• Journal of the Korean Institute of Gas
• /
• v.5 no.2 s.14
• /
• pp.36-42
• /
• 2001

A leak of fuel gas in partially confined area creates a flammable atmosphere and give rise to an explosion, which is one of the most common accident in domestic. Observations from accident in domestic suggest that some explosions are caused by a quantify of fuel significantly less than lower explosion limit(LEL) amount required to fill the room, which is attributed to inhomogeneous mixing of leaked gas. The minimum amount of leaked gas for explosion is highly dependent on the mixing degree in the area. For lighter gas, such as methane, a high concentration tends to build up in the space from ceiling of room. But heavy gas, such as propane, a high concentration tends to build up in the space from bottom of room. This paper presents a method for analysing the explosion hazard in a room with very small amount of leaked gas. Based on explosion limit concentration, the gaussian distribution model is used to estimate the minimum amount of leak which yields a specified explosion pressure. The results demonstrate that catastrophic structural damage can be achieved with a volume of fuel gas which is less than 0.5 percent of the total enclosed volume in domestic. The method will help analyzing hazard to develop new safe device as well as investigating accident.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
• /
• 2001.11a
• /
• pp.57-62
• /
• 2001

본 연구에서는 검증된 BSU 3톤/일급 석탄가스화공정에 대해 개발된 동적모델을 폐유가스화 공정모텔에 적용하였다. 대상공정에 포함된 조작변수들의 변동에 따른 주요 공정변수인 산소/폐유비를 3% 계단증가시킨 결과, 폐유가스화기의 압력은 15분의 시상수를 보이며 최종적으로 2.4%가 증가된 정상상태에 도달하였고, 온도는 초기 1분 이내에 약 3.2%의 급격한 증가를 보인 후 최종적으로 4.1% 증가된 정상상태에 도달하였다. 그리고 생성가스의 조성은 이산화탄소가 6% 증가되었고, 일산화탄소와 수소는 각각 2% 및 8% 감소된 새로운 정상상태에 도달하였다. 이러한 결과를 토대로 폐유가스화기의 부하변동에 따른 주요 공정변수들의 변동경향 및 신뢰성 있는 동적모사 결과를 얻고, 개발된 모델에 cascade 및 ratio 방식의온도, 압력 제어로직을 설계하여 실공정 적용실험을 통한 전산모사결과 및 안정된 운전특성을 검증할 수 있는 기초를 마련하였다.

• Proceedings of the Korea Contents Association Conference
• /
• 2012.05a
• /
• pp.107-108
• /
• 2012

본 논문은 건설산업의 신뢰성 있는 온실가스 추정을 위해 건설단계에서 사용되는 장비, 자재 및 에너지 사용량에 따른 온실가스 배출량 추정방법론을 고찰하였다. 그리고 온실가스 배출량 추정모델인 Road Construction Emission Model과 시설물탄소배출량 산정 프로그램을 비교분석하였다. 건설장비만을 고려한 배출량 추정은 사용장비의 각종 특성에 따라 차이가 발생할 수 있고, 자재 및 에너지사용에 따른 배출량 추정은 장비의 사용이 대부분을 차지하는 토목공사에서 배제한 단점이 있다. 따라서, 건설산업의 온실가스배출량 측정은 장비의 사용 또는 자재 및 에너지사용에 따른 포괄적인 온실가스 배출량 추정과 이를 위한 기반확충이 이루어져야 한다.

• Korean Chemical Engineering Research
• /
• v.51 no.4
• /
• pp.493-499
• /
• 2013

For the purpose of utilizing fly ash from gasification of low rank coal, we performed the series of experiments such as pyrolysis and char-$CO_2$ gasification on fly ash by using the thermogravimetric analyzer (TGA) at non-isothermal heating conditions (10, 20 and $30^{\circ}C/min$). Pyrolysis rate has been analyzed by Kissinger method as a first order, the reliability of the model was lower because of the low content of volatile matter contained in the fly ash. The experimental results for the fly ash char-$CO_2$ gasification were analyzed by the shrinking core model, homogeneous model and random pore model and then were compared with them for the coal char-$CO_2$ gasification. The fly ash char (LG coal) with low-carbon has been successfully simulated by the homogeneous model as an activation energy of 200.8 kJ/mol. In particular, the fly ash char of KPU coal with high-carbon has been successfully described by the random pore model with the activation energy of 198.3 kJ/mol and was similar to the behavior for the $CO_2$ gasification of the coal char. As a result, the activation energy for the $CO_2$ gasification of two fly ash chars don't show a large difference, but we can confirm that the models for their $CO_2$ gasification depend on the amount of fixed carbon.

• Journal of the Korean Institute of Gas
• /
• v.5 no.2 s.14
• /
• pp.43-51
• /
• 2001

ln this study, a natural gas pipeline network model was established using STONER. First a map of natural gas pipeline network was drawn on STONER and then the length and diameter of the pipe were inputted. And as the specific gravity of gas flowing in the pipeline which is the value of natural gas was inputted. Finally in order to decide the pipeline variables and gas temperature, through the verification with observed real data, the possible error was minimized. For the verification, the pipeline variables and gas temperature were assumed and the pipeline network analysis was accomplished with real demand data. The square deviation of analysed pressure from observed pressure was calculated and the minimum case was selected for the optimum pipeline variables and gas temperature. Thus a proper natural gas pipeline network model for real network was established.

• Journal of Energy Engineering
• /
• v.6 no.2
• /
• pp.203-211
• /
• 1997

This study is on the separation of Global warming effect gas, CO$_2$by chemical absorption from mixture of CO$_2$-N$_2$which was modeled after flue gas of fire power plant. Investigation of optimum condition for absorbent was carried out by using sparged vessel apparatus. Through packed tower experiments, applicabilities of two absorption models were tested by comparing experimental results with theoretical values. Absorbent used in the experiments was Monoethanolamine (MEA) and gas mixture was made in the mole composition of 15% CO$_2$and 85% N$_2$. Through estimations of CO$_2$loading and CO$_2$removal efficiency, optimum concentration of absorbent was found in the range of 4-5 M. To find a rate of absorption, an enhancement factor was introduced. Values of rate of absorption were calculated by Film model and Higbie model, respectively. Higbie model showed good agreement with experimental results. Therefore, this models is considered to be applicable to the CO$_2$separation process for flue gas from fire power plant.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.31 no.6
• /
• pp.88-95
• /
• 2003

The weighted sum of gray gas model(WSGGM) is applied to arbitrary mixtures of CO$_2$ and H$_2$0 gases. To evaluate this model, the spectral and total intensities are obtained for two different problem types. One has uniform, parabolic and boundary layer type temperature profiles with uniform partial pressure, and the other has nonuniform partial pressure and temperature profile. The results obtained from the two different problem types show fairly good agreements with the results obtained by the statistical narrow band model(SNB model) which is regarded as the reference solutions. The WSGGM and its data base provided by this study can be used for analysis of radiative transfer by combustion gases with different thermal loadings and chemical compositions.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
• /
• 1998.10a
• /
• pp.90-95
• /
• 1998

본 연구에서는 현재 운용되고 있는 bench급 석탄가스화공정 전체에 대하여 개발된 동적모델을 사용하여, 대상공정에 포함된 조작변수들의 변동에 따른 주요 공정변수들의 동특성 해석 및 대상공정의 제어로직 설계에 활용된 결과를 설명하였다. 가스화기의 부하변동에 따른 주요 공정변수들의 변동경향 및 시상수에 대한 신뢰성 있는 모사결과를 얻을 수 있었으며, 개발된 모델을 사용하여 cascade 및 ratio 방식의 온도제어로직을 설계하였고, 실공정 적용실험을 통하여 모사결과 및 안정된 운전특성을 검증할 수 있었다.

• Journal of the Korean Institute of Gas
• /
• v.23 no.5
• /
• pp.52-58
• /
• 2019

In this study, we have developed a forecasting model for city- gas acceptance. City-gas corporations have to report about city-gas sale volume next year to KOGAS. So it is a important thing to them. Factors influenced city-gas have differences corresponding to usage classification, however, in city-gas acceptence, it is hard to classificate. So we have considered tha outside temperature as factor that influence regardless of usage classification and the model development was carried out. ARIMA, one of the traditional time series analysis, and LSTM, a deep running technique, were used to construct forecasting models, and various Ensemble techniques were used to minimize the disadvantages of these two methods.Experiments and validation were conducted using data from JB Corp. from 2008 to 2018 for 11 years.The average of the error rate of the daily forecast was 0.48% for Ensemble LSTM, the average of the error rate of the monthly forecast was 2.46% for Ensemble LSTM, And the absolute value of the error rate is 5.24% for Ensemble LSTM.

• Journal of the KSME
• /
• v.55 no.3
• /
• pp.38-41
• /
• 2015

이 글에서는 무세포 경계층(red blood cell free layer)의 생리학적 중요성 및 미세순환(microcirculation)에서 이루어지는 가스교환 예측을 위한 수치해석모델(numerical simulation) 개발을 소개하고자 한다.