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RISS 인기검색어
- 검색키워드
- 저자 : Zelin Wu (검색결과 5 건)
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Dynamic simulation of reaction modeling and slag behavior in an entrained gasifier
Zelin Wu(오택림),Rygang-Gyoon Kim(김량균),Chung-Hwan Jeon(전충환) 한국연소학회 2013 KOSCOSYMPOSIUM논문집 Vol.2013 No.12
In order to better understand the information of an entrained flow type gasifier, a mathematical model is developed to simulate the Shell entrainment pilot coal gasifier. According to the structure of the gasifier, establish submodels to simulate the complicated performance of gasifier. The model is employed to set up the mass conservation equation of gas components, solid flow, and gas flow and total energy conservation equation. Moreover, the model is obviously closer to reality. Because the syngas composition predicted by the model is under the condition of limited residence time. There are a number of water tubes around the shell gasifier wall. With the heat transfer coefficient of each wall level to calculate the heat loss and the temperature of every level and the model reflects the influence of shell gasifier water wall performance factors. Slag mass flow rate on the wall is calculated by the slag submodel. From the results concluded that temperature and viscosity are the main parameters affecting the slag mass flow rate.
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Zelin Gu,Yanfeng Wu,Yu Wang,Haiyue Sun,Ying You,Chunhong Piao,Junmei Liu,Yuhua Wang 한국식품영양과학회 2020 Journal of medicinal food Vol.23 No.2
As the functions of Lactobacilli become better understood, there are increasing numbers of applications for Lactobacillus products. Previously, we have demonstrated that Lactobacillus rhamnosus GG (LGG) can prevent alcoholic liver injury. LGG granules were produced by fluid bed granulation with a media composed of starch, skimmed milk powder, whey powder, microcrystalline cellulose and maltose, and LGG fermented liquid that comprised 30–50% of the total weight. We found LGG granules dose-dependently protected against chronic alcoholic liver disease. When alcohol was consumed for 8 weeks with LGG treatment during the last 2 weeks, we demonstrated that the dose dependence of LGG granules can improve alcohol-induced liver injury through decreasing the levels of lipopolysaccharide and tumor necrosis factor-α in serum and prevent liver steatosis by suppressing triglyceride, free fatty acid, and malondialdehyde production in liver. Alcohol feeding caused a decline in the number of both Lactobacillus and Bifidobacterium, with a proportional increase in the number of Clostridium perfringens in ileum, and expansion of the Gram-negative bacteria Proteobacteria, Campylobacterales, and Helicobacter in cecum. However, LGG granule treatment restored the content of these microorganisms. In conclusion, LGG granule supplementation can improve the intestinal microbiota, reduce the number of gram-negative bacteria, and ameliorate alcoholic liver injury.
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Sb-doped SnS2 nanosheets enhance electrochemical reduction of carbon dioxide to formate
Luntong Yan,Zelin Wu,Congming Li,Junying Wang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.123 No.-
Electrocatalytic carbon dioxide (CO2) is a forward-looking strategy to convert renewable energy into fuel. Herein, we show that the novel Sb-doped SnS2 nanosheets were synthesized by a simple hydrothermalmethod for efficient electroreduction of CO2, and the atomic ratio of Sb/Sn was controllable. The introductionof Sb significantly enhanced the current density and Faradaic efficiency for formate products comparedto pristine SnS2 nanosheets. When the Sb content was 1%, the Sb-SnS2 nanosheets achieved aremarkable Faradaic efficiency of 90.86% for formate products at 1.1 V vs. RHE. The experimental resultsshowed that 1% Sb-doped SnS2 nanosheets changed the electronic structure of the Sn element, allowingthe catalyst to reconfigure to generate Sn0 during the electrochemical reaction, while the singlet tin had asynergistic effect with Sn4+, making it easier to transport electrons on the surface and promoting the activationprocess of CO2, which is a key factor to improve the electroreduction performance of CO2.
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통기도 실험에 의한 점결탄 혼탄시 연화용융 및 팽창 특성 분석
황찬원(ChanWon Hwang),오택림(ZeLin Wu),류광일(KwangIl Ryu),김량균(RyangGyoon Kim),전충환(ChungHwan Jeon) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12
The experiment was designed to study the coking coal swelling characteristics as a function of particle size distribution and density under thermal shock. During the cokes making process, coking coal pass through the fluidity zone at specific temperature. Cokes characteristics can be caused by physicochemical properties at fluidity zone. Three kinds of coking coal was used for experiment and each coal has different swelling characteristics. Softening and swelling characteristics was analyzed through the permeability test. Permeability test was performed by measuring the differential pressure of nitrogen. Finally, It compared blending effect by the swelling characteristics. Three kinds of coking coal was blended A with D and D with G in specific ratio. Coal D is standard of comparison. As a result, D:A blended coking coal has generally low permeability characteristics (1.0~1.2bar). Because It strongly combined with each particle after mesophase zone. This characteristic derives from FSI and volatile matter contents. And D:G blended coking coal test results seem to decrease with coal Gcontents. It means, coal G has not sufficient swelling characteristics.
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Chung Hwan Jeon,Cheol-Oong Kim,김량균,Zelin Wu 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.6
A mathematical model is developed to simulate a pilot Shell entrained-flow coal gasifier. Submodels of specific structures of the gasifier are established to simulate the complicated gasification process. The model includes the total energy conservation equation and mass conservation equations for the gas components, solid flow, and gas flow. It simulates the influence of the gasifier structure and dimensions and can calculate the effects of changing almost every important operation parameter, e.g., the syngas composition, gasification temperature, carbon conversion ratio, walllayer temperature, and slag mass flow rate. The model can predict the syngas composition under a limited residence time condition. Furthermore, it considers the heat transfer coefficient of each layer of the water wall to calculate its heat loss and temperature. Thus, the model also reflects the influence of performance parameters of the gasifier’s water wall. The slag mass flow rate on the wall is calculated using a slag submodel.
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