• Title/Summary/Keyword: Coke

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Steam Reforming of Toluene Over Ni/Coal Ash Catalysts: Effect of Coal Ash Composition

  • Jang, Jinyoung;Oh, Gunung;Ra, Ho Won;Yoon, Sung Min;Mun, Tae Young;Seo, Myung Won;Moon, Jihong;Lee, Jae-Goo;Yoon, Sang Jun
    • Korean Chemical Engineering Research
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    • v.59 no.2
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    • pp.232-238
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    • 2021
  • The development of a low cost catalyst with high performance and small amount of carbon deposition on catalyst from toluene steam reforming were investigated by using coal ash as a support material. Ni-loaded coal ash catalyst showed similar catalytic activity for toluene steam reforming compared with the Ni/Al2O3. At 800 ℃, the toluene conversion was 77% for Ni/TAL, 68% for Ni/KPU and 78% for Ni/Al2O3. Ni/TAL showed similar toluene conversion to Ni/Al2O3. However, Ni/KPU produced higher hydrogen yield at relatively lower toluene conversion. Ni/KPU catalyst showed a remarkable ability of suppressing the carbon deposition. The difference in coke deposition and hydrogen yield is due to the composition of KPU ash (Ca and Fe) which increase coke resistance and water gas shift reaction. This study suggests that coal ash catalysts have great potential for the application in the steam reforming of biomass tar.

Synergistic Increase of Oxidative Stress and Tumor Markers in PAH-Exposed Workers

  • Gao, Mei-Li;Chen, Lei;Li, Yong-Fei;Xue, Xiao-Chang;Chen, Lan;Wang, Li-Na;Shah, Walayat;Kong, Yu
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.17
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    • pp.7105-7112
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    • 2014
  • In this study, we investigated oxidative stress and tumor marker levels of polycyclic aromatic hydrocarbons (PAHs) in 136 coke oven workers and in 60 control subjects, and evaluated the correlation between oxidative stress and tumor marker levels. Questionnaires on basic demographic information were also administered. Significant differences in employment time and percentages of alcohol drinkers were observed between the control and exposed groups. PAH exposure was assessed using urinary 1-hydroxy-pyrene (1-OHP) levels and was found to be significantly higher in workers than in the controls. Significant differences (P<0.001) of MDA, GST, LDH, NSE, Cyfra21-1, and of SCC and TNF-a (P<0.0001 and P<0.05, P<0.001, respectively) levels were observed among controls and coke-oven workers, except for bottom coke oven workers. Associations between age and risk of increased TNF-a, smoking and increased GST activities, and drinking with increased MDA concentrations, were marginal (P=0.055, P=0.048, P=0.057, respectively). The association between smoking with MDA (P=0.004), NSE (P=0.005), SCC (P=0.004) andTNF-a (P<0.001), and drinking with TNF-a levels was significant (P=0.012). In addition, a significant positive correlation between oxidative stress and tumor markers was found in the present study. These results suggest that a synergistic increase of oxidative stress and tumor markers induced by PAHs may play a role in toxic responses for PAHs in coke oven workers.

Effect of $SO_2$ on DeNOx by Ammonia in Simultaneous Removal of SOx and NOx over Activated Coke (활성 코우크스상의 동시 탈황탈질에서 암모니아에 의한 탈질에 이산화황이 미치는 영향)

  • Kim, Hark-Joon;Yoon, Cho-Hee
    • Journal of Korean Society of Environmental Engineers
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    • v.32 no.2
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    • pp.201-208
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    • 2010
  • The $SO_2$ and $NO_x$ removal with an activated coke catalyst was conducted by a two-stage reaction which first $SO_2$ was oxidized to $H_2SO_4$ and then $NO_x$ was reduced to $N_2$. But if unreacted sulfur dioxide entered in the second stage, the $NO_x$ reduction was hindered by the reaction with ammonia. In this study, experimental investigations by using lab-scale column apparatus on the product and the reactivity of $SO_2$ with ammonia over coke catalyst which was activated with sulfuric acid was carried out through ultimate analysis DTA, TGA and SEM of catalyst before and after the reaction. Also, the effect of reaction emperature on the reactivity of $SO_2$ with ammonia was determined by means of breakthrough curves with time. The obtained results from this study were summarized as following; Activated cokes were decreased carbon component and increased oxygen and sulfur components in comparison with original cokes. The products over coke catalyst were faced fine crystal of $(NH_4)_2SO_4$, which results in the pressure loss of reacting system. The order of general reactivity in terms of the reaction temperature after breakthrough for $SO_2$ was found to be $150^{\circ}C$ > $200^{\circ}C$ > $100^{\circ}C$. This was related to adsorption amounts of ammonia on the activated cokes.

Environmental Conditions in the Reheating Furnace for High Quality Advanced High Strength Steels for Automobiles

  • Sohn, Il-Ryoung;Chin, Kwang-Geun
    • Corrosion Science and Technology
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    • v.6 no.4
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    • pp.193-197
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    • 2007
  • It is well known that the development of Advanced High Strength Steels (AHSS) is very important for the automotive industry in order to improve fuel efficiency and the reduction of material costs. However, it is particularly difficult to improve the surface quality of AHSS because the high amount of Si, Al, Mn and Ti etc. in AHSS promote selective oxidation, resulting in surface defects. The reheating process in the hot strip mill would cause severe oxidation because it is carried out at elevated temperatures under aggressive environments. In this study a reheating furnace simulator was developed to investigate oxidation phenomena in the reheating process. The environmental gas for the reheating furnace was made by burning coke oven gas with air in the simulator. The air/fuel ratio is precisely controlled by MFC. Ti oxides are easily formed on grain boundaries and Mn and Si oxides are usually formed in inner grains near the steel surface with a small round shape.

A Study on Operation Condition of Blast Furnace According to Burden Distribution (장입물 층상구조에 따른 고로내 운전상황 변화 연구)

  • Yang, Kwang-Heok;Choi, Sang-Min;Jung, Jin-Kyung
    • 한국연소학회:학술대회논문집
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    • 2006.10a
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    • pp.145-150
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    • 2006
  • At the furnace top, the distribution of charging coke and ore is adjusted to control the reducing gas flow distribution in the furnace. It is necessary to predict operation condition of blast furnace according to the burden profile to judge whether charging is properly conducted In this study, We propose the model for predicting while layer structures whithin furnace when top burden profile was given. Layer structure of coke and ore could be predicted by top burden profile and solid velocity. Solid velocity is assumed as potential flow. Potential function distribution and timeline are also calculated using solid velocity field. The Calculation is conducted for different burden profile cases. As the result burden distribution and grid structure, which is deformed to match the layer structure in shaft and deadman profile. Gas flow was calculated using this grid, and calculated results are compared with each other.

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Pallet speed control in a sintering plant using neural networks (신경회로망을 이용한 소결기 팰릿 속도 제어)

  • Jang, Min;Cho, Sung-Jun
    • Proceedings of the Korea Database Society Conference
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    • 1999.06a
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    • pp.261-270
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    • 1999
  • Sintering transforms powdered ore into lumped ore so that the latter can be used in a blast furnace. The powdered ore combined with coke and other materials is loaded into a container and moved along by a pallet while the ignited coke bums. The speed by which the pallet moves determines how much sintering takes place. Since the process is complicated and lacks an accurate mathematical model, human operators manually control the speed by monitoring various factors in the plant. In this paper, we propose a neural network-based pallet speed controller which copies human operator knowledge. Actual process data were collected from a sintering plant fer eight months and preprocessed to remove noisy and inconsistent data. A multilayer perceptron was trained using a back-propagation learning algorithm. In on-line testing at the sinter plant, the proposed model reliably controlled pallet speed during normal operation without the help of human operators. Moreover, the duality and productivity was as good as with human operators.

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A study on Caffeine containing foods and the effect of caffeine in humans (카페인이 인체에 미치는 영향 및 섭취량 감소 방안에 관한 연구)

  • 이혜원
    • Culinary science and hospitality research
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    • v.6 no.3
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    • pp.343-355
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    • 2000
  • Caffeine is widely consumed ingredient and it belongs to alkaloids. Many foods that we intake contain caffeine ; coffee, tea cocoa, chocolate, and coke. And it is also added to many commercial remedies ; cold tablets, headache tablets, etc. Effect of caffeine that is known to us so far is as follows; 1. Remaining awake for long hours 2. Increasing concentration and decreasing fatigue 3. Increasing basal metabolic rate 4. decomposing glycogen and body fat and providing energy 5. Stimulating gastric acid 6. Increasing urinary excretion. Caffeine containing beverages(especially, coffee)are also favorite food in adult. In case of children and youth, chocolate and coke are favorite food. So, to intake caffeine containing foods moderately can be a vitality of life. But, a long-term intake or overdose of caffeine can result in many side effects. For example, headache, irritability, restlessness, hypertension, fetal abnormality, etc. Therefore, it is desirable that caffeine intake is under 300-400mg per day. To decrease intake of caffeine, 1. Use decaffeinated coffee 2. Product of decaffeinated coffee bean through gene transformation 3. Indicate content and function of caffeine on caffeine-food container 4. Provide an information of caffeine to public.

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Pallet speed control in a sintering plant using neural networks (신경회로망을 이용한 소결기 팰릿 속도 제어)

  • Jang, Min;Cho, Sung-Jun
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 1999.03a
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    • pp.261-270
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    • 1999
  • Sintering transforms powdered ore into lumped ore so that the latter can be used in a blast furnace. The powdered or combined with coke and other materials is loaded into a container and moved along by a pallet while the ignited coke burns. The speed by which the pallet moves determines how much sintering takes place. Since the process is complicated and lacks an accurate mathematical model, human operators manually control the speed by monitoring various factors in the plant. In this paper, we propose a neural network-based pallet speed controller which copies human operator knowledge. Actual process data were collected from a sintering plant for eight months and preprocessed to remove noisy and inconsistent data. A multilayer perceptron was trained using a back-propagation learning algorithm. In on-line testing at the sinter plant, the proposed model reliably controlled pallet speed during normal operation without the help of human operators. Moreover, the quality and productivity was as good as with human operators.

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A Study on the Increasement of Strength about Soft ground improvement material using waste residual by fire (소각잔재물을 활용한 연약지반개량재의 강도증진에 관한 연구)

  • Lee, Kwang-Joon;Lee, Jae-Yeol
    • Proceedings of the Korean Geotechical Society Conference
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    • 2004.03b
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    • pp.692-697
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    • 2004
  • This study is on the increasement of strength about soft ground improvement material using waste residual(paper fly ash, coke ash, slag) by fire. Through this study the authors have analyzed the strength improvement of mixed soft silty sand with improvement materials. The strength of mixed soils with high mixture ratio and more curing days increased. But CA-30(cokes 60%) make more low strength improvement than others. Therefore the authors find out that paper fly ash+cokes, paper fly ash+slag or cokes+slag improvement material is more effect in improvement of soft silty sand than cokes+cenlent. And Ettringite reaction is free mixed soils with more than two materials.

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