Korea Hydro & Nuclear Power (KHNP) is currently developing a vertical concrete dry storage module for the dry storage of used nuclear fuel within nuclear power plants. This module is designed with a structure consisting of cylinders, which can block the ingress of external air, thereby preventing Chloride-Induced Stress Corrosion Cracking (CISCC). However, due to the presence of these cylinder structures, unlike conventional dry storage systems, it cannot directly dissipate heat to the external atmosphere, making thermal evaluation an important issue. The SF dry storage module being developed by KHNP is a massive concrete structure of approximately 20 m × 10 m × 7 m in size, employing a vertical storage system. To demonstrate the safety of such a large structure, there is no alternative to conducting experiments with scaled-down models. Furthermore, according to NUREG-2215 Section 5.5.4, it is explicitly mentioned that design-verification testing can be performed using scaled-down models. In this paper, a 1/4 scaled-down model was constructed to perform thermal performance verification experiments, and the effectiveness of this model was analyzed using Computational Fluid Dynamics (CFD) methods. The analysis results indicated that there was not a significant difference in terms of maximum concrete temperature and air outlet temperature. However, a considerable difference was observed in the canister surface temperature. Therefore, it is concluded that careful consideration of natural convection heat transfer is necessary for the full application of the scaled-down model.

Spent nuclear fuels should be safely stored until being disposed and dry storage system is predominantly used to retain the fuels. During long-term storage, there are several mechanisms that could result in the degradation of spent nuclear fuels, and the temperature is the most important parameter to predict and estimate the degradation behaviors. Therefore, thermal analysis to estimate temperatures of spent nuclear fuel and the storage system should be performed to evaluate whether the temperatures exceed safety limit. Recently, thermal hydraulic analysis with CFD codes is widely used to investigate the temperature of spent nuclear fuel in dry storage. Herein, Explicit CFD analysis model is introduced and validated by estimating the thermal hydraulic response of the dry storage system that is Dry Cask Simulator (DCS). Extended Storage Collaborating Program (ESCP) led by the Electric Power Research Institute (EPRI) is organized to assess degradation effects of spent nuclear fuel during long-term dry storage, and DCS is the first phase of the program. The dry storage system, containing a single BWR assembly in a canister, was designed to produce validation-quality data for thermal analysis model. ANSYS FLUENT is used to simulate DCS, and the test condition of 0.5 kW decay heat and 100 kPa helium pressure was investigated in this study. In case of peak cladding temperature (PCT), PCT from the experiment was 376 K while that of CFD was 374 K. It implies CFD simulation gives good agreement with experimental measurement. Peak temperatures of channel can, basket, canister and shell predicted by CFD simulation also show good prediction and the discrepancies were less than 7 K while measurements uncertainty was 7 K.

Because the inner environment of greenhouse has a direct impact on crop production, many studies have been performed to develop technologies for controlling the environment in the greenhouse. However, it is difficult to apply the technology developed to all greenhouses because those studies were conducted through empirical experiments in specific greenhouses. It takes a lot of time and cost to develop the models that can be applicable to all greenhouse in real situation. Therefore studies are underway to solve this problem using computer-based simulation techniques. In this study, a model was developed to predict the inner environment of glass greenhouse using CFD simulation method. The developed model was validated using primary and secondary heating experiment and daytime greenhouse inner temperature data. As a result of comparing the measured and predicted value, the mean temperature and uniformity were 2.62°C and 2.92%p higher in the predicted value, respectively. R2 was 0.9628, confirming that the measured and the predicted values showed similar tendency. In the future, the model needs to improve by applying the shape of the greenhouse and the position of the inner heat exchanger for efficient thermal energy management of the greenhouse.

Odor dispersion from road emissions were investigated using CFD (Computational Fluid Dynamics). The Shear Stress Transport k-ω model in FLUENT CFD code was used to simulate odor dispersion around the road. The two road configurations used in the study were at-grade and fill road. Experimental data from the wind tunnel obtained in a previous study was used to validate the numerical result of the road dispersion. Five validation metrics are used to obtain an overall and quantitative evaluation of the performance of Shear Stress Transport k-ω models: the fractional bias (FB), the geometric mean bias (MG), the normalized mean square error (NMSE), the geometric variance (VG), and the fraction of predictions within a factor of two of observations (FAC2). The results of the vertical concentration profile for neutral atmospheric show reasonable performance for all five metrics. Six atmospheric stability conditions were used to evaluate the stability effect of road emission dispersion. It was found that the stability category D case of at-grade decreased the non-dimensional surface odor concentration smaller 0.78~0.93 times than those of stability category A case, and that F case decreased 0.39~0.56 times smaller than those of stability category A case. It was also found that stability category D case of filled road decreased 0.84~0.92 times the non-dimensional surface odor concentration of category A case and stability category F case decreased 0.45~0.58 times compared with stability category A case.

Air pollution dispersion from rooftop emissions around hexahedron buildings was investigated using computational fluid dynamics (referred to hereafter as CFD). The Shear Stress Transport (referred to hereafter as SST) k-ω model in FLUENT CFD code was used to simulate the flow and pollution dispersion around the hexahedron buildings. The two buildings used in the study had the dimensions of H: L: W (where H = height, L = length, and W = width) with the ratios of 1:1:1 and 1:1:2. Experimental data from the wind tunnel obtained by a previous study was used to validate the numerical result of the hexahedron building. Five validation metrics are used to obtain an overall and quantitative evaluation of the performance of SST k-ω models: the fractional bias (FB), the geometric mean bias (MG), the normalized mean square errors (NMSE), the geometric variance (VG), and the factor of 2 of the observations (FAC2). The results of vertical concentration profile and longitudinal surface concentration of the 1:1:2 building illustrate the reasonable performance for all five metrics. However, the lateral concentration profile at X = 3H (where X is the distance from the source) shows poor performance for all of the metrics with the exception of NMSE, and the lateral concentration profile at X = 10H shows poor performance for FB and MG.

This paper presents the dimensionless wall distance, y+ effect on SST turbulent model for wind turbine blade. The National Renewable Energy Laboratory (NREL) Phase VI wind turbine was used for the study, which the wind tunnel and structural test data has publicly available. The near wall treatment and turbulent characteristics have important role for proper CFD simulation. Most of the CFD development in this area is focused on advanced turbulence model closures including second moment closure models, and so called Low-Reynolds (low-Re) number and two-layer turbulence models. However, in many cases CFD aerodynamic predictions based on these standard models still show a large degree of uncertainty, which can be attributed to the use of the  -equation as the turbulence scale equation and the associated limitations of the near wall treatment. The present paper demonstrates the y+ definition effect on SST (Shear Stress Transport) turbulent model with advanced automatic near wall treatment model and Gamma theta transitional model for transition from lamina to turbulent flow using commercial ANSYS-CFX. In all cases the SST model shows to be superior, as it gives more accurate predictions and is less sensitive to grid variations.

To investigate the effect of single windbreak and combination of hill and windbreak on pollutant dispersion in neutral boundary condition, CFD (Computational Fluid Dynamics) modeling was used. The validity of the CFD model was confirmed by wind tunnel and field experiments of single closed windbreak. The results show increased windbreak height increasing the height of maximum concentration position and decreasing surface concentration (x=50 m) from 1.5 to 5.0 times smaller than that of non-windbreak case. In combination of hill and windbreak case increasing hill height decreasing surface concentration from 1.0 to 1.1 times smaller than that of single windbreak case.

To fulfill the design requirement from the Algeria owner, Hull form development of a trawl fishing boat was performed. Model test at CWC in INHA Technical collage was carried out to investigate the resistance characteristics and CFD analysis using FLUENT was performed to examine flow patterns and pressure distribution around hull etc. The designed hull form satisfies speed-power requirement of 10.5 knots at installed power. This paper describes the design feature of trawl fishing boat and evaluates the model test results and CFD results. The design constraints for Algeria trawl fishing boat were explained and the speed of the ship was compared with sea trial results.

변화무쌍한 기상변화가 실험의 정확도에 미치는 영향을 최대한 줄일 수 있도록 강제환기식 온실에서 실험을 하였고, 또한 대체적으로 크지 않은 온실에서의 실험으로 인하여 CFD모델결과의 오차를 크게 줄일 수 있었다. CFD와 현장실험 결과를 비교하여 본 결과, 온실내 1m높이에서의 평균풍속이 각각 0.42m·s-1과 0.39m·s-1으로써 CFD의 지점별 오차 평균값은 7.7% 로 나타났다. Y8.5m 지점에서 가장 큰 오차가 발생하였는데, 최대 오차는 -53.8%로 나타났다. 이의 가장 큰 이유로는 온실 길이방향에서 중간지점인 Y8.5m에서 풍속이 매우 작았기 때문에 소숫점 2번째 자리의 차이라고 해도 큰 오차로 나타났다. 작물형상의 기하학적 복잡성이 매우 큰 것을 고려한다면 오차범위는 매우 양호한 것으로 판단된다. 온실내 1m높이에서 평균온도의 CFD 평균오차는 2.2%로 나타났고, 최대편차는 5.5%이었다. 온실내 바닥으로부터의 복사열 발생량의 차이로 인하여 온실내 동쪽 지역에 상대적으로 큰 오차가 발생하였다. 외기 상대습도가 44%일 때, CFD상대습도의 오차는 2.1%이었으며, 최대 오차는 -3.8%이었다. 식물군의 공기유동저항, 식물군의 수분 및 열평형 모델을 추가하여 보다 사실적인 CFD모델을 설계하였다. CFD 모델의 설계방법이 정립되었기 때문에, 추후에 온실내 다른 작물의 미기상 및 이의 온실내 기상에 미치는 영향 등을 정량적으로 분석할 수 있게 되었다. 또한 작물의 적정생육환경에 주요 대상이면서도 동시에 센서설치의 어려움 등으로 인하여 연구에 어려움이 많았던 작물군내 미기상을 연구할 수 있는 토대를 마련하였다.

본 연구에서는 포그냉방시스템을 수치적으로 시뮬레이션하기 위한 CFD 모델을 개발하였으며, 포그냉방온실에서 측정된 데이터에 의해 개발된 모델의 유효성을 검증하였다. 또한 분무수온, 분무수량, 분무정지시간과 분무입자의 증발률이 포그냉방시스템의 성능에 미치는 영향을 알아보기 위해 개발된 모델을 적용하였다. 시뮬레이션 결과에 의하면, 각 측점에서 실측치와 예측치의 온도차가 무차광조건에서는 0.1~1.4℃, 차광조건에서는 0.2~2.3℃였으며, 상대습도차는 무차광조건에서는 0.3~6.0%, 차광조건에서는 0.7~10.6%였다. 예측치가 실측치와 비교적 잘 일치하는 것으로 나타나 개발된 모델이 포그냉방시스템의 냉방효과를 예측할수 있는 것으로 판단된다. 포그냉방시스템 성능은 분무수량, 분무정지시간과 분무입자의 증발률의 영향을 많이 받지만 분무수온의 영향은 받지 않는 것으로 나타났다.