Kinetic thermal behaviour and evaluation of physical structure of sugar cane bagasse char during non-isothermal steam gasification

Edreis, Elbager M.A.; Yao, Hong

doi:10.1016/j.jmrt.2016.03.006

Cited by 47 publications

(38 citation statements)

References 34 publications

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“…A commonly used gasification figure was selected in order to indicate a char's reactivity; t 0.5 -the time in minutes taken for the chars to reach 50% conversion with a lower number signifying a more reactive char [34][35][36].…”

Section: Methodsmentioning

confidence: 99%

Investigating char agglomeration in blast furnace coal injection

Sexton

Steer

Marsh

et al. 2018

Fuel Processing Technology

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A B S T R A C TBlast furnace iron manufacturers aim to reduce expensive coke usage through the injection of coal. This paper investigates contrasting agglomeration behaviour with a view towards optimising blast furnace operations and limiting furnace permeability issues.A drop tube furnace (DTF) was used to investigate the performance of two coal particle size specifications that were representative of injection coal sizes: pulverised (100% < 300 μm, 50% < 75 μm), and granulated (100% < 1 mm, 50% < 250 μm). A range of coals was subjected to DTF testing with issues arising from the injection of caking coals. Results show these coals exhibit signs of agglomeration, a potentially problematic effect concerning blast furnace permeability. Considering gasification reactivity upon leaving the blast furnace raceway, it was found that the agglomerated coal chars do not suffer from poor reactivity and are more reactive than the non-agglomerated chars. Pre-treatment through oxidation was found to be an effective means of eliminating agglomeration in the DTF as a result of the reduction in caking properties.

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Section: Methodsmentioning

confidence: 99%

Investigating char agglomeration in blast furnace coal injection

Sexton

Steer

Marsh

et al. 2018

Fuel Processing Technology

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“…The activation energy of degradation in PS and SNPs was estimated using Friedman, OFW, and KAS methods (Table ). In comparison, the OFW and KAS are the best methods to predict the degradation in PS and SNPs (higher R 2 values), suggesting that the decomposition process is dependent on the temperature …”

Section: Resultsmentioning

confidence: 99%

“…Ozawa‐Flynn‐Wall (OFW) and Kissinger‐Akahira‐Sunose (KAS) approximate methods consider the effect of temperature on the chemistry of the decomposition process . Therefore, Equation by separation of variable and integration can be rewritten as:

g true(α true) = - \int_{0}^{α} \frac{d α}{italicf true(α true)} = \frac{A}{β} \int_{T_{0}}^{T} e^{- E / R T} d T

where g ( α ), is the integral form of the conversion function …”

Section: Resultsmentioning

confidence: 99%

“…In OFW approximate method is used Doyle's approximation, in this way, Equation can be rewritten as:

\log true(β true) = log true[\frac{AE}{g true(α true) R} true] - 2.315 - 0.4567 \frac{E}{RT}

…”

Section: Resultsmentioning

confidence: 99%

“…[26] Ozawa-Flynn-Wall (OFW) and Kissinger-Akahira-Sunose (KAS) approximate methods consider the effect of temperature on the chemistry of the decomposition process. [25,[31][32][33][34][35][36] Therefore, Equation (5) by separation of variable and integration can be rewritten as:…”

Section: Thermogravimetric Analysis (Tga)mentioning

confidence: 99%

See 2 more Smart Citations

Mathematical Models for Prediction of Water Evaporation and Thermal Degradation Kinetics of Potato Starch Nanoparticles Obtained by Nanoprecipitation

et al. 2018

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The aim of this research is to study the thermal degradation kinetics and some physicochemical properties of starch nanoparticles (SNPs) produced from potato starch (PS) by nanoprecipitation. Native PS is used as a control. The powder samples are analyzed by means of light and transmission electron microscopies, X‐ray diffraction, Fourier transform infrared, and thermogravimetric analysis. PS shows oval and spherical granular shaped with a diameter between 6 and 18 µm, whereas SNPs display spherical and elliptical shapes with particle sizes between 50 and 150 nm. The relative crystallinity is 25.4% to PS, and it decreases to approximately 23.5% for SNPs. Activation energy (E) associated to the water evaporation and thermal degradation is calculated using the Newton model as well Ozawa‐Flynn‐Wall (OFW) and Kissinger‐Akahira‐Sunose (KAS) models, respectively. The E values using the Newton model increase from 43.7 kJ mol−1 (PS) to 84.1 kJ mol−1 (SNPs). The E values using the OFW and KAS models vary between 165 and 227 kJ mol−1 for PS, and between 180 and 400 kJ mol−1 for SNPs. Modifications in E values are associated with the increase in surface area in SNPs. This research reports new information of the thermal properties of SNPs.

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Effect of pyrolysis temperature on pine sawdust chars and their gasification reactivity mechanism with CO₂

Wei

Liu

Ren

et al. 2018

Asia-Pacific J Chem Eng

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The mechanism on CO 2 gasification reactivity of pine sawdust chars (PS chars) obtained from the different pyrolysis temperatures (873, 973, and 1073 K) is studied on the basis of nonisothermal thermogravimetric method. The order of gasification reactivity is PS char-873 > PS char-973 > PS char-1073. The effect of pyrolysis temperature is depicted by microstructure characterization, and the gasification reactivity is analyzed with nonisothermal kinetic models. The microstructure characterizations of chars are characterized by scanning electron micrograph, Brunauer-Emmett-Teller, Fourier transform infrared, and X-ray diffraction. Results show that the microcrystalline structure of biomass char is the dominant factor for the effect of gasification reactivity with the pyrolysis temperature rising. The kinetic models of Flynn-Wall-Ozawa and Kissinger-Akahira-Sunose are applied to describe the kinetics of gasification process.The average values of activation energy are in close agreement with the two methods. Both of the methods prove that F2 mechanism is applicable to the gasification of PS chars at lower pyrolysis temperature and F1 mechanism at higher pyrolysis temperature. Besides, there is a compensation effect between activation energy and preexponential factor in the CO 2 gasification process.

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Kinetic thermal behaviour and evaluation of physical structure of sugar cane bagasse char during non-isothermal steam gasification

Cited by 47 publications

References 34 publications

Investigating char agglomeration in blast furnace coal injection

Investigating char agglomeration in blast furnace coal injection

Mathematical Models for Prediction of Water Evaporation and Thermal Degradation Kinetics of Potato Starch Nanoparticles Obtained by Nanoprecipitation

Effect of pyrolysis temperature on pine sawdust chars and their gasification reactivity mechanism with CO₂

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Kinetic thermal behaviour and evaluation of physical structure of sugar cane bagasse char during non-isothermal steam gasification

Cited by 47 publications

References 34 publications

Investigating char agglomeration in blast furnace coal injection

Investigating char agglomeration in blast furnace coal injection

Mathematical Models for Prediction of Water Evaporation and Thermal Degradation Kinetics of Potato Starch Nanoparticles Obtained by Nanoprecipitation

Effect of pyrolysis temperature on pine sawdust chars and their gasification reactivity mechanism with CO2

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Effect of pyrolysis temperature on pine sawdust chars and their gasification reactivity mechanism with CO₂