Understanding the difficult selective separation characteristics of high-ash fine coal

Yang, Zili; Chang, Guohui; Xia, Yangchao; Li, Ming; Xing, Yaowen; Gui, Xiahui

doi:10.37190/ppmp/126427

Cited by 5 publications

(4 citation statements)

References 25 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ZTPP model needs to be checked for adequacy. For this purpose, we considered the results of flotation tests [19] and [20] for steam coal, in particular, the display of graphs of compliance with the Ad (Ash content, %) of tailings during beneficiation relative to the proportion of tailings to fuel (Concentrate yield, %) under various conditions.…”

Section: Checking the Model For Adequacymentioning

confidence: 99%

See 1 more Smart Citation

Mathematical model of a steam boiler as a control plant

Maksym V.,

Fedir D.,

Olga S.

et al. 2023

AAIT

View full text Add to dashboard Cite

The article highlights the problems associated with unpredictable outages, uncertainties in fuel supply, unpredictable changes in coal quality, and deterioration of the infrastructure ofa thermal coal-fired power plant due to the use of high-ash fuels. Traditional methods of solving these problems lack adaptability and flexibility. The aim of the study was to improve the efficiency of operation of boiler units of thermal coal-fired powerplants, which consists in increasing the service life, by improving the models of thermal coal quality management under random perturbations of its composition using automated measurement of abrasive materials in the dust removal system in real time. A simulation model of the influence of coal quality on the erosion wear of heat exchange surfaces of a steam boiler of a thermal coal-fired power plant was developed, consisting of a model of coal transportation and supply, a model of coal quality control, anda model of coal abrasiveness. The models were validated using a computerized flotation test comparison experiment and a one-factor analysis of variance. The experimental results showed that the group mean errors generally do not differ significantly. A method was also developed for controlling the quality of combusted coal when the abrasive composition of the coal batch formed by the supplier is disturbed. The proposed models and methods have the potential to significantly improve the efficiency of thermalcoal-fired power plants through the use of computer-integrated systems for managing pipe wear resistance and reducing the need for premature repair and replacement of equipment, as well as ensuring satisfactory quality of fuel and abrasive compositions, namely, fixing the service life of pipes within 5-9 years, as opposed to the unconscious use of highly abrasive fuel, which will cause an urgent shutdown of a thermal coal-fired power plant within a year. This study opens the way to improving the operation of a thermal coal-fired power plant and expands the understanding of the relationship between coal quality and equipment wear. However, further empirical studies with a larger data set would be useful to improve the accuracy and versatility of the model

show abstract

Section: Checking the Model For Adequacymentioning

confidence: 99%

“…Initially, the study [19] was considered for comparison. In this study, an XFDII 1.0-L machine (Jianfeng Mill, Nanchang, China) was used as the beneficiation equipment for the laboratory flotation cell.…”

Section: Fig 3 Graph Of Concentrate Yield Versus Ash Contentmentioning

confidence: 99%

Mathematical model of a steam boiler as a control plant

Maksym V.,

Fedir D.,

Olga S.

et al. 2023

AAIT

View full text Add to dashboard Cite

show abstract

“…The flotation process is a continuous evolving separation environment where minerals that are inherently easier to float tend to separate promptly while those that are inherently more challenging to float remain suspended within the pulp environment. Consequently, variable energy inputs must be introduced during the flotation process to cater to the nonlinear fluctuations in pulp properties and optimize the overall recovery efficiency (Gui et al, 2017;Hassanzadeh et al, 2022;Yang et al, 2020b).…”

Section: Introductionmentioning

confidence: 99%

Effect of two-stage energy input on enhancing the flotation process of high-ash coal slime

Wang,

Han,

Zhu

et al. 2024

Physicochem. Probl. Miner. Process.

View full text Add to dashboard Cite

To solve the mismatch problems of nonlinear changes of coal slurry properties and energy input during the continuous flotation process, we used a two-stage energy input method to promote the efficient recovery of clean coal and achieve maximized benefits. Results showed that the flotation rate constant increased with the increase in stirring speed and reached its maximum value of 0.0271 s-1 when the stirring speed increased to 1200 r/min under a single energy input, with a maximum combustible recovery of 74.35%. However, the short-term flotation results within 40 s showed that the combustible recovery increased with stirring speed and reached its maximum value of 50.19% at 1500 r/min. The stirring speed was set at 1800 r/min for a fast flotation period and 2400 r/min for an enhanced separation period, which could achieve a maximum combustible recovery of 89.21%. Furthermore, the adsorption density of the collector was optimized, exceeding that achieved under single-stage energy input. The flotation process could be optimized by two-stage energy input. Coarse coal particles were preferentially floated by low-speed stirring in the initial fast selection period. Fine coal particles were further separated during the enhanced separation period under the action of high-speed shear. Two-stage energy input could significantly improve the combustible recovery of the overall flotation of coal slime.

show abstract

“…Therefore, high-ash coal has earned considerable interest in the fields of flotation and gasification. On one hand, it has been used to recover clean coal by flotation in industrial practice [ 2 , 3 , 4 ] although the ash content, such as quartz and clay minerals, adversely affected the selectivity of the coal [ 5 , 6 ]. On the other hand, some studies showed that high-ash coal was selected as the raw material to produce syngas using pyrolysis [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Structural Characterization and Molecular Model Construction of High-Ash Coal from Northern China

Zhu

Dong

et al. 2023

Molecules

View full text Add to dashboard Cite

High-ash coal, also known as low-grade coal, has becomes a viable alternative in recent years to high-quality coal because available resources have become increasingly scarce due to extensive mining activity. This work aims to provide a comprehensive understanding of the structural characteristics of high-ash coal and construct a plausible molecular structure to elucidate its chemical reactivity in future applications. Its properties were investigated using Solid-state 13C nuclear magnetic resonance (13C NMR), X-ray photoelectron spectroscopy analysis (XPS), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FT-IR). The molecular structure was constructed and validated using Material Studio, LAMMPS Software Package, and MATLAB program. The characterization results revealed that high-ash coal contains 72.15% aromatic carbon, significantly surpassing the percentage of aliphatic carbon (27.85%). The ratio of bridgehead carbon to peripheral aromatic carbon was calculated as 0.67, indicating that the pentacene is the main carbon skeleton form in the high-ash coal structure. Furthermore, oxygen-containing functional groups presented as C=O/O–C–O, C–O, and COO– within the structure along with pyridine and pyrrolic structures. Consequently, the molecular structure comprises pentacene with aliphatic carbon chains, such as methylene, that connect the benzene rings and form a three-dimensional network. The results of a simulated IR spectrum and contact angle simulation aligned with the experimental results, validating the molecular structure of high-ash coal. The chemical formula for the high-ash coal model was determined as C203H189N7O61S with a molecular weight of 3734.79.

show abstract

Understanding the difficult selective separation characteristics of high-ash fine coal

Cited by 5 publications

References 25 publications

Mathematical model of a steam boiler as a control plant

Mathematical model of a steam boiler as a control plant

Effect of two-stage energy input on enhancing the flotation process of high-ash coal slime

Structural Characterization and Molecular Model Construction of High-Ash Coal from Northern China

Contact Info

Product

Resources

About