• Title/Summary/Keyword: Sub-grid

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A Study on the Pattern of Spatial Structure in University Campus (대학 캠퍼스 공간구조 유형에 관한 연구)

  • 구민아;김영대
    • Journal of the Korean Institute of Landscape Architecture
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    • v.26 no.4
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    • pp.135-143
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    • 1999
  • This study is about the pattern of spatial structures of major university campuses in Korea. The pattern is composed of buildings, circulation, and open space within the campus. It is physical structural system which makes campus more educational environment as well as new academic landscape. The pattern is checked on the basis of existing sub-patterns of eleven universities with base data by using computer program, Autocad and Landcadd. The result is that most of campus spatial structures consists of simple and unified grid pattern. Basic educational facilities are at the center of the whole structure as well. Some universities are located in suburb and have large site which makes it more open space oriented pattern, more various exterior space and more specific circulation system. So the campus patterns of recently built is more diverse and has more design components. In most cases, campus does not have strong spatial coherence among its buildings, circulation, and open space. It is important to develop Korean formal campus spatial structure which is intrinsic to its site and is proper to its academic plan. Campus spatial structure should be formulated to embrace diverse demands of university and to accumulate unique university landscape.

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Analysis of Factor on the Temperature Effect on the Output of PV Module (온도에 따른 PV모듈의 출력에 영향을 미치는 요소 분석)

  • Lim, Jong-Log;Woo, Sung-Cheol;Jung, Tae-Hee;Min, Yong-Ki;Won, Chang-Sub;Ahn, Hyung-Keun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.3
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    • pp.365-370
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    • 2013
  • Generally, photovoltaic modules consist of glass, EVA, Solar Cell, back sheet and ribbon. But EVA, solar cell, ribbon affect electric output with temperature. EVA is a change in the transmittance of light from the sun. In addition, the solar cell output is decreased with temperature and the ribbon increases resistance. Transmittance and reflectance of glass and EVA were measured. In this paper, the characteristics of the components of PV module as EVA and Glass, ribbon were studied by variable temperature. effects on material properties investigated. As a result, glass is independent in temperature variation. EVA was the reduction 1~4% in transmittance. Solar cell decrease 0.469[%/$^{\circ}C$] in electric output by temperature variation. Other factors was controlled in solar cell..

Direct Numerical and Large Eddy Simulations of Transitional Flows around Turbulence Stimulators at Very Low Speeds (초저속 영역에서 난류 촉진기 주위 천이 유동의 직접 수치 및 대형 와 모사)

  • Lee, Sang Bong
    • Journal of the Society of Naval Architects of Korea
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    • v.55 no.3
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    • pp.265-273
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    • 2018
  • Direct numerical and large eddy simulations of transitional flows around studs installed on flat plate and bulbous bow have been performed to investigate an effectiveness of turbulence stimulators on laminar-to-turbulence transition at a very low speed. The flow velocity was determined to be 0.366m/s corresponding to 4 knots of full-scale ship speed when the objective ship was Kriso container ship. The spatial evolution of skin friction coefficient disclosed that a fully development of turbulence was observed behind the second stud installed on flat plate while a rapid transition from laminar to turbulence gave rise to the fully development of turbulence behind the first stud installed on bulbous bow. A comparison of streamwise mean velocity profiles showed that the viscous sublayer and log-layer were in good agreement with previous results although the friction velocity of Smagrosinsky sub-grid scale model was about 10% larger than that of direct numerical simulation. While the turbulence intensities of bulbous bow was similar to those of flat plate in inner region, larger intensities of turbulence were observed in outer region of bulbous bow than those of flat plate.

A New Random SPWM Technique for AC-AC Converter-Based WECS

  • Singh, Navdeep;Agarwal, Vineeta
    • Journal of Power Electronics
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    • v.15 no.4
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    • pp.939-950
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    • 2015
  • A single-stage AC-AC converter has been designed for a wind energy conversion system (WECS) that eliminates multistage operation and DC-link filter elements, thus resolving size, weight, and reliability issues. A simple switching strategy is used to control the switches that changes the variable-frequency AC output of an electrical generator to a constant-frequency supply to feed into a distributed electrical load/grid. In addition, a modified random sinusoidal pulse width modulation (RSPWM) technique has been developed for the designed converter to make the overall system more efficient by increasing generating power capacity and reducing the effects of inter-harmonics and sub-harmonics generated in the WECS. The technique uses carrier and reference waves of variable switching frequency to calculate the firing angles of the switches of the converter so that the three-phase output voltage of the converter is very close to a sine wave with reduced THD. A comparison of the performance of the proposed RSPWM technique with the conventional SPWM demonstrated that the power generated by a turbine in the proposed approximately increased by 5% to 10% and THD reduces by 40% both in voltage and current with respect to conventional SPWM.

Rapid Electric Vehicle Charging System with Enhanced V2G Performance

  • Kang, Taewon;Kim, Changwoo;Suh, Yongsug;Park, Hyeoncheol;Kang, Byungik;Kim, Simon
    • Proceedings of the KIPE Conference
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    • 2012.07a
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    • pp.201-202
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    • 2012
  • This paper presents a simple and cost-effective stand-alone rapid battery charging system of 30kW for electric vehicles. The proposed system mainly consists of active front-end rectifier of neutral point clamped 3-level type and non-isolated bi-directional dc-dc converter of multi-phase interleaved half-bridge topology. The charging system is designed to operate for both lithium-polymer and lithium-ion batteries. The complete charging sequence is made up of three sub-interval operating modes; pre-charging mode, constant-current mode, and constant-voltage mode. Each mode is operated according to battery states: voltage, current and State of Charging (SOC). The proposed system is able to reach the full-charge state within less than 16min for the battery capacity of 8kWh by supplying the charging current of 67A. The optimal discharging algorithm for Vehicle to the Grid (V2G) operation has been adopted to maintain the discharging current of 1C. Owing to the simple and compact power conversion scheme, the proposed solution has superior module-friendly mechanical structure which is absolutely required to realize flexible power expansion capability in a very high-current rapid charging system. Experiment waveforms confirm the proposed functionality of the charging system.

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DEVELOPMENT OF THE MATRA-LMR-FB FOR FLOW BLOCKAGE ANALYSIS IN A LMR

  • Ha, Kwi-Seok;Jeong, Hae-Yong;Chang, Won-Pyo;Kwon, Young-Min;Cho, Chung-Ho;Lee, Yong-Bum
    • Nuclear Engineering and Technology
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    • v.41 no.6
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    • pp.797-806
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    • 2009
  • The Multichannel Analyzer for Transient and steady-state in Rod Array - Liquid Metal Reactor for Flow Blockage analysis (MATRA-LMR-FB) code for the analysis of a subchannel blockage has been developed and evaluated through several experiments. The current version of the code is improved here by the implementation of a distributed resistance model which accurately considers the effect of flow resistance on wire spacers, by the addition of a turbulent mixing model, and by the application of a hybrid scheme for low flow regions. Validation calculations for the MATRA-LMR-FB code were performed for Oak Ridge National Laboratory (ORNL) 19-pin tests with wire spacers and Karlsruhe 169-pin tests with grid spacers. The analysis of the ORNL 19-pin tests conducted using the code reveals that the code has sufficient predictive accuracy, within a range of 5 $^{\circ}C$, for the experimental data with a blockage. As for the results of the analyses, the standard deviation for the Karlsruhe 169-pin tests, 0.316, was larger than the standard deviation for the ORNL 19-pin tests, 0.047.

Frequency-Based Image Analysis of Random Patterns: an Alternative Way to Classical Stereocorrelation

  • Molimard, J.;Boyer, G.;Zahouani, H.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.30 no.3
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    • pp.181-193
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    • 2010
  • The paper presents an alternative way to classical stereocorrelation. First, 2D image processing of random patterns is described. Sub-pixel displacements are determined using phase analysis. Then distortion evaluation is presented. The distortion is identified without any assumption on the lens model because of the use of a grid technique approach. Last, shape measurement and shape variation is caught by fringe projection. Analysis is based on two pin-hole assumptions for the video-projector and the camera. Then, fringe projection is coupled to in-plane displacement to give rise to 3D measurement set-up. Metrological characterization shows a resolution comparable to classical (stereo) correlation technique ($1/100^{th}$ pixel). Spatial resolution seems to be an advantage of the method, because of the use of temporal phase stepping (shape measurement, 1 pixel) and windowed Fourier transform (in plane displacements measurement, 9 pixels). Two examples are given. First one is the study of skin properties; second one is a study on leather fabric. In both cases, results are convincing, and have been exploited to give mechanical interpretation.

Application and First Evaluation of the Operational RAMS Model for the Dispersion Forecast of Hazardous Chemicals - Validation of the Operational Wind Field Generation System in CARIS (유해화학물질 대기확산 예측을 위한 RAMS 기상모델의 적용 및 평가 - CARIS의 바람장 모델 검증)

  • Kim, C.H.;Na, J.G.;Park, C.J.;Park, J.H.;Im, C.S.;Yoon, E.;Kim, M.S.;Park, C.H.;Kim, Y.J.
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.5
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    • pp.595-610
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    • 2003
  • The statistical indexes such as RMSE (Root Mean Square Error), Mean Bias error, and IOA (Index of agreement) are used to evaluate 3 Dimensional wind and temperature fields predicted by operational meteorological model RAMS (Regional Atmospheric Meteorological System) implemented in CARIS (Chemical Accident Response Information System) for the dispersion forecast of hazardous chemicals in case of the chemical accidents in Korea. The operational atmospheric model, RAMS in CARIS are designed to use GDAPS, GTS, and AWS meteorological data obtained from KMA (Korean Meteorological Administration) for the generation of 3-dimensional initial meteorological fields. The predicted meteorological variables such as wind speed, wind direction, temperature, and precipitation amount, during 19 ∼ 23, August 2002, are extracted at the nearest grid point to the meteorological monitoring sites, and validated against the observations located over the Korean peninsula. The results show that Mean bias and Root Mean Square Error are 0.9 (m/s), 1.85 (m/s) for wind speed at 10 m above the ground, respectively, and 1.45 ($^{\circ}C$), 2.82 ($^{\circ}C$) for surface temperature. Of particular interest is the distribution of forecasting error predicted by RAMS with respect to the altitude; relatively smaller error is found in the near-surface atmosphere for wind and temperature fields, while it grows larger as the altitude increases. Overall, some of the overpredictions in comparisons with the observations are detected for wind and temperature fields, whereas relatively small errors are found in the near-surface atmosphere. This discrepancies are partly attributed to the oversimplified spacing of soil, soil contents and initial temperature fields, suggesting some improvement could probably be gained if the sub-grid scale nature of moisture and temperature fields was taken into account. However, IOA values for the wind field (0.62) as well as temperature field (0.78) is greater than the 'good' value criteria (> 0.5) implied by other studies. The good value of IOA along with relatively small wind field error in the near surface atmosphere implies that, on the basis of current meteorological data for initial fields, RAMS has good potentials to be used as a operational meteorological model in predicting the urban or local scale 3-dimensional wind fields for the dispersion forecast in association with hazardous chemical releases in Korea.

Selectivity Estimation using the Generalized Cumulative Density Histogram (일반화된 누적밀도 히스토그램을 이용한 공간 선택율 추정)

  • Chi, Jeong-Hee;Kim, Sang-Ho;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.11D no.4
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    • pp.983-990
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    • 2004
  • Multiple-count problem is occurred when rectangle objects span across several buckets. The CD histogram is a technique which selves this problem by keeping four sub-histograms corresponding to the four points of rectangle. Although It provides exact results with constant response time, there is still a considerable issue. Since it is based on a query window which aligns with a given grid, a number of errors nay be occurred when it is applied to real applications. In this paper, we propose selectivity estimation techniques using the generalized cumulative density histogram based on two probabilistic models : \circled1 probabilistic model which considers the query window area ratio, \circled2 probabilistic model which considers intersection area between a given grid and objects. Our method has the capability of eliminating an impact of the restriction on query window which the existing cumulative density histogram has. We experimented with real datasets to evaluate the proposed methods. Experimental results show that the proposed technique is superior to the existing selectivity estimation techniques. Furthermore, selectivity estimation technique based on probabilistic model considering the intersection area is very accurate(less than 5% errors) at 20% query window. The proposed techniques can be used to accurately quantify the selectivity of the spatial range query on rectangle objects.

High Resolution Rainfall Prediction Using Distributed Computing Technology (분산 컴퓨팅 기술을 이용한 고해상도 강수량 예측)

  • Yoon, JunWeon;Song, Ui-Sung
    • Journal of Digital Contents Society
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    • v.17 no.1
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    • pp.51-57
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    • 2016
  • Distributed Computing attempts to harness a massive computing power using a great numbers of idle PCs resource distributed linked to the internet and processes a variety of applications parallel way such as bio, climate, cryptology, and astronomy. In this paper, we develop internet-distributed computing environment, so that we can analyze High Resolution Rainfall Prediction application in meteorological field. For analyze the rainfall forecast in Korea peninsula, we used QPM(Quantitative Precipitation Model) that is a mesoscale forecasting model. It needs to a lot of time to construct model which consisted of 27KM grid spacing, also the efficiency is degraded. On the other hand, based on this model it is easy to understand the distribution of rainfall calculated in accordance with the detailed topography of the area represented by a small terrain model reflecting the effects 3km radius of detail and terrain can improve the computational efficiency. The model is broken down into detailed area greater the required parallelism and increases the number of compute nodes that efficiency is increased linearly.. This model is distributed divided in two sub-grid distributed units of work to be done in the domain of $20{\times}20$ is networked computing resources.