• Title/Summary/Keyword: Empirical power

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Physical Modeling of SiC Power Diodes with Empirical Approximation

  • Hernandez, Leobardo;Claudio, Abraham;Rodriguez, Marco A.;Ponce, Mario;Tapia, Alejandro
    • Journal of Power Electronics
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    • 제11권3호
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    • pp.381-388
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    • 2011
  • This article presents the development of a model for SiC power diodes based on the physics of the semiconductor. The model is able to simulate the behavior of the dynamics of the charges in the N- region based on the stored charge inside the SiC power diode, depending on the working regime of the device (turn-on, on-state, and turn-off). The optimal individual calculation of the ambipolar diffusion length for every phase of commutation allows for solving the ambipolar diffusion equation (ADE) using a very simple approach. By means of this methodology development a set of differential equations that models the main physical phenomena associated with the semiconductor power device are obtained. The model is developed in Pspice with acceptable simulation times and without convergence problems during its implementation.

A modified test for multivariate normality using second-power skewness and kurtosis

  • Namhyun Kim
    • Communications for Statistical Applications and Methods
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    • 제30권4호
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    • pp.423-435
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    • 2023
  • The Jarque and Bera (1980) statistic is one of the well known statistics to test univariate normality. It is based on the sample skewness and kurtosis which are the sample standardized third and fourth moments. Desgagné and de Micheaux (2018) proposed an alternative form of the Jarque-Bera statistic based on the sample second power skewness and kurtosis. In this paper, we generalize the statistic to a multivariate version by considering some data driven directions. They are directions given by the normalized standardized scaled residuals. The statistic is a modified multivariate version of Kim (2021), where the statistic is generalized using an empirical standardization of the scaled residuals of data. A simulation study reveals that the proposed statistic shows better power when the dimension of data is big.

Bora wind characteristics for engineering applications

  • Lepri, Petra;Vecenaj, Zeljko;Kozmar, Hrvoje;Grisogono, Branko
    • Wind and Structures
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    • 제24권6호
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    • pp.579-611
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    • 2017
  • Bora is a strong, usually dry temporally and spatially transient wind that is common at the eastern Adriatic Coast and many other dynamically similar regions around the world. One of the Bora main characteristics is its gustiness, when wind velocities can reach up to five times the mean velocity. Bora often creates significant problems to traffic, structures and human life in general. In this study, Bora velocity and near-ground turbulence are studied using the results of three-level high-frequency Bora field measurements carried out on a meteorological tower near the city of Split, Croatia. These measurements are analyzed for a period from April 2010 until June 2011. This rather long period allows for making quite robust and reliable conclusions. The focus is on mean Bora velocity, turbulence intensity, Reynolds shear stress and turbulence length scale profiles, as well as on Bora velocity power spectra and thermal stratification. The results are compared with commonly used empirical laws and recommendations provided in the ESDU 85020 wind engineering standard to question its applicability to Bora. The obtained results report some interesting findings. In particular, the empirical power- and logarithmic laws proved to fit mean Bora velocity profiles well. With decreasing Bora velocity there is an increase in the power-law exponent and aerodynamic surface roughness length, and simultaneously a decrease in friction velocity. This indicates an urban-like velocity profile for smaller wind velocities and a rural-like velocity profile for larger wind velocities. Bora proved to be near-neutral thermally stratified. Turbulence intensity and lateral component of turbulence length scales agree well with ESDU 85020 for this particular terrain type. Longitudinal and vertical turbulence length scales, Reynolds shear stress and velocity power spectra differ considerably from ESDU 85020. This may have significant implications on calculations of Bora wind loads on structures.

새로운 응축열전달계수 상관식이 적용된 MARS-KS를 활용한 원자로건물 피동냉각계통 열제거 성능의 수치적 연구 (Numerical Study of the Heat Removal Performance for a Passive Containment Cooling System using MARS-KS with a New Empirical Correlation of Steam Condensation)

  • 장영준;이연건;김신;임상규
    • 에너지공학
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    • 제27권4호
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    • pp.27-35
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    • 2018
  • 피동원자로건물냉각계통(PCCS)은 사고 발생 시 원자로건물로 방출된 열을 제거하여 원전의 건전성을 보장하기 위해 설계되었다. PCCS의 열제거 성능은 증기-공기 혼합물의 응축열전달에 의해 결정된다. 본 연구에서는 응축열전달계수의 예측 정확도를 향상시키기 위해 새로운 상관식을 이식한 MARS-KS 코드를 사용하여 PCCS의 열제거 성능을 평가하였다. MARS-KS 코드에 사용된 새로운 상관식은 압력, 벽면과냉도, 비응축성 기체 질량분율 및 응축튜브의 종횡비와 같은 열전달계수에 영향을 미치는 변수들을 이용하여 개발하였고, 이는 MARS-KS코드의 기본 응축 모델인 Colburn-Hougen 모델을 대체하여 적용되었다. 대형파단 냉각재상실사고 발생 시 PCCS의 운전에 따른 다양한 열수력학적 변수들을 분석하였고, 열제거 성능 평가를 위해 새로운 상관식이 적용된 MARS-KS 코드의 원자로건물 압력거동 계산결과와 기존의 응축모델을 이용한 해석결과를 비교하였다.

Experimental Study on Combined Ocean Thermal Energy Conversion with Waste Heat of Power Plant

  • Jung, Hoon;Jo, Jongyoung;Chang, Junsung;Lee, Sanghyup
    • KEPCO Journal on Electric Power and Energy
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    • 제5권3호
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    • pp.215-222
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    • 2019
  • This work is experimental study of 10 kW specialized Combined Ocean Thermal Energy Conversion. We propose a C-OTEC technology that directly uses exhaust thermal energy from power station condensers to heat the working fluid (R134a), and tests the feasibility of such power station by designing, manufacturing, installing, and operating a 10 kW-pilot facility. Power generation status was monitored by using exhaust thermal energy from an existing power plant located on the east coast of the Korean peninsula, heat exchange with 300 kW of heat capacity, and a turbine, which can exceed enthalpy efficiency of 45%. Output of 8.5 kW at efficiency of 3.5% was monitored when the condenser temperature and seawater temperature are $29^{\circ}C$ and $7.5^{\circ}C$, respectively. The evaluation of the impact of large-capacity C-OTEC technology on power station confirmed the increased value of the technology on existing power generating equipment by improving output value and reducing hot waste water. Through the research result, the technical possibility of C-OTEC has been confirmed, and it is being conducted at 200 kW-class to gain economic feasibility. Based on the results, authors present an empirical study result on the 200 kW C-OTEC design and review the impact on power plant.

도파고 경험식 (Empirical Equation of Wave Run-up Height)

  • 유동훈;김인호
    • 한국해안해양공학회지
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    • 제16권4
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    • pp.233-240
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    • 2004
  • 도파고를 산정하는 경험식을 도출하기 위하여 도파지점에서의 수리조건을 대표하는 수치를 적용한 새로운 무차원수인 파활동경사 $S_x$를 도입하였다. Saville(1958)의 실험자료에 기초하여 사면경사, 파형경사 등과 도파고비와의 관계를 도출하여 수심 구간별로 도파고를 산정할 수 있는 경험식을 제시하였다. 한편 Ahrens(1988) 관측자료와 Mase(1989) 실험자료를 이용하여 조도 영향을 고려하며 광범위한 경사조건에 적용할 수 있는 보다 일반성이 확보된 경험식을 도출하였다. Mase(1989)가 시도한 바와 같이 Iribarren 수를 도입한 경우에는 비선형관계가 유도되어 지수형 산정식이 도출된다. 이에 반하여 지점 파활동경사를 도입하였을 경우에는 단순히 선형 비례하는 간단한 일차식의 형태로 광범위한 수심과 경사 구간에 적용할 수 있는 경험식을 도출할 수 있었다.

충돌제트 현상을 고려한 발사체 음향하중의 경험적 예측 (Empirical Prediction of Acoustic Load of Launch Vehicle Including Jet Impingement)

  • 박서룡;이규호;공병학;강경태;장석종;이수갑
    • 한국음향학회지
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    • 제33권3호
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    • pp.153-162
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    • 2014
  • 경험적 음향하중 예측 방법은 우주 발사체 상단 페어링에 가해지는 음향하중을 예측하는 방법으로 상사성 원리를 기반으로 한 제트 실험 데이터를 기반으로 한다. 대표적인 경험적 예측기법인 DSM-II(Distributed Source Method-II)는 제트 화염 축을 따라 소음원을 배치하는 방법이다. 그러나 이러한 경험적 예측 모델은 자유제트 실험 결과를 기반으로 하였기 때문에 실제 상황에 존재하는 충돌 소음원을 고려하기 어렵다는 한계가 있다. 따라서 본 논문에서는 기존 예측 방법에 충돌 소음원을 추가 배치함으로써 충돌 제트 효과를 반영하는 예측 방법을 제안하였다. 이를 위하여 소음원의 위치, 스펙트럼, 세기, 방향성 특징을 고려하였으며 KSR-III(Korean Sounding Rocket-III) 로켓에 대한 음향 하중 예측 결과를 기존 예측 방법 및 실험 결과와 비교하였다.

MSET PERFORMANCE OPTIMIZATION THROUGH REGULARIZATION

  • HINES J. WESLEY;USYNIN ALEXANDER
    • Nuclear Engineering and Technology
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    • 제37권2호
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    • pp.177-184
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    • 2005
  • The Multivariate State Estimation Technique (MSET) is being used in Nuclear Power Plants for sensor and equipment condition monitoring. This paper presents the use of regularization methods for optimizing MSET's predictive performance. The techniques are applied to a simulated data set and a data set obtained from a nuclear power plant currently implementing empirical, on-line, equipment condition monitoring techniques. The results show that regularization greatly enhances the predictive performance. Additionally, the selection of prototype vectors is investigated and a local modeling method is presented that can be applied when computational speed is desired.

The Bandwidth from the Density Power Divergence

  • Pak, Ro Jin
    • Communications for Statistical Applications and Methods
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    • 제21권5호
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    • pp.435-444
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    • 2014
  • The most widely used optimal bandwidth is known to minimize the mean integrated squared error(MISE) of a kernel density estimator from a true density. In this article proposes, we propose a bandwidth which asymptotically minimizes the mean integrated density power divergence(MIDPD) between a true density and a corresponding kernel density estimator. An approximated form of the mean integrated density power divergence is derived and a bandwidth is obtained as a product of minimization based on the approximated form. The resulting bandwidth resembles the optimal bandwidth by Parzen (1962), but it reflects the nature of a model density more than the existing optimal bandwidths. We have one more choice of an optimal bandwidth with a firm theoretical background; in addition, an empirical study we show that the bandwidth from the mean integrated density power divergence can produce a density estimator fitting a sample better than the bandwidth from the mean integrated squared error.

풍력발전출력의 공간예측 향상을 위한 상관관계감소거리(CoDecDist) 모형 분석에 관한 연구 (A Study on the Analysis of Correlation Decay Distance(CoDecDist) Model for Enhancing Spatial Prediction Outputs of Spatially Distributed Wind Farms)

  • 허진
    • 조명전기설비학회논문지
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    • 제29권7호
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    • pp.80-86
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    • 2015
  • As wind farm outputs depend on natural wind resources that vary over space and time, spatial correlation analysis is needed to estimate power outputs of wind generation resources. As a result, geographic information such as latitude and longitude plays a key role to estimate power outputs of spatially distributed wind farms. In this paper, we introduce spatial correlation analysis to estimate the power outputs produced by wind farms that are geographically distributed. We present spatial correlation analysis of empirical power output data for the JEJU Island and ERCOT ISO (Texas) wind farms and propose the Correlation Decay Distance (CoDecDist) model based on geographic correlation analysis to enhance the estimation of wind power outputs.