• Title/Summary/Keyword: Char gasification

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Understanding Coal Gasification and Combustion Modeling in General Purpose CFD Code (범용 CFD 코드에서 석탄 가스화 및 연소 모델링에 관한 이해)

  • Lee, Hoo-Kyung;Choi, Sang-Min;Kim, Bong-Keun
    • Journal of the Korean Society of Combustion
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    • v.15 no.3
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    • pp.15-24
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    • 2010
  • The purpose of this study is to assess approaches to modeling coal gasification and combustion in general purpose CFD codes. Coal gasification and combustion involve complex multiphase flows and chemical reactions with strong influences of turbulence and radiation. CFD codes would treat coal particles as a discrete phase and gas species are considered as a continuous phase. An approach to modeling coal reaction in $FLUENT^{(R)}$, selected in this study as a typical commercial CFD code, was evaluated including its devolatilization, gas phase reactions, and char oxidation, turbulence, and radiation submodels. CFD studies in the literature were reviewed to show the uncertainties and limitations of the results. Therefore, the CFD analysis gives useful information, but the results should be carefully interpreted based on understandings on the uncertainties associated with the modelings of coal gasification and combustion.

Gasification reactivity of Chinese Shinwha Coal Chars with Steam (스팀을 이용한 중국산 신화 석탄 촤 가스화 반응에 관한 연구)

  • Kang, Min-Woong;Seo, Dong-Kyun;Kim, Yong-Tak;Hwang, Jung-Ho
    • Journal of the Korean Society of Combustion
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    • v.15 no.1
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    • pp.22-29
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    • 2010
  • In this study, carbon conversion was measured using an electronic mass balance. In a lab scale furnace, each coal sample was pyrolyzed in a nitrogen environment and became coal char, which was then gasified with steam under isothermal conditions. The reactivity of coal char was investigated at various temperatures and steam concentrations. The VRM(volume reaction model), SCM(shrinking core model), and RPM(random pore model) were used to interpret experimental data. For each model the activation energy(Ea), pre-exponential factor (A), and reaction order(n) of the coal char-steam reaction were determined by applying the Arrhenius equation into the data obtained with thermo-gravimetric analysis(TGA). According to this study, it was found that experimental data agreed better with the VRM and SCM for 1,000 and $1,100^{\circ}C$, and the RPM for 1,200 and $1,300^{\circ}C$. The reactivity of chars increased with the increase of gasification temperature. The structure parameter(${\psi}$) of the surface area for the RPM was obtained.

Development of Innovation DME Process from Natural Gas and Biomass in KOREA (천연가스와 바이오매스로부터 개선된 DME 공정의 개발)

  • Cho, Wonjun;Song, Taekyong;Baek, Youngsoon;Kim, Seung-Soo
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.11a
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    • pp.107-107
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    • 2010
  • Hydrogen is an alternative fuel for the future energy which can reduce pollutants and greenhouse gases. Synthesis gas have played an important role of synthesizing the valuable chemical compound, for example methanol, DME and GTL chemicals. Renewable biomass feedstocks can be potentially used for fuels and chemical production. Current thermal processing techniques such as fast pyrolysis, slow pyrolysis, and gasification tend to generate products with a large slate of compounds. Lignocellulose feedstocks such as forest residues are promising for the production of bio-oil and synthesis gas. Pyrolysis and gasification was investigated using thermogravimetric analyzer (TGA) and bubbling fluidized bed gasification reactor to utilize forest woody biomass. Most of the materials decomposed between $320^{\circ}C$ and $380^{\circ}C$ at heating rates of $5{\sim}20^{\circ}C/min$ in thermogravimetric analysis. Bubbling fluidized bed reactor were use to study gasification characteristics, and the effects of reaction temperature, residence time and feedstocks on gas yields and selectivities were investigated. With increasing temperature from $750^{\circ}C$ to $850^{\circ}C$, the yield of char decreased, whereas the yield of gas increased. The gaseous products consisted of mostly CO, CO2, H2 and a small fraction of C1-C4 hydrocarbons.

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Steam Gasification Kinetics of Sawdust Char at High Temperature (톱밥 촤의 고온 수증기 가스화 특성)

  • Roh, Seon Ah;Yun, Jin Han;Keel, Sang In;Min, Tai Jin;Lee, Jung Kyu
    • Korean Chemical Engineering Research
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    • v.52 no.6
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    • pp.821-825
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    • 2014
  • Steam gasification of sawdust char was performed in a thermobalance reactor at high temperature. Gasification temperature was changed from $850^{\circ}C$ to $1400^{\circ}C$ and steam partial pressure was 0.3, 0.5 and 0.7 atm. Three models of gas-solid reaction were applied to the reaction kinetics analysis and modified volumetric model was an appropriate model. Reaction control regime and diffusion control regime were distinct depending on the temperature. Apparent activation energy and pre-exponential factors for both of the regimes were evaluated and the effects of steam partial pressure were examined. $H_2$ concentration in the produced gas was two times higher than that of CO due to the gasification accompanying by the water gas shift reaction.

A Theoretical Analysis on Volatile Matter Release from Different Coals Using CPD Model During a Coal Gasification (CPD 모델을 활용한 석탄 가스화 과정 중 탄종에 따른 휘발분 배출에 관한 이론해석연구)

  • Kim, Ryang-Gyoon;Lee, Byoung-Hwa;Jeon, Chung-Hwan;Chang, Young-June;Song, Ju-Hun
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.33 no.12
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    • pp.1000-1006
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    • 2009
  • Integrated Coal Gasification Combined Cycle (IGCC) power plants have been developed to reduce carbon dioxide emissions and to increase the efficiency of electricity generation. A devolatilization process of entrained coal gasification is predicted by CPD model which could describe the devolatilization behavior of rapidly heated coal based on the chemical structure of the coal. This paper is intended to compare the mass release behavior of char, tar and gas(CO, $CO_2,\;H_2O,\;CH_4$) for three different coals. The influence of coal structure on gas evolution is examined over the pressure range of 10${\sim}$30atm.

Characteristics of Gasification for a Refused Plastic Fuel (플라스틱 고형 연료의 가스화 특성)

  • Chun, Young Nam;Lim, Mun Sup;Jo, Dae Young
    • Journal of Korean Society of Environmental Engineers
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    • v.37 no.11
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    • pp.636-641
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    • 2015
  • Waste energy conversion to SRF (Solid Refuse Fuel) has the effects not alternative fossil fuel usage but also the reduction of greenhouse gas. But the direct burning of the SRF including a plastic waste generates air pollution problem like soot, dioxin, etc. so that an application of pyrolysis and gasification treatment should be needed. The purpose of this study is to supply a basic thermal data of the pyrolysis gasification characteristics in the plastic-rich SRF which are needed for developing the novel pyrolyser or gasifier. To do so, a bench-scale test rig was newly engineered, and then experiments were achieved for the production characteristics of gas, tar, and char. While SRF sample, gasification air ratio, holding time changed as 2 g, 0.691, 32 min respectively, the $H_2$ 1.36%, $CH_4$ 2.18%, CO 1.88%, $Cl_2$ 15.9 ppm, HCl 6.4 ppm were composed. Also light tar benzene $4.03g/m^3$, naphthalene $0.39g/m^3$, anthracene $0.11g/m^3$, pyrene $0.06g/m^3$, gravimetric tar $18g/m^3$, and char 0.29 g was formed.

Quantitative Analysis for Biomass Energy Problem Using a Radial Basis Function Neural Network (RBF 뉴럴네트워크를 사용한 바이오매스 에너지문제의 계량적 분석)

  • Baek, Seung Hyun;Hwang, Seung-June
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.36 no.4
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    • pp.59-63
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    • 2013
  • In biomass gasification, efficiency of energy quantification is a difficult part without finishing the process. In this article, a radial basis function neural network (RBFN) is proposed to predict biomass efficiency before gasification. RBFN will be compared with a principal component regression (PCR) and a multilayer perceptron neural network (MLPN). Due to the high dimensionality of data, principal component transform is first used in PCR and afterwards, ordinary regression is applied to selected principal components for modeling. Multilayer perceptron neural network (MLPN) is also used without any preprocessing. For this research, 3 wood samples and 3 other feedstock are used and they are near infrared (NIR) spectrum data with high-dimensionality. Ash and char are used as response variables. The comparison results of two responses will be shown.

The Computer-Aided Simulation Study on the Gasification Characteristics of the Roto Coal in the Partitioned Fluidized-Bed Gasifier (상용모사기를 이용한 로토석탄의 분할유동층 가스화기 가스화 특성 모사)

  • Park, Young Cheol;Moon, Jong-Ho;Lee, Seung-Yong;Lee, Dong-Ho;Jin, Gyoung Tae
    • Korean Chemical Engineering Research
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    • v.50 no.3
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    • pp.511-515
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    • 2012
  • In this study, we used a commercial simulator to investigate the gasification characteristics of Roto coal in the partitioned fluidized-bed gasifier, which consists of 4 parts such as coal pyrolysis, char gasification, tar/oil gasification and char combustion. The heating medium was exchanged between the combustion part and the gasification part in order to supply the energy needed for pyrolysis and gasification. The correlation model from experimental data in relation to the reaction temperatures, the reaction gases and the coal feed rates was derived for the coal pyrolysis. The equilibrium model was used for the gasification and the combustion model for the char combustion. In order to compare the reaction behavior of the partitioned fluidized-bed gasifier, the single-bed gasifier was also simulated. The cold gas efficiency of both partitioned fluidized-bed gasifier and single-bed gasifier was almost the same. The $H_2$ and $CH_4$ contents of the syngas in the partitioned fluidized-bed gasifier slightly increased and the CO and $CO_2$ contents slightly decreased, compared with the singlebed gasifier. In order to verify the model, ten cases of the single-bed gasification experiment have been simulated. The contents of CO, $CO_2$, $CH_4$ in the syngas from the simulation corresponded with the experimental data while those of $H_2$ was slightly higher than experimental data, but the tendency of $H_2$ content in the syngas was similar to the experiments. In the coal conversion, the simulation results were higher than the experiments since equilibrium model was used for the gasification so that the residence time and contact time in the model is different from the experiments.

Removal of tar and particulate from gasification process using pre-coating technology (바이오매스 가스화 공정의 생성가스 중 타르 및 입자 제거를 위한 pre-coating 기술 연구)

  • Kim, Joon-Yub;Choi, Byoung-Kwon;Jo, Young-Min;Kim, Sang-Bum
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.804-815
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    • 2019
  • Due to the depletion and environmental problems of fossil fuel, biomass has arisen as an alternative energy source. Biomass is a renewable and carbon-neutral source. However, it is moister and has lower energy density. Therefore, biomass needs thermal chemical conversion processes like gasification, and it does not only produce a flammable gas, called 'syngas', which consists of CO, H2, and CH4, but also some unwanted byproducts such as tars and some particulates. These contaminants are condensed and foul in pipelines, combustion chamber and turbine, causing a deterioration in efficiency. Thus this work attempted to find a method to remove tars and particles from syngas with a filter which adopts a pre-coating technology for preventing blockage of the filter medium. Hydrated limestone powder and activated carbon(wood char) powder were used as the pre-coat materials. The removal efficiency of the tars was 86 % and 80 % with activated carbon(wood char) coating and hydrated limestone coating, respectively.

Reaction Rate Analysis of CO2 Gasification for Indonesian Coal Char at High Temperature and Elevated Pressure (고온, 고압조건에서의 인도네시아 석탄촤의 CO2 가스화 반응)

  • Lisandy, Kevin Yohanes;Kim, Ryang-Gyoon;Hwang, Chan-Won;Jeon, Chung-Hwan
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.38 no.9
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    • pp.781-787
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    • 2014
  • A pressurized wire mesh heating reactor (PWMR) can provide high pressure and temperature experimental conditions up to 50 atm and 1750 K, respectively. This equipment was developed to evaluate the intrinsic reaction kinetics of $CO_2$ gasification. A PWMR utilizes a platinum (Pt) wire mesh resistance to generate heat with a direct current (DC) electricity supply. This DC power supply can then be controlled by computer software to reach the exact expected terminal temperature and heating period. In this study, BERAU (sub-bituminous Indonesian coal) was pulverized then converted into char with a particle size of $90-150{\mu}m$. This was used in experiments with various pressures (1-40 atm) and temperatures (1373-1673 K) under atmospheric conditions. The internal and external effectiveness factor was analyzed to determine the effects of high pressure. The intrinsic reaction kinetics of BERAU char was obtained using $n^{th}$ order reaction rate equations. The value was determined to be 203.8kJ/mol.