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      • SCOPUSKCI등재

        니켈촉매 상에서 천연가스와 메탄의 수증기 개질 반응에 관한 Kinetics 연구

        성민준 ( Min Jun Seong ),이영철 ( Young Chul Lee ),박영권 ( Young Kwon Park ),전종기 ( Jong Ki Jeon ) 한국공업화학회 2013 공업화학 Vol.24 No.4

        Kinetics data were obtained for steam reforming of methane and natural gas over the commercial nickel catalyst. Variables for the steam reforming were the reaction temperature and partial pressure of reactants. Parameters for the Power law rate model and the Langmuir-Hinshelwood model were obtained from the kinetic data. As a result of the reforming reaction using pure methane as a reactant, the reaction rate could be determined by the Power law rate model as well as the Langmuir-Hinshelwood model. In the case of methane in natural gas, however, the Langmuir-Hinshelwood model is much more suitable than the Power law rate model in terms of explaining methane reforming reaction. This behavior can be attributed to the competitive adsorption of methane, ethane, propane and butane in natural gas over the same catalyst sites.

      • KCI등재

        루테늄 촉매를 이용한 에탄의 수증기 개질 반응 Kinetics와 반응기 Sizing

        신미 ( Mi Shin ),성민준 ( Min Jun Seong ),장지수 ( Ji Su Jang ),이경은 ( Kyung Eun Lee ),조정호 ( Jung Ho Cho ),이영철 ( Young Chul Lee ),박영권 ( Young Kwon Park ),전종기 ( Jong Ki Jeon ) 한국공업화학회 2012 공업화학 Vol.23 No.2

        상업용 루테늄 촉매 상에서 에탄의 수증기 개질 반응에 대한 kinetics 데이터를 얻기 위하여 반응온도, 에탄의 분압, 수증기/에탄의 비 등을 변화시키면서 반응 실험을 수행하였다. Kinetics 데이터를 사용하여 Power rate law kinetic model과 Langmuir-Hinshelwood model의 parameter를 구하였다. 또한 kinetic model식을 적용하여 PRO/II를 이용한 공정 모사를 통해서 에탄의 수증기 개질 반응기 sizing을 수행하였다. 동일한 전환율을 얻기 위해서는 Power rate law model을 적용하였을 경우가 Langmuir-Hinshelwood model을 적용하였을 경우보다 개질 반응기의 부피가 더 큼을 알 수 있었다. Langmuir-Hinshelwood model에 의해 계산된 반응 속도가 반응 실험 결과에 의해 구해진 반응 속도와 더 잘 일치했기 때문에 Langmuir-Hinshelwood model을 적용하여 계산된 반응기의 크기가 실제 반응기 설계에 더 적절하다고 판단된다. In this study, kinetics data was obtained for steam reforming reaction of ethane over the commercial ruthenium catalyst. The variables of ethane steam reforming were the reaction temperature, partial pressure of ethane, and steam/ethane mole ratio. Parameters for the power rate law kinetic model and the Langmuir-Hinshelwood model were obtained from the kinetic data. Also, sizing of steam reforming reactor was performed by using PRO/II simulator. The reactor size calculated by the power rate law kinetic model was bigger than that of using the Langmuir-Hinshelwood model for the same conversion of ethane. Reactor size calculated by the Langmuir-Hinshelwood model seems to be more suitable for the reactor design because the Langmuir-Hinshelwood model was more consistent with the experimental results.

      • KCI등재

        환경영향평가 고도화를 위한 평가항목별 민원기반 데이터 수요 도출 연구

        최유영 ( Choi Yu-young ),조효진 ( Cho Hyo-jin ),황진후 ( Hwang Jin-hoo ),김윤지 ( Kim Yoon-ji ),임노을 ( Lim No-ol ),이지연 ( Lee Ji-yeon ),이준희 ( Lee Jun-hee ),성민준 ( Sung Min-jun ),전성우 ( Jeon Seong-woo ),성현찬 ( Sung Hyu 한국환경복원기술학회 2021 한국환경복원기술학회지 Vol.24 No.6

        Although the Environmental Impact Assessment (EIA) is continuously being advanced, the number of environmental disputes regarding it is still on the rise. In order to supplement this, it is necessary to analyze the accumulated complaint cases. In this study, through the analysis of complaint cases, it is possible to identify matters that need to be improved in the existing EIA stages as well as various damages and conflicts that were not previously considered or predicted. In the process, we dervied ‘complaint-based data demands’ that should be additionally examined to improve the EIA. To this end, a total of 348 news articles were collected by searching with combinations of ‘environmental impact assessment’ and a keyword for each of the six assessment groups. As a result of analysis of collected data, a total of 54 complaint-based data demands were suggested. Among those were 15 items including ‘impact of changes in seawater flow on water quality’ in the category of water environment; 13 items including ‘area of green buffer zone’ in atmospheric environment; 10 items including ‘impact of soundproof wall on wind corridor’ in living environment; 8 items including ‘expected number of users’ in socioeconomic environment, 4 items including ‘feasibility assessment of development site in terms of environmental and ecological aspects’ in natural ecological environment; and 4 items including ‘prediction of sediment runoff and damaged areas according to the increase in intensity and frequency of torrential rain’ in land environment. In future research, more systematic complaint collection and analysis as well as specific provision methods regarding stages, subjects, and forms of use should be sought to apply the derived data demands in the actual EIA process. It is expected that this study can serve to advance the prediction and assessment of EIA in the future and to minimize environmental impact as well as social conflict in advance.

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