SEGREGATION OF COAL PARTICLES DURING CHARGING INTO COKING TOWER

Authors

  • Valentyn Koval State Enterprise “Ukrainian State Research Institute for Carbochemistry”, Coal Department
  • Denys Miroshnychenko National Technical University Kharkiv Polytechnic Institute
  • Illia Avdeyuk National Technical University “Kharkiv Polytechnic Institute“, Department of Oil, Gas, and Solid Fuel Processing Technology
  • Mykhailo Miroshnychenko National Technical University “Kharkiv Polytechnic Institute“ Department of Oil, Gas, and Solid Fuel Processing Technology
  • Serhii Nedbailo National Technical University “Kharkiv Polytechnic Institute“ Department of Oil, Gas, and Solid Fuel Processing Technology

DOI:

https://doi.org/10.59957/jctm.v60.i6.2025.19

Keywords:

segregation, coking tower, ash content, particle size classes, sampling, distribution, granulometric composition.

Abstract

This study investigates coal particle segregation in an industrial coking plant, analysing particle size and key quality parameters (ash, volatile matter, sulfur). Unlike previous mathematical or lab-based studies, it provides real-world data to optimize coal preparation. Findings show uneven ash distribution across size fractions: the 25 - 50 mm fraction has the highest ash content (6.8 - 32.1 %, average 13.1 %), while lower values appear in the 0.5 - 6 mm range (6.9 - 7.3 %). Fine fractions (< 0.5 mm) exhibit elevated ash levels (average 10.9 %, max. 15.1 %).
Despite stable coal charge properties during loading, variations across tower sections highlight challenges in achieving uniformity. Differences in particle size, volatile matter, and ash content from central to peripheral rows emphasize the need for improved loading strategies. This study underscores the critical role of the loading and distribution stages in preparing a uniform coal charge for coking doffers practical recommendations to enhance coal preparation and coke production efficiency.

Author Biography

Denys Miroshnychenko, National Technical University Kharkiv Polytechnic Institute

Head of the department of oil, gas and solid fuel refining technologies

References

C. Ni, G. Xu, J. Chang, B. Liu, Dense medium cyclone separation of fine coal: a discussion on the separation lower limit, Minerals, 13, 9, 2023, 1115. https://doi.org/10.3390/min13091115.

X. Wang, H. Cheng, D. Ding, Advances and prospects on flotation enhancement of difficult-to-float coal by emulsion: a review, Minerals 14, 9, 2024, 952. https://doi.org/10.3390/min14090952.

F. Sánchez, P. Hartlieb, Innovation in the mining industry: technological trends and a case study of the challenges of disruptive innovation, Min. Metall. Explor., 37, 2020, 1385–1399. https://doi.org/10.1007/s42461-020-00262-1.

Y. Zhao, X. Yang, Z. Luo, et al, Progress in developments of dry coal beneficiation, Int. J. Coal Sci. Technol., 1, 2014, 103–112. https://doi.org/10.1007/s40789-014-0014-5.

G. L. R. Silva, E. Destro, R. F. Bueno, J. L. de R. Oliveira, R.D. Assis, Chemical, physical and metallurgical characterization of the granulometric fractions of the coal mixture from Gerdau Açominas, Iron Ore and Raw Materials Reduction Seminar and 10th Brazilian Iron Ore Symposium, Ouro Preto: 2009, ISSN: 2594-357X. DOI 10.5151/2594-357X-15521, (in Portuguese).

D.V. Miroshnichenko, N.A. Desna, V.V. Koval, S.V. Fatenko, Hardgrove grindability of coal. part 1. correlations with composition, structure, and properties, Coke Chem., 62, 1, 2019, 1–4. https://doi.org/10.3103/S1068364X19010058.

D.V. Miroshnichenko, V. V. Koval, and S. V. Fatenko, Crushing properties of coal 3. method of determining the protod’yakonov strength coefficient, Coke Chem., 64, 1, 2021, 1–7. https://doi.org/10.3103/S1068364X2101004X.

E.M.H. Braga, G.L.R. Silva, R.C.V. Amaral, M. C. Carias, , P. S. L. R. AssisLemos, Influence of moisture and particle size on coal blend bulk density, Int. J. Eng., 72, 2, 2020. https://doi.org/10.1590/0370-44672018720006 .

M. Constant, N. Coppin, F. Dubois, R. Artoni, J. Lambrechts, V. Legat, Numerical investigation of the density sorting of grains using water jigging, Powder Technol., 393, 2021, 705–721. https://doi.org/10.1016/j.powtec.2021.07.036.

, J. Bosman, The art and science of dense medium selection, J. South. Afr. Inst. Min. Metall., 114, 2014, 529–536. https://www.saimm.co.za/Journal/v114n07p529.pdf.

D. Miroshnichenko, V. Koval, O. Bogoyavlenska, S. Pyshyev, E. Malyi, M. Chemerinskiy, Effect of the quality indices of coal on its grindability, Min. Miner. Depos., 16, 4, 2022, 40-46. https://doi.org/10.33271/mining16.040.

S. Pyshyev, D. Miroshnichenko, V. Koval, T. Chipko, M. Shved, 2023. The use of Protodiakonov and Hardgrove methods to determine the effect of coal quality on its grinding ability, Heliyon, 9, e20841. https://doi.org/10.1016/j.heliyon. e20841.

D. Miroshnichenko, V. Koval, O. Borisenko, N. Mukina, I. Avdeiuk, Effect of coal quality and preparation on the stamping performance and quality of coke, Sci. Rep., 14, 1, 2024, 27542. http://dx.doi.org/10.1038/s41598-024-78352-z.

Y. Wang, Y. Wang, Sh. Zhang, Effect of drying conditions on moisture re-adsorption and particulate matter emissions during the classification drying of coking coal, Fuel Process. Technol., 192, 2019, 65-74. https://doi.org/10.1016/j.fuproc.2019.04.019.

A. Mianowski, B. Mertas, M. Ściążko, The Concept of optimal compaction of the charge in the gravitation system using the grains triangle for cokemaking process, Energies, 14, 13, 2021, 3911. https://doi.org/10.3390/en14133911.

D. Miroshnichenko, V. Mieshchanin, V. Koval, S. Kravchenko, Effect of moisture on the flowability of the coal charge, Pet. Coal., 64, 4, 2022, 993-999. https://www.vurup.sk/wp-content/uploads/2022/12/PC-X_Miroshnichenko_10_22.pdf.

H.P. Zhu, Z.Y, Zhou, R.Y. Yang, A.B. Yu, Discrete particle simulation of particulate systems: Theoretical developments, Chem. Eng. Sci., 62, 13, 2007, 3378-3396. https://doi.org/10.1016/j.ces.2006.12.089.

H. Li, Y. He, J. Yang, X. Zhu, Zh. Peng, J. Yu, Segregation of coal particles in air classifier: Effect of particle size and density, Energy Sources Part A, 40, 11, 2018, 1332-1341. https://doi.org/10.1080/15567036.2018.1475521.

X. Li, M. Zhang, X. Zan, B. Tan, S. Gao, Numerical-simulation study on the influence of wind speed and segregation effect on spontaneous combustion of coal bunker, Case Stud. Therm. Eng., 52, 1, 2023, 103678. https://doi.org/10.1016/j.csite.2023.103678.

Zh. Fu, J. Zhu, Sh. Barghi, Yu. Zhao, Zh. Luo, Ch. Duan, Mixing and segregation behavior in an air dense medium fluidized bed with binary mixtures for dry coal beneficiation, Powder Technol., 371, 30, 2020, 161-169. https://doi.org/10.1016/j.powtec.2020.05.094.

S. Wang, Y. Fu, Y. Zhao, L. Dong, Z. Chen, Effect of bed density on the segregation behavior of fine coal particles (<6 mm) in a gas–solid separation fluidized bed, Powder Technol., 395, 2022, 872-882. https://doi.org/10.1016/j.powtec.2021.10.037.

S. Gupta, S. De, Investigation of hydrodynamics and segregation characteristics in a dual fluidized bed using the binary mixture of sand and high-ash coal, Adv. Powder Technol., 32, 8, 2021, 2690-2702. https://doi.org/10.1016/j.apt.2021.04.023.

Z. Sun, L. Huang, R. Jia, Coal and gangue separating robot system based on computer vision, Sensors, 21, 4, 2021, 1349. https://doi.org/10.3390/s21041349.

D. V. Miroshnichenko, V. V. Koval, S. V. Fatenko, Y. V. Nikolaichuk , Crushing properties of coal 2. binary coal blends, Coke Chem., 63, 11, 2020, 513–518. https://doi.org/10.3103/S1068364X20110046.

Q. Wang, W. Yin, B. Zhao, H. Yang, J. Lu, L. Wei, The segregation behaviors of fine coal particles in a coal beneficiation fluidized bed, Fuel Process. Technol., 124, 2014, 28-34. https://doi.org/10.1016/j.fuproc.2014.02.015.

Y. Ma, J. Liu, Y. Jiang, X. Jiang, J. Ma, X. Wang, A. Jiao, Segregation patterns and characteristics differences of superfine pulverized coal ground by three pulverizing systems, Adv. Powder Technol., 30, 3, 2019, 513-523. https://doi.org/10.1016/j.apt.2018.12.002.

J. Oshitani, K. Teramoto, M. Yoshida, Y. Kubo, Sh. Nakatsukasa, G.V. Franks, Dry beneficiation of fine coal using density-segregation in a gas–solid fluidized bed, Adv. Powder Technol., 27, 4, 2016, 1689-1693. https://doi.org/10.1016/j.apt.2016.05.032.

F. Yang, M. Zhang, G. Ren, S. Yao, E. Zhou, Study on the Separation Effect and mechanism of 6–0.5 mm coal in fluidized bed with vibratory combined force field, Energies, 16, 3, 2023, 1133. https://doi.org/10.3390/en16031133.

A. Surowiak, T. Niedoba, M. Wahman, A. Hassanzadeh, Optimization of coal production based on the modeling of the jig operation, Energies, 16, 4, 2023, 1939. https://doi.org/10.3390/en16041939.

K. van Netten, K.P. Galvin, Rapid beneficiation of fine coal tailings using a novel agglomeration technology, Fuel Process. Technol., 176, 2018, 205-210. https://doi.org/10.1016/j.fuproc.2018.03.033.

D. W. James, G. Krishnamoorthy, S. A. Benson, W. S. Seames, Modeling trace element partitioning during coal combustion, Fuel Process. Technol., 126, 2014, 284-297. https://doi.org/10.1016/j.fuproc.2014.05.002.

D. Wu, P. Zhou, H. Yan, P. Shi, Ch. Q. Zhou, Numerical investigation of the effects of size segregation on pulverized coal combustion in a blast furnace, Powder Technol., 342, 2019, 41-53. https://doi.org/10.1016/j.powtec.2018.09.067.

, J. Liu, X. Jiang, Y. Zhang, H. Zhang, L. Luo, X. Wang, Size segregation behavior of heavy metals in superfine pulverized coal using synchrotron radiation-induced X-ray fluorescence, Fuel 181 (2016) 1081-1088. https://doi.org/10.1016/j.fuel.2016.04.115.

Z. Chen, X. Xu, M. Pan, H. Deng, Y. Cao, Sh. Zhao, E. Zhou, Ch. Duan, Effect of vibration and airflow on separation of 6–1 mm fine coal in compound dry separation bed, Chem. Eng. Res. Des., 207, 2024, 350-360. https://doi.org/10.1016/j.cherd.2024.06.002.

L. Gao, M. Volpe, M. Lucian, L. Fiori, J. L. Goldfarb, Does hydrothermal carbonization as a biomass pretreatment reduce fuel segregation of coal-biomass blends during oxidation? Energy Convers. Manage., 181, 2019, 93-104. https://doi.org/10.1016/j.enconman.2018.12.009.

R. Ganguli, J. C. Yingling, Algorithms to control coal segregation under non-stationary conditions: Part I: Moving window and SPC-based updating methods, Int. J. Miner. Process., 61, 2001, 241-259. https://doi.org/10.1016/S0301-7516(00)00064-8.

R. Ganguli, J. C. Yingling, Algorithms to control coal segregation under non-stationary conditions: Part II: Time series-based methods, Int. J. Miner. Process., 61, 2001, 261-271. https://doi.org/10.1016/S0301-7516(00)00063-6.

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2025-11-02

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