• 한국물환경학회지
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• 제28권1호
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• pp.26-37
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• 2012

Multi-dimensional hydrodynamic and water quality models are widely used to simulate the physical and biogeochemical processes in the surface water systems such as reservoirs and estuaries. Most of the models have adopted the Eulerian grid modeling framework, mainly because it can reasonably simulate physical dynamics and chemical species concentrations throughout the entire model domain. Determining the optimum grid cell size is important when using the Eulerian grid-based three-dimensional water quality models because the characteristics of species are assumed uniform in each of the grid cells and chemical species are represented by concentration (mass per volume). The objective of this study was to examine the effect of grid-size of a three dimensional hydrodynamic and water quality model (EFDC) on hydrodynamics and mass transport in the Saemangeum Reservoir. Three grid resolutions, respectively representing coarse (CG), medium (MG), and fine (FG) grid cell sizes, were used for a sensitivity analysis. The simulation results of numerical tracer showed that the grid resolution affects on the flow path, mass transport, and mixing zone of upstream inflow, and results in a bias of temporal and spatial distribution of the tracer. With the CG, in particular, the model overestimates diffusion in the mixing zone, and fails to identify the gradient of concentrations between the inflow and the ambient water.

• 한국시뮬레이션학회논문지
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• 제15권4호
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• pp.129-136
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• 2006

그리드 컴퓨팅은 단일 컴퓨터로는 해결할 수 없는 대용량의 작업을 처리하기 위해 제안되었다. 그리드 컴퓨팅은 지리적으로 분산된 이기종 자원들을 상호 연결하여 대용량의 작업들을 처리하는 새로운 차세대 컴퓨팅이다. 그런데, 분산된 이기종의 자원들을 모을 때에 많은 어려운 문제들이 발생한다. 특히, 자원들의 신뢰성을 보장하는 것은 가장 심각한 문제 중에 하나이다. 그래서 우리는 그리드 자원의 신뢰성을 측정하여 자원을 할당하는 그리드 자원 신뢰성 측정 스케줄링 모델을 제안한다. 우리는 자원의 상태 정보를 기반으로 하여 자원 신뢰성을 측정하고, DEVSJAVA 모델링과 시뮬레이션 환경에서 그리드 시뮬레이션 모델에 그리드 자원 신뢰성 측정 방법을 적용하였다. 그리고, 이 논문은 스케줄링 모델들의 Utilization, Job loss, Throughput 그리고 Average Turn-around Time 같은 파라미터들을 측정하였고, 자원 신뢰성 측정을 이용한 그리드 자원 신뢰성 측정 스케줄링 모델의 실험 결과들을 기존의 스케줄링 모델들(랜덤 스케줄링 모델, 라운드 로빈 스케줄링 모델)과 비교하였다. 이 실험 결과들은 자원 신뢰성 측정 스케줄링 모델이 랜덤 스케줄링 모델과 라운드 로빈 스케줄링 모델에 비해 효율적인 자원 할당과 안정적인 작업 처리를 제공한다는 것을 보여준다.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제10권S_1호
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• pp.23-28
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• 2001

A new numerical weather prediction and dispersion model, the Operational Multi-scale Environment model with Grid Adaptivity(OMEGA) including an embedded Atmospheric Dispersion Model(ADM), is introduced as a next generation atmospheric simulation system for real-time hazard predictions, such as severe weather or the transport of hazardous release. OMEGA is based on an unstructured grid that can facilitate a continuously varying horizontal grid resolution ranging from 100 km down to 1 km and a vertical resolution from 20 -30 meters in the boundary layer to 1 km in the free atmosphere. OMEGA is also naturally scale spanning and time. In particular, the unstructured grid cells in the horizontal dimension can increase the local resolution to better capture the topography or important physical features of the atmospheric circulation and cloud dynamics. This means the OMEGA can readily adapt its grid to a stationary surface, terrain features, or dynamic features in an evolving weather pattern. While adaptive numerical techniques have yet to be extensively applied in atmospheric models, the OMEGA model is the first to exploit the adaptive nature of an unstructured gridding technique for atmospheric simulation and real-time hazard prediction. The purpose of this paper is to provide a detailed description of the OMEGA model, the OMEGA system, and a detailed comparison of OMEGA forecast results with observed data.

• 품질경영학회지
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• 제49권2호
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• pp.201-211
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• 2021

Purpose: This paper proposes a density adaptive grid algorithm for the k-NN regression model to reduce the computation time for large datasets without significant prediction accuracy loss. Methods: The proposed method utilizes the concept of the grid with centroid to reduce the number of reference data points so that the required computation time is much reduced. Since the grid generation process in this paper is based on quantiles of original variables, the proposed method can fully reflect the density information of the original reference data set. Results: Using five real-life datasets, the proposed k-NN regression model is compared with the original k-NN regression model. The results show that the proposed density adaptive grid-based k-NN regression model is superior to the original k-NN regression in terms of data reduction ratio and time efficiency ratio, and provides a similar prediction error if the appropriate number of grids is selected. Conclusion: The proposed density adaptive grid algorithm for the k-NN regression model is a simple and effective model which can help avoid a large loss of prediction accuracy with faster execution speed and fewer memory requirements during the testing phase.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2005년도 추계학술대회 및 정기총회
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• pp.65-70
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• 2005

Recently, Grid is embossed as a new issue according to the need of cooperation related to distributed resources, data sharing, Interaction and so on. It focuses on sharing of large scale resources, high-performance, applications of new paradigms, which improved more than established distributed computing. Because of the environmental specificity distributed geographically and dynamic, the most important problem in grid environment is to share and to allocate distributed grid resources. This paper proposes supply-driven strategies model that is applicable for resource management in grid environment and presents a optimal resource allocation algorithm based on resource demands. Supply-driven strategies model can offer efficient resource management by transaction allocation based on user demand and provider strategy. This paper implements the supply-driven strategies model on the DEVS modeling and simulation environment and shows the efficiency and excellency of this model by comparing with established models.

• 조명전기설비학회논문지
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• 제21권7호
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• pp.46-53
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• 2007

Micro-Grid는 높은 전력품질을 제공하기 위해 독립적으로 유효 및 무효전력 제어가 가능한 연료전지와 마이크로터빈과 같이 친환경적이고 신뢰할 수 있는 전력원을 채용하는 Micro-Source들로 구성된다. 본 논문은 Micro-Grid시스템의 동특성 모델링과 안정도 해석의 기본적 해석 방법에 관하여 연구하였다. Micro-Source 인버터의 기본주파수 모델을 이용하여 Micro-Grid 시스템의 동특성 모델을 구성하였다. Micro-Grid 시스템의 선형화된 동특성 모델을 기초로 하여 안정도 해석을 수행하였다. 사례연구 결과로부터 Micro-Grid 시스템의 안정도에 영향을 미치는 파라미터를 식별하였다.

• 전기학회논문지
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• 제56권5호
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• pp.841-847
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• 2007

This paper deals with the micro-grid consisting of micro-sources which adopt voltage sourced inverters with independent real and reactive power control capability for providing premium power quality. This paper presents dynamic modeling and the stable operating range of the micro-grid system varying the parameters of the micro-sources. The fundamental frequency model of the micro-source inverters are considered to form a dynamic model of the micro-grid system. Stability analysis is performed based on the linearized dynamic model of the micro-grid system. Case study results show the parameters affecting the stability of the micro-grid and the stable operating range of the micro-sources.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 1998년도 추계 학술대회논문집
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• pp.55-61
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• 1998

The purpose of this study is to compare the predictive behaviors of the extended $k-{\varepsilon}$ turbulence model and the standard $k-{\varepsilon}$ turbulence model. Grid dependency is tested with the H-type grid and the O-type grid. Computations have been performed for a circular-to-rectangular transition duct. Numerical results for several sections along the streamwise have been obtained to compare with experimental results. The Reynolds number is 390,000 based on the bulk velocity at the inlet. The computed axial velocity contours, transverse velocity profiles, static pressure contours, peripheral skin friction coefficient, and peripheral wall static pressure distributions have been compared with experimental results. The computed results obtained with the extended $k-{\varepsilon}$ turbulence model show better agreement with experimental results than those obtained with the standard $k-{\varepsilon}$ turbulence model. Comparing to the computed results obtained with the H-type grid and O-type grid, those with H-type grid agree well with experimental results.

• 한국전산유체공학회지
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• 제3권2호
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• pp.9-16
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• 1998

Predictive behaviors by the extended k-${\varepsilon}$ turbulence model and the standard k-${\varepsilon}$ turbulence model are compared. Grid dependency is tested with the H-type grid as well as the O-type grid. Computations have been performed on a circular-to-rectangular transition duct. The Reynolds number is 390,000 based on the bulk velocity at the inlet. The computed axial velocity contours, transverse velocity profiles, static pressure contours, peripheral skin friction coefficient, peripheral wall static pressure distributions and turbulence kinetic energy have been compared with experimental results. The computed results than those obtained with the standard k-${\varepsilon}$ turbulence model. Comparing to the computed results obtained with the H-type grid and O-type grid, those with H-type grid seem to agree well with experimental results.

• Journal of Advanced Marine Engineering and Technology
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• 제35권1호
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• pp.82-88
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• 2011

본 연구의 목적은 실용연소기를 대상으로 한 복잡한 난류 연소장에의 Dynamic SGS G-방정식의 유용성을 확인하는 데에 있다. 본 연구에서는 sub-grid 난류확산과 화염 두께에 근거한 새로운 난류화염 전파속도 모델을 제안하였으며, sub-grid 난류강도를 이용한 기존 모델과의 비교, 검증을 수행하였다. 해석결과는 실험결과와의 비교를 통해 속도와 온도분포를 잘 예측하고 있음을 확인하였다.