there is another source of second-order harmonic wave other than the material itself, the linear relationship between $A_1{^2}$ and $A_2$ will not be guaranteed. Therefore, the second-order harmonic generation by another source should be fully suppressed. In this paper, we investigated the initial second-order harmonic generation in narrowband surface waves by multi-line laser beams. The spatial profile of laser beam was considered in the cases of Gaussian and square-like. The temporal profile was assumed to be Gaussian. In case of Gaussian spatial profile, the generation of the initial second-order harmonic wave was inevitable. However, when the spatial profile was square-like, the generation of the initial second-order harmonic wave was able to be fully suppressed at specific duty ratio. These results mean that the multi-line laser beams of square-like profile with a proper duty ratio are useful to evaluate the acoustic nonlinearity of the generated surface waves.

트윈세대(Tween Generation) 아동복의 치수적합성에 관한 연구 -초등학교 5, 6학년, 중학교 1, 2학녕을 중심으로- (A Study on the Suitability of Sifting System for Children′s Clothing - focused on the Tween Generation from fifth grade to eighth grade -)

  • 김은경;최혜선;강여선
    • 한국의류학회지
    • /
    • 제26권5호
    • /
    • pp.691-702
    • /
    • 2002
  • The purpose of this study was to provide basic information on the propriety of the ready to wear garment sizes of Tween Generation(ages from 5th grade to 8th grade) who has different clothing preferences in color, styles, and design and also different body sizes and shapes from younger and older students. The objectives of the study were to ascertain (a) the body figure changes occurring during Tween Generation; (b) the coverage of manufactures'garment sizes. The body measurements of elementary school students(5th & 6th grades) and junior high school students(7th & 8th grades) provide the basic statistics for this study. The mean differences of each size within each figure type are compared by using t-teats. The differences in various manufacturers'apparel sizing and figure size are investigated. Also the body measurements and the apparel sizes of the manufacturers are compared in order to evaluate the suitability of the garment size. Results indicate that the body type factors are different in each age group. And manufactures'sizes come out to be much smaller than the actual body measurements. Young casual wear can cover junior high school students satisfactorily but for elementary school students, because of low drop-value, the overall satisfaction with filling is low.

태양광발전요소 데이터를 활용한 발전효율 퍼지 예측 모델 설계 (Design of Generation Efficiency Fuzzy Prediction Model using Solar Power Element Data)

  • 차왕철;박정호;조욱래;김재철
    • 전기학회논문지
    • /
    • 제63권10호
    • /
    • pp.1423-1427
    • /
    • 2014
  • Quantity of the solar power generation is heavily influenced by weather. In other words, due to difference in insolation, different quantity may be generated. However, it does not mean all areas with identical insolation produces same quantity because of various environmental aspects. Additionally, geographic factors such as altitude, height of plant may have an impact on the quantity. Hence, through this research, we designed a system to predict efficiency of the solar power generation system by applying insolation, weather factor such as duration of sunshine, cloudiness parameter and location. By applying insolation, weather data that are collected from various places, we established a system that fits with our nation. Apart from, we produced a geographic model equation through utilizing generated data installed nationwide. To design a prediction model that integrates two factors, we apply fuzzy algorithm, and validate the performance of system by establishing simulation system.

벤츄리 노즐 출구 형상과 작동 조건에 따른 캐비테이션 기포 발생 특성 연구 (Generation of emulsions due to the impact of surfactant-laden droplet on a viscous oil layer on water)

  • 오창훈;김준현;성재용
    • 한국가시화정보학회지
    • /
    • 제21권1호
    • /
    • pp.94-102
    • /
    • 2023
  • Three design parameters were considered in this study: outlet nozzle angle (30°, 60°, 80°), neck length (1 mm, 3 mm), and flow rate (0.5, 0.6, 0.7, 0.8 lpm). A neck diameter of 0.5 mm induced cavitation flow at a venture nozzle. A secondary transparent chamber was connected after ejection to increase bubble duration and shape visibility. The bubble size was estimated using a Gaussian kernel function to identify bubbles in the acquired images. Data on bubble size were used to obtain Sauter's mean diameter and probability density function to obtain specific bubble state conditions. The degree of bubble generation according to the bubble size was compared for each design variable. The bubble diameter increased as the flow rate increased. The frequency of bubble generation was highest around 20 ㎛. With the same neck length, the smaller the CV number, the larger the average bubble diameter. It is possible to increase the generation frequency of smaller bubbles by the cavitation method by changing the magnification angle and length of the neck. However, if the flow rate is too large, the average bubble diameter tends to increase, so an appropriate flow rate should be selected.

한반도 바람자원의 시공간적 분포 (Spatial and temporal distribution of Wind Resources over Korea)

  • 김도우;변희룡
    • 대기
    • /
    • 제18권3호
    • /
    • pp.171-182
    • /
    • 2008
  • In this study, we analyzed the spatial and temporal distribution of wind resources over Korea based on hourly observational data recorded over a period of 5 years from 457 stations belonging to Korea Meteorological Administration (KMA). The surface and 850 hPa wind data obtained from the Korea Local Analysis and Prediction System (KLAPS) and the Regional Data Assimilation and Prediction System (RDAPS) over a period of 1 year are used as supplementary data sources. Wind speed is generally high over seashores, mountains, and islands. In 62 (13.5%) stations, mean wind speeds for 5 years are greater than $3ms^{-1}$. The effects of seasonal wind, land-sea breeze, and mountain-valley winds on wind resources over Korea are evaluated as follows: First, wind is weak during summer, particularly over the Sobaek Mountains. However, over the coastal region of the Gyeongnam-province, strong southwesterly winds are observed during summer owing to monsoon currents. Second, the wind speed decreases during night-time, particularly over the west coast, where the direction of the land breeze is opposite to that of the large-scale westerlies. Third, winds are not always strong over seashores and highly elevated areas. The wind speed is weaker over the seashore of the Gyeonggi-province than over the other seashores. High wind speed has been observed only at 5 stations out of the 22 high-altitude stations. Detailed information on the wind resources conditions at the 21 stations (15 inland stations and 6 island stations) with high wind speed in Korea, such as the mean wind speed, frequency of wind speed available (WSA) for electricity generation, shape and scale parameters of Weibull distribution, constancy of wind direction, and wind power density (WPD), have also been provided. Among total stations in Korea, the best possible wind resources for electricity generation are available at Gosan in Jeju Island (mean wind speed: $7.77ms^{-1}$, WSA: 92.6%, WPD: $683.9Wm^{-2}$) and at Mt. Gudeok in Busan (mean wind speed: $5.66ms^{-1}$, WSA: 91.0%, WPD: $215.7Wm^{-2}$).