LEI Ming , YE Bin , TIAN Xi , HONG Dikun , ZHANG Qian , ZHANG Lei . Effect of CO₂ Gasification on Coal Burnout during Pressurized Oxy-Fuel Combustion by Experiment and Machine Learning Method[J]. Journal of Thermal Science, 2025 , 34(5) : 1721 -1735 . DOI: 10.1007/s11630-025-2170-x

[1] Buhre B.J.P., Elliott L.K., Sheng C.D., et al., Oxy-fuel combustion technology for coal-fired power generation. Progress in Energy and Combustion Science, 2005, 31(4): 283–307. 
[2] Duan Y., Duan L., Anthony E.J., et al., Nitrogen and sulfur conversion during pressurized pyrolysis under CO₂ atmosphere in fluidized bed. Fuel, 2017, 189: 98–106.
[3] Lei M., Zhang Y., Hong D., et al., Characterization of nitrogen and sulfur migration during pressurized coal pyrolysis and oxy-fuel combustion. Fuel, 2022, 317: 123484. 
[4] Wang X., Shan S., Wang Z., et al., Review on thermal-science fundamental research of pressurized oxy-fuel combustion technology. Frontiers in Energy, 2024, 18: 760–784. 
[5] Zhang J., Zheng Y., Wang X., et al., Nitrogen oxide reduction in pressurized oxy-coal combustion. Combustion and Flame, 2022, 246: 112418. 
[6] Yin C., Yan J., Oxy-fuel combustion of pulverized fuels: Combustion fundamentals and modeling. Applied Energy, 2016, 162: 742–762. 
[7] Hecht E.S., Shaddix C.R., Molina A., et al., Effect of CO₂ gasification reaction on oxy-combustion of pulverized coal char. Proceedings of the Combustion Institute, 2011, 33: 1699–1706. 
[8] Bu C., Gómez-Barea A., Chen X., et al., Effect of CO₂ on oxy-fuel combustion of coal-char particles in a fluidized bed: Modeling and comparison with the conventional mode of combustion. Applied Energy, 2016, 177: 247–259. 
[9] Shen Z., Zhang L., Liang Q., et al., In situ experimental and modeling study on coal char combustion for coarse particle with effect of gasification in air (O₂/N₂) and O₂/CO₂ atmospheres. Fuel, 2018, 233: 177–187. 
[10] Lei M., Zou C., Xu X., et al., Effect of CO₂ and H₂O on the combustion characteristics and ash formation of pulverized coal in oxy-fuel conditions. Applied Thermal Engineering, 2018, 133: 308–315. 
[11] Lei M., Sun C., Wang C., Effect of CO₂ and H₂O gasifications on the burning behavior and NO release process of pulverized coal at low oxygen concentrations during oxy-fuel combustion. Journal of Energy Engineering, 2019, 145: 04019003. 
[12] Hong D., Si T., Li X., et al., Reactive molecular dynamic simulations of the CO₂ gasification effect on the oxy-fuel combustion of Zhundong coal char. Fuel Processing Technology, 2020, 199: 106305. 
[13] Yang Z., Khatri D., Verma P., et al., Experimental study and demonstration of pilot-scale, dry feed, oxy-coal combustion under pressure. Applied Energy, 2021, 285: 116367. 
[14] Li L., Duan L., Yang Z., et al., Pressurized oxy-fuel combustion of a char particle in the fluidized bed combustor. Proceedings of the Combustion Institute, 2021, 38: 5485–5492. 
[15] Liu Y., Zhang H., Shen Y., A data-driven approach for the quick prediction of in-furnace phenomena of pulverized coal combustion in an ironmaking blast furnace. Chemical Engineering Science, 2022, 260: 117945. 
[16] Bi H., Wang C., Lin Q., et al., Combustion behavior, kinetics, gas emission characteristics and artificial neural network modeling of coal gangue and biomass via TG-FTIR. Energy, 2020, 213: 118790. 
[17] Jin N., Guo L., Liu X., Machine learning-aided optimization of coal decoupling combustion for lowering NO and CO emissions simultaneously. Computers & Chemical Engineering, 2022, 162: 107822. 
[18] Adams D., Oh D.H., Kim D.W., et al., Prediction of SO_x-NO_x emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector machine. Journal of Cleaner Production, 2020, 270: 122310. 
[19] Lei M., Han H., Tian X., et al., Investigation of ash fusion characteristics on co-combustion of coal and biomass (straw, sludge, and herb residue) based on experimental and machine learning method. Environmental Science and Pollution Research, 2024, 31: 8467–8482. 
[20] Graeser P., Schiemann M., Emissivity of burning bituminous coal char particles-Burnout effects. Fuel, 2017, 196: 336–343. 
[21] Hong D., Wang Y., Zhai X., A ReaxFF study of the effect of pressure on the contribution of char-CO₂ gasification to char conversion during pressurized oxy-fuel combustion. Fuel, 2022, 329: 125439. 
[22] Kim H., Choi J., Lim H., et al., Combustion characteristics of liquid carbon dioxide-dried coal at different pressures of CO₂-O₂ mixture. Energy, 2023, 266: 126431. 
[23] Niu Y., Liu S., Yan B., et al., Effects of CO₂ gasification reaction on the combustion of pulverized coal char. Fuel, 2018, 233: 77–83. 
[24] Liu G.S., Niksa S., Coal conversion submodels for design applications at elevated pressures. Part II. Char gasification. Progress in Energy and Combustion Science, 2004, 30: 679–717. 
[25] Lin S.Y., Suzuki Y., Hatano H., et al., Pressure effect on char combustion in different rate-control zones: initial rate expression. Chemical Engineering Science, 2000, 55: 43–50. 
[26] Kim R.G., Hwang C.W., Jeon C.H., Kinetics of coal char gasification with CO₂: Impact of internal/external diffusion at high temperature and elevated pressure. Applied Energy, 2014, 129: 299–307. 
[27] Anup K.S., Parthapratim G., Ranajit K.S., Characterization of porous structure of coal char from a single devolatilized coal particle: Coal combustion in a fluidized bed. Fuel Processing Technology, 2009, 90: 692–700. 
[28] Kelebopile L., Sun R., Wang H., et al., Pore development and combustion behavior of gasified semi-char in a drop tube furnace. Fuel Processing Technology, 2013, 111: 42–54. 
[29] Babiński P., Łabojko G., Kotyczka-Morańska M., et al., Kinetics of pressurized oxy-combustion of coal chars. Thermochimica Acta, 2019, 682: 178417.
[30] Xu N., Wang Z., Dai Y., et al., Prediction of higher heating value of coal based on gradient boosting regression tree model. International Journal of Coal Geology, 2023, 274: 104293. 
[31] Lei Q., Yu H., Lin Z., Understanding China’s CO₂ emission drivers: Insights from random forest analysis and remote sensing data. Heliyon, 2024, 10: e29086.
[32] Tang W., Application of support vector machine system introducing multiple submodels in data mining. Systems and Soft Computing, 2024, 6: 200096. 
[33] Lin K.Y.C., Optimizing variable selection and neighbourhood size in the K-nearest neighbour algorithm. Computers & Industrial Engineering, 2024, 191: 110142. 
[34] Lazzarini R., Tianfield H., Charissis V., A stacking ensemble of deep learning models for IoT intrusion detection. Knowledge-Based Systems, 2023, 279: 110941.
[35] Katongtung T., Prasertpong P., Sukpancharoen S., et al., Predictive modeling for multifaceted hydrothermal carbonization of biomass. Journal of Environmental Chemical Engineering. 2024, 12: 114071.