Flow properties of ash and slag under co-gasification of coal and extract residue of direct coal liquefaction residue

Cao, Xi; Peng, Bao-Zi; Kong, Lingxue; Bai, Jin; Ge, Zefeng; Li, Huaizhu; Liu, Zhen; Feng, Zilong; Bi, Dapeng; Bai, Zongqing; Szlęk, Andrzej; Li, Wen

doi:10.1016/j.fuel.2019.116850

Cited by 23 publications

(5 citation statements)

References 39 publications

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“…For each sample, the pyramid ash cone was heated to 1560 °C with a heating rate of 8 K/min under a mild reducing atmosphere ( V CO / V CO2 = 3/2). Characteristic temperatures including deformation temperature (DT), softening temperature (ST), hemisphere temperature (HT), and flow temperature (FT) were obtained based on the shape of the ash cone …”

Section: Methodsmentioning

confidence: 99%

Prediction of Coal Ash Flow Temperature Based on Gray Relational Analysis, Support Vector Regression and Genetic Algorithm

Sun,

Liu,

et al. 2024

ACS Omega

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Coal ash flow temperature significantly influences the operating conditions of entrained flow bed gasification. The relationship between the flow temperature of coal ash and its chemical composition remains uncertain despite being determined by it. To construct a reliable and accurate predictive method, machine learning models were used, and different support vector regression models were built to predict the flow temperature. The prediction results of the proposed gray relational analysis−genetic algorithm−support vector regression model can achieve high accuracy, with a root-mean-square error of 28.37, mean absolute error of 19.48K, and average deviation of 1.58%. Moreover, the prediction results of the proposed model are more accurate and efficient than those calculated by FactSage software, with a mean absolute error of 93.73K. This demonstrates the viability of applying the proposed machine learning model to predict the flow temperature of coal ash and its promising potential application in the area of coal chemical engineering.

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Section: Methodsmentioning

confidence: 99%

Prediction of Coal Ash Flow Temperature Based on Gray Relational Analysis, Support Vector Regression and Genetic Algorithm

Sun,

Liu,

et al. 2024

ACS Omega

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“…For instance, Cao et al researched the effect of the calcium−iron-rich extraction residue (ER) from direct coal liquefaction on ash melting fluidity and found that the composite action of calcium−iron could reduce the content of high-melting-point quartz in coal ash slag, thereby reducing the ash melting temperature. 119 Additionally, slag viscosity was reduced by the addition of the calcium−iron-rich ER. This was caused by the effect of the alkaline component calcium−iron, which caused the Si−O structure to be destroyed and the transformation of slag from [AlO 4 ] 5− to [AlO 6 ] 9− , thereby causing a decrease in the slag polymerization degree and viscosity.…”

Section: Effect Of Alkali-rich Industrial Solid Waste Addition On Coa...mentioning

confidence: 99%

“…With the development of a composite flux, the utilization of a two-component composite flux can effectively regulate the ash melting fluidity, which can not only reduce the excessive addition of a single-component flux but also improve the fluxing effect using the synergistic effect between the two components. For instance, Cao et al researched the effect of the calcium–iron-rich extraction residue (ER) from direct coal liquefaction on ash melting fluidity and found that the composite action of calcium–iron could reduce the content of high-melting-point quartz in coal ash slag, thereby reducing the ash melting temperature . Additionally, slag viscosity was reduced by the addition of the calcium–iron-rich ER.…”

Section: Effect Of Alkali-rich Industrial Solid Waste Addition On Coa...mentioning

confidence: 99%

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Review and Perspectives of Ash Slag Fluidity during Co-gasification of Industrial Solid Waste and Coal: Characteristics, Chemistry, Controlling Mechanisms, and Regulation

Zhang,

Song,

et al. 2024

Energy Fuels

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The stable fluidity of slag at a high temperature is crucial for the long-period operation of an entrained-flow gasifier. The diversity and difference of coal ash make it difficult to meet the requirements for stable slagging in a gasifier. Consequently, coal blending or adding flux has been employed in the industry to improve the fluidity of coal ash slag. As a carbon-containing matrix, industrial solid waste is a kind of energy substance. Utilizing existing industrial gasifiers to blend combustion of industrial solid waste can not only transform industrial solid waste into fuel but also improve the entrained-flow gasifier slagging performance using the unique ash chemical composition of industrial solid waste. Therefore, sorting out the effect of industrial solid waste on coal ash slag fluidity can not only clarify the regulating mechanism of coal ash slagging but also provide some theoretical support for the large-scale consumption of industrial solid waste. In this review, the effects of acid-and alkali-rich industrial solid wastes and coal co-gasification on coal ash slag fluidity were reviewed from the perspectives of ash melting characteristics and viscosity−temperature characteristics, and the effect mechanism of SiO 2 , Al 2 O 3 , SiO 2 / Al 2 O 3 (S/A), CaO, Fe 2 O 3 , and CaO−Fe 2 O 3 (Ca−Fe) compound fluxes on coal ash slag fluidity were elaborated from the viewpoint of mineral evolution and microstructure. Meanwhile, studies on the ash slag fluidity during the co-gasification of industrial solid waste and coal were prospected, which could afford theoretical guidance for the stable slagging of an entrained-flow gasifier and the resourceful treatment of industrial solid waste.

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“…In addition, the decrease of CaO/(SiO 2 + Al 2 O 3 ) and Fe content would inhibit the formation of metallic iron. Cao et al 25 investigated the ash fusibility and slag viscosity of the blended coal with extract residue of DCL residue under gasification conditions. It was pointed out that the liquefaction extract residue with high content of CaO and FeO had a strong crystallization trend in the separate gasification process and the ash fusion points (AFTs) and critical viscosity temperature of the liquefaction extract residue could be improved by blending it with a certain proportion of high-Si coals.…”

Section: Introductionmentioning

confidence: 99%

Study on the fluidity of ash slag of liquefaction solid product and lignite co‐gasification

Wang

Liu

Guo

et al. 2021

Asia-Pacific J Chem Eng

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The utilization of liquefaction solid product (LSP) obtained from fluidization reaction pyrolysis has become a pressing obstacle limiting the industrialization of coal liquefaction technology. In this work, gasification of LSP and Hami lignite coal (LC) and their blend at different ratios was investigated. In addition, the melt flow, mineral transformation, and crystallization behavior in the fusion process and cooling process were investigated. The results show that both LSP and LC are typical crystalline slags and cannot be applied to entrained flow gasification alone. The co-gasification of LC and LSP is a feasible method to improve their fluidity. At the ratio of 2:1 (LC to LSP), the blend has the lowest AFT. For molten slag, viscosity of the sample corresponded well to the structure of the slag. LC1:2LSP with higher Q 2 and Q 3 content showed a high viscosity, while LC1:2LSP with higher Q 0 and Q 1 content showed a lower viscosity. Besides, the size of the crystals generated during cooling is inversely proportional to the high-temperature viscosity of the sample, the migration of ions became difficult, and the growth of crystal size was inhibited at high viscosity. Meanwhile, the slag type of samples was influenced by the precipitated crystals. T cv can be effectively reduced by blending LC with LSP in a certain proportion. The results provide a theoretical basis for the utilization of LSP for the operation of entrained flow gasification.

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Flow properties of ash and slag under co-gasification of coal and extract residue of direct coal liquefaction residue

Cited by 23 publications

References 39 publications

Prediction of Coal Ash Flow Temperature Based on Gray Relational Analysis, Support Vector Regression and Genetic Algorithm

Prediction of Coal Ash Flow Temperature Based on Gray Relational Analysis, Support Vector Regression and Genetic Algorithm

Review and Perspectives of Ash Slag Fluidity during Co-gasification of Industrial Solid Waste and Coal: Characteristics, Chemistry, Controlling Mechanisms, and Regulation

Study on the fluidity of ash slag of liquefaction solid product and lignite co‐gasification

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