• 한국신재생에너지학회:학술대회논문집
• /
• 2010.06a
• /
• pp.108.1-108.1
• /
• 2010

분류층 가스화기는 석탄과 산소(공기) 및 수증기가 반응하여 $1200{\sim}1600^{\circ}C$의 고온, 20~60기압의 고압에서 작동되어 합성가스를 생성하며 합성가스에 포함된 입자 및 황화합물 등을 정제설비를 통하여 정제 후 발전 및 화학원료로 사용한다. 석탄가스화 중 석탄에 포함된 대부분의 회분은 용융슬래그 형태로 가스화기 벽면을 따라 흘러 내려 가스화기 하부의 냉각수조에서 급랭되어 배출된다. 이때 용융슬래그의 원활한 배출을 위해서는 일정범위의 점도를 유지하는 것이 필요하다. 슬래그의 점도는 가스화기 온도 및 Ash의 조성에 따라 크게 변하며 가스화기 설계 및 운전 시 매우 중요한 변수이다. 따라서 최적의 설계 및 운전을 위해서는 Ash의 점도예측이 중요하며, 분류층 가스화기내부에서 Ash 점도 예측을 위한 DooVisco 프로그램을 개발하였다. DooVisco는 가스화기 내부에서 슬래그 용융온도 및 온도별 점도, 가스화기 최소 운전온도 및 석회석 투입 효과 분석뿐만 아니라 석탄의 혼합 사용 시의 특성 예측도 가능하도록 개발되었다. DooVisco는 슬래그 주요 4성분인 SiO2, Al2O3, CaO, FeO 성분에 대한 Phase Diagram을 이용하여 1차적으로 슬래그용융온도(Liquidus Temperature)를 예측하고, 주요 4 성분 외에 Na2O, MgO, K2O, TiO2 등을 고려한 Kalmanovich Model을 이용하여 점도를 예측한다. 최종적으로 슬래그 용융온도와 점도를 활용하여 분류층 가스화기 운전가능 온도범위를 예측한다. 개발된 DooVisco를 활용하여 300MW급 실증 IGCC 플랜트에 사용가능성이 있는 석탄을 대상으로 슬래그의 용융온도 및 점도 등을 예측하였으며 최적 운전을 위한 슬form점도 조절용 Flux인 석회석 투입량 등을 평가하였다. 평가 결과 슬래그 용융온도가 $1700^{\circ}C$ 이상으로 석회석 투입이 필요하다고 판단되었다. 약 가스화기 내부 온도를 $1500^{\circ}C$ 정도에서 원활한 운전을 위해서는 석탄 대비 약 10% 내외의 석회석 투입이 필요할 것으로 평가되었다. DooVisco는 분류층 가스화기 설 계시 가스화기 최적 운전 온도 설정 및 Flux 투입필요성, 종류, 투입량 선정에 활용될 수 있을 뿐만 아니라 플랜트 운전시 석탄의 탄종 적합성 등을 판단하는데 활용될 수 있을 것이라 판단된다.

• Journal of Environmental Science International
• /
• v.16 no.9
• /
• pp.1051-1061
• /
• 2007

The impact of midlatitude synoptic system (upper-level trough) on typhoon intensity change was investigated by analyzing the spatial and temporal characteristics of vertical wind shear (VWS), relative eddy momentum flux convergence (REFC), and potential vorticity (PV). These variables were computed over the radial mean $300{\sim}1,000km$ from the typhoon center by using GDAPS (Global Data Assimilation and Prediction System) data provided by the Korea Meteorological Administration (KMA). The selected cases in this study are typhoons Rusa (0215) and Maemi (0314), causing much damage in life and property in Korea. Results show that the threshold value of VWS indicating typhoon intensity change (typhoon to severe tropical storm) is approximately 15 m/s and of REFC ranges 6 to 6.5 $ms^{-1}day^{-1}$ in both cases, respectively. During the period with the intensity of typhoon class, PVs with 3 to 3.5 PVU are present in 360K surface-PV field in the cases. In addition, there is a time-lag of 24 hours between central pressure of typhoon and minimum value of VWS, meaning that the midlatitude upper-level trough interacts with the edge of typhoon with a horizontal distance less than 2,000 km between trough and typhoon. That is, strong midlatitude upper-level divergence above the edge of the typhoon provides a good condition for strengthening the vertical circulation associated with the typhoons. In particular, when the distance between typhoon and midlatitude upper-level trough is less than 1,000 km, the typhoons tend to weaken to STS (Severe Tropical Storm). It might be mentioned that midlatitude synoptic system affects the intensity change of typhoons Rusa (0215) and Maemi (0314) while they moves northward. Thus, these variables are useful for diagnosing the intensity change of typhoon approaching to the Korean peninsula.

• Fire Science and Engineering
• /
• v.26 no.5
• /
• pp.13-20
• /
• 2012

Many fire-fighters suffer from the burn injuries, and the severe burns are the most catastrophic injury a person can survive, resulting in pain, emotional stress, and tremendous economic costs. It is important to understand the physiology of burns for prevention from skin burns and a successful treatment of a burn patient. But a few researches have been presented because the complex physical phenomena of our inside body like non-linearity characteristics of human skin make them difficult. Thus in this study, thermal analyses of biological tissues exposed to a flash fire causing severe tissue damage were studied by using a finite difference method based on the Pennes bio-heat equation. The several previous models for skin thermo-physical properties were summarized, and the calculated values with those models of tissue injury were compared with the results obtained by the previous experiment for low heat flux conditions. The skin models with good agreement could be found. Also, the skin burn injury prediction results with the best model for high heat flux conditions by flash flame were suggested.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.39 no.6
• /
• pp.519-526
• /
• 2015

To measure the physical parameters of the simple microlayer model for the prediction of the heat flux and heat transfer rate due to the evaporation of the microlayer during nucleate boiling, the microlayer geometry was experimentally examined. The parameters, including initial thickness, moving velocity and microlayer radius, were measured by total reflection and interferometry techniques using a laser. Single-bubble nucleate boiling experiments were conducted using saturated water on a horizontal surface under atmospheric pressure. The geometric characteristics of the microlayer underneath the bubbles periodically nucleating at a nucleation site at an average heat flux of $200kW/m^2$ were analyzed. The experimental results in the present study show that the maximum initial thickness of the microlayer and the horizontal moving velocity are $5.4{\mu}m$ and 0.12 m/s, respectively.

• Journal of Microbiology and Biotechnology
• /
• v.16 no.6
• /
• pp.993-998
• /
• 2006

We earlier suggested a hierarchical regulatory network using defined modeling symbols and weights in order to improve the flux balance analysis (FBA) with regulatory events that were represented by if-then rules and Boolean logic. In the present study, the simulation results of the models, which were developed and improved from the previou model by incorporating a hierarchical regulatory network into the FBA, were compared with the experimental outcome of an aerobic batch growth of E. coli on glucose and tryptophan. From the experimental result, a diauxic growth curve was observed, reflecting growth resumption, when tryptophan was used as an alternativee after the supply of glucose was exhausted. The model parameters, the initial concentration of substrates (0.92 mM glucose and 1 mM tryptophan), cell density (0.0086 g biomass/1), the maximal uptake rates of substrates (5.4 mmol glucose/g DCW h and 1.32 mmol tryptophan/g DCW h), and lag time (0.32 h) were derived from the experimental data for more accurate prediction. The simulation results agreed with the experimental outcome of the temporal profiles of cell density and glucose, and tryptophan concentrations.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.47 no.11
• /
• pp.768-778
• /
• 2019

The ability to calculate aerodynamic heating and surface temperature is essential to ensure proper design of aircraft components in high speed flight. In this study, various empirical formulas for efficiently calculating aerodynamic heating of aircraft were first analyzed. A simple computational code based on empirical formulas was developed and then compared with commercial codes; ANSYS FLUENT based on the Navier-Stokes-Fourier equation, and ThermoAnalytics MUSES based on an empirical formula. The code was found to agree well with the results of FLUENT in the wall and stagnation point temperatures. It also showed excellent agreement with MUSES, within 1% and 5% in temperature and heat flux, respectively.

• Journal of Energy Engineering
• /
• v.24 no.2
• /
• pp.1-8
• /
• 2015

Wax deposition hinders oil flow assurance. Huge amount of money and time were required for mitigation of wax deposition in the oil field. For prediction and mitigation of wax deposition problem, Wax Appearance Temperature(WAT), which is the temperature at which the first wax crystals start to form, needs to be measured in advance. There is a standard method which is optical way to measure the WAT of transparent oil. However, standard method cannot be applied to opaque oil which is common produced oil in the field. In this study, WAT of three transparent oil samples were measured using heat flux variation analysis, viscosity variation analysis and density variation analysis, and compared with WAT measured by standard method. As a result, WAT measured by density variation analysis is the more reliable than heat flux variation analysis and viscosity variation analysis. WAT of two opaque oils were measured using density variation analysis.

• Transactions of the Korean Society of Mechanical Engineers
• /
• v.10 no.5
• /
• pp.713-723
• /
• 1986

The purpose of this research was to study the heat transfer characteristics of heat pipe which used non-metallic(SiO$_{2}$), circumferential wick and meshed slab wick as ADI method and experimental results. Compared wick experimental data and results by ADI method showed the good agreement and ADI method was utilized in pridicting the performance of heat pipe. Also, ADI method was applied to predict heat pipe performance according to the various volume ratios of metallic bond. The heat transfer characteristics of heat pipe could be predicted by heat flux and superheat term below the maximum heat flux limit. According to the addition ratio of metallic bond, heat transfer ratio could be improved as 2-3 times and when heat conductivity ratio(K$_{b}$/K$_{a}$) was increased at 4-12 ratio, heat transfer was in creased as 1.7-2.4 times, and the prediction of heat transfer could be show as exponential type. In producting non-metallic wick used to low heat pipe, metallic bond which is the conductivity of good quality and enduring for high temperature will be improved as in important problem.

• Membrane and Water Treatment
• /
• v.9 no.2
• /
• pp.115-121
• /
• 2018

Artificial neural network (ANN) simulation is used to predict the dynamic change of permeate flux during wheat starch industry wastewater microfiltration with and without static turbulence promoter. The experimental program spans range of a sedimentation times from 2 to 4 h, for feed flow rates 50 to 150 L/h, at transmembrane pressures covering the range of $1{\times}10^5$ to $3{\times}10^5Pa$. ANN predictions of the wastewater microfiltration are compared with experimental results obtained using two different set of microfiltration experiments, with and without static turbulence promoter. The effects of the training algorithm, neural network architectures on the ANN performance are discussed. For the most of the cases considered, the ANN proved to be an adequate interpolation tool, where an excellent prediction was obtained using automated Bayesian regularization as training algorithm. The optimal ANN architecture was determined as 4-10-1 with hyperbolic tangent sigmoid transfer function transfer function for hidden and output layers. The error distributions of data revealed that experimental results are in very good agreement with computed ones with only 2% data points had absolute relative error greater than 20% for the microfiltration without static turbulence promoter whereas for the microfiltration with static turbulence promoter it was 1%. The contribution of filtration time variable to flux values provided by ANNs was determined in an important level at the range of 52-66% due to increased membrane fouling by the time. In the case of microfiltration with static turbulence promoter, relative importance of transmembrane pressure and feed flow rate increased for about 30%.

• Nuclear Engineering and Technology
• /
• v.26 no.3
• /
• pp.440-452
• /
• 1994

Nuclear fuel bundles are designed such that the heat flux at a-fuel pin surface should not exceed the critical heat flux (CHF) during normal operation and anticipated transient. Therefore, evaluation of the CHF for fuel bundle is demanded in an exact and reliable manner. One of the major concerns with the current application of CHF correlations is that the CHF based on circular tubes is applied to the fuel bundle subchannel analysis, mainly in terms of the hydraulic diameter with correction factors which may result in a source of possibly large uncertainties in CHF prediction. The hydraulic diameter does not recognize the local properties of fluid nor such effect as the surface curvature; the turbulence action on the convex surface is much more pronounced than that on the concave surface. Even for the tube having concave curvature, the effect of tube diameter on CHF becomes important with decreasing diameter. These facts imply that the convex curvature effect is significant and crucial to the reliable CHF prediction. This paper reviews and discusses analytical and experimental aspects of effect of transverse convex curvature in incompressible turbulent flow and heat transfer, and on CHF. Flow models to quantify this effect are briefly mentioned and future works are recommended.