Dataset Information

Correlation between the Flow Temperature and Mineral Factor for Coal Ashes Based on FactSage Calculation.

ABSTRACT: To find a simple method to predict the ash flow temperature (FT) based on FactSage calculation, 69 coal ash samples were selected to explore the correlation between the FT and its mineral factor (MF) at a given temperature. An approximate linear relationship was found between ash FT and its MF: FT = 0.64MF + 1332, with a related coefficient value of 0.94 and a standard deviation of 25.77 °C. Ten ash samples were used to investigate its reliability. The calculated FTs were consistent with experimental FTs in the error range of measurement, and the correlation might be more reliable for low iron and low calcium coal.

SUBMITTER: Xue J

PROVIDER: S-EPMC10018494 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Correlation between the Flow Temperature and Mineral Factor for Coal Ashes Based on FactSage Calculation.

Xue Junjie J Li Fenghai F Zhang Mengyuan M Wang Zhiqing Z

ACS omega 20230301 10

To find a simple method to predict the ash flow temperature (FT) based on FactSage calculation, 69 coal ash samples were selected to explore the correlation between the FT and its mineral factor (MF) at a given temperature. An approximate linear relationship was found between ash FT and its MF: FT = 0.64MF + 1332, with a related coefficient value of 0.94 and a standard deviation of 25.77 °C. Ten ash samples were used to investigate its reliability. The calculated FTs were consistent with experim ...[more]

PMID: 36936314

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Project description:At present, a few chemicals can be separated after further processing of high-temperature coal tar (HTCT) distillates, which have a lower utilization. However, hydrogenation to produce clean fuel oil has not been widely reported in literature. Thus, due to the use of new feedstocks and the implementation of more severe environmental legislations, deep hydrodesulfurization (HDS) of HTCT will face formidable challenges. A series of HDS experiments were performed in a continuous isothermal trickle bed reactor in which the reactor temperature was varied from 648 to 678 K, the pressure from 12 to 16 MPa, and the liquid hourly space velocity (LHSV) from 0.25 to 0.35 h-1, and hydrogen-to-oil ratio kept constant at 2000 L/L. Based on the experimental data, possible reaction pathways of HDS reaction were investigated, and a modified Langmuir-Hinshelwood (LH) HTCT desulfurization kinetic model was established. gPROMS software was used to obtain optimal kinetic parameters that are as follows: EA = 26,842, K 0 = 93,958, α = -1.14, n = 1.65, and m = 0.86. The model can well reproduce various working conditions and has better prediction accuracy. Some characteristics of HTCT HDS reactions were discovered; the reaction order (n) of HTCT HDS is slightly higher than that of crude oil and medium/low-temperature coal tar (M/LTCT), but the activation energy (EA) is relatively smaller. The established reactor model was used to predict the changes of the concentration of hydrogen, hydrogen sulfide, and sulfur compounds in the gas, liquid, and solid phases along the length of the reactor, respectively. The model was also used to predict the effects of pressure, temperature, and LHSV on the conversion rate of sulfur and catalyst effectiveness factors. The results showed that the LHSV has a greater impact on the conversion rate, and the pressure and temperature are less pronounced at high-severity operating conditions; the effectiveness factor is significantly smaller than that of other HDS processes, temperature has a greater effect on the effectiveness factor, followed by pressure and LHSV. The conclusion can provide a basis for further understanding the HTCT hydrotreating process.

Dataset Information

Correlation between the Flow Temperature and Mineral Factor for Coal Ashes Based on FactSage Calculation.

Publications

Correlation between the Flow Temperature and Mineral Factor for Coal Ashes Based on FactSage Calculation.

Similar Datasets

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