[1] Song X., Wang Q., Zhu Y., et al., Experimental study on coal partial gasification coproducing char, tar, and gas. Journal of Thermal Science, 2023, 32(06): 2297–2309.
[2] Lü Y., Wang J.Q., Wang K.Y., et al., Research progress on low-rank coal pyrolysis and its process. Applied Chemical Industry, 2022, 51(04): 1156–1159, 1163.
[3] Zou D., Yuan T.T., Talking about the current situation and prospect of low-rank coal pyrolysis technology. Tianjin Chemical Industry, 2022, 36(04): 12–15.
[4] Fidalgo B., Niekerk D.V., Millan M., The effect of syngas on tar quality and quantity in pyrolysis of a typical South African inertinite-rich coal. Fuel, 2014, 134: 90–96.
[5] Zhang G.Y., The prospect of low rank coal separate utilization according to quality and suggestions for it. Petroleum & Petrochemical Today, 2014, 22(09): 19–23, 36.
[6] Mo H.Y., Study on the high-efficiency, clean and quality utilization of low-rank coal. Chemical Engineering Design Communications, 2022, 48(04): 175–177.
[7] Mangesh V.L., Padmanabhan S., Tamizhdurai P., et al., Experimental investigation to identify the type of waste plastic pyrolysis oil suitable for conversion to diesel engine fuel. Journal of Cleaner Production, 2020, 246: 119066.
[8] He H., Wang M.X., Zhang J., et al., Application progress in comprehensive utilization of municipal solid wastes and prospects on its industrialization pattern. Modern Chemical Industry, 2019, 39(06): 6–14.
[9] Padmanabhan S., Kumar T.V., Giridharan K., et al., An analysis of environment effect on ethanol blends with plastic fuel and blend optimization using a full factorial design. Scientific Reports, 2022, 12: 21719.
[10] Padmanabhan S., Giridharan K., Stalin B., et al., Energy recovery of waste plastics into diesel fuel with ethanol and ethoxy ethyl acetate additives on circular economy strategy. Scientific Reports, 2022, 12: 5330.
[11] Mangesh V.L., Tamizhdurai P., Krishnan P.S., et al., Green energy: hydroprocessing waste polypropylene to produce transport fuel. Journal of Cleaner Production, 2020, 276: 124200.
[12] Mangesh V.L., Tamizhdurai P., Subramanian S., et al., Clean energy from plastic: production of hydroprocessed waste polypropylene pyrolysis oil utilizing a Ni−Mo/Laponite catalyst. Energy Fuels, 2020, 34(07): 8824–8836.
[13] Liu B.Y., Zhou H.L., Xia F.F., et al., Technology research and commercialization review for waste plastics to fuel. Chemical Industry and Engineering Progress, 2017, 36(S1): 416–427.
[14] Zhang T.T., Bai Z.Q., Hou R.R., et al., Research progress on co-pyrolysis characteristics of coal and waste plastics. Chemical Industry and Engineering Progress, 2021, 40(5): 2461–2470.
[15] Zhou L.M., Wang Y.P., Huang Q.W., et al., Thermogravimetric analysis and kinetics of coal/plastic co-pyrolysis. Journal of Combustion Science and Technology, 2008, 14(2): 132–136.
[16] Melendi-Espina S., Alvarez R., Diez M.A., et al., Coal and plastic waste co-pyrolysis by thermal analysis–mass spectrometry. Fuel Processing Technology, 2015, 137: 351–358.
[17] Zhang K.Y., Wu Y.F., Wang D.C., et al., Synergistic effect of co-pyrolysis of pre-dechlorination treated PVC residue and Pingshuo coal. Journal of Fuel Chemistry and Technology, 2021, 49(8): 1086–1094.
[18] Havelcová M., Bičáková O., Sýkorová I., et al., Characterization of products from pyrolysis of coal with the addition of polyethylene terephthalate. Fuel Processing Technology, 2016, 154: 123–131.
[19] Sinag A., Sungur M., Gullu A., et al., Characterization of the liquid phase obtained by copyrolysis of Mustafa Kemal Paşa (M.K.P.) lignite (Turkey) with low density polyethylene. Energy & Fuels, 2006, 20(5): 2093–2098.
[20] Liao H.Q., Li B.Q., Liu L., et al., Co-pyrolysis of coal and waste plastics under different reactivity gases. Coal Conversion, 1998, 21(4): 62–66.
[21] Li Y.F., Zhong W.Q., Zhou G.W., Synergistic effect and product distribution of co-pyrolysis of coal and waste plastics. Journal of Southeast University (Natural Science Edition), 2023, 53(04): 733–740.
[22] Chen M., MATLAB neural network principles and case analysis, first ed, Tsinghua University Press, Beijing, 2013.
[23] Ahmad A., Yadav A.K., Singh A., Application of machine learning and genetic algorithms to the prediction and optimization of biodiesel yield from waste cooking oil. Korean Journal of Chemical Engineering, 2023, 40(12): 2941–2956.
[24] Qiao J.W., Wang C.J., Zhao H.C., et al., A method for predicting the tar yield of tar-rich coals based on the BP neural network using multiple indicators of coal petrography and coal quality. Coal Geology & Exploration, 2024, 52(07): 108–118.
[25] Liu Y., Xu D., Tan M., A genetic algorithm based artificial neural network approach for parameter selection of laser cutting. Manufacturing Automation, 2006, 28(12): 20–22, 64.
[26] Alabdrabalnabi A., Gautam R., Sarathy S.M., Machine learning to predict biochar and bio-oil yields from co-pyrolysis of biomass and plastics. Fuel, 2022, 328: 125303.
[27] Zhao C.X., Lu X.Y., Jiang Z.H., Prediction of bio-oil yield by machine learning model based on “enhanced data” training. Renewable Energy, 2024, 225: 120218.
[28] Belden E.R., Rando M., Ferrara O.G., et al., Machine learning predictions of oil yields obtained by plastic pyrolysis and application to thermodynamic analysis. ACS Engineering, 2023, 3(2): 91–101.
[29] Kourou K., Exarchos T.P., Exarchos K.P., et al., Machine learning applications in cancer prognosis and prediction. Computational and Structural Biotechnology Journal, 2014, 13: 8–17.
[30] Li X.Y., Pyrolysis and co-pyrolysis of coal with PE and PP. Dalian University of Technology, Dalian, China, 2008.
[31] Qian Y.F., Product distribution and chlorine migration in co-pyrolysis of coal and polyvinyl chloride. Dalian University of Technology, Dalian, China, 2014.
[32] Yang N.N., Pyrolysis and co-pyrolysis of hesgewula lignite with polyethylene and polyester. Dalian University of Technology, Dalian, China, 2021.
[33] Zhao X.H., Experimental study on co-pyrolysis characteristics of waste plastics and lean coal. Dalian University of Technology, Dalian, China, 2022.
[34] Yılgın M., Duranay N.D., Pehlivan D., Co-pyrolysis of lignite and sugar beet pulp. Energy Conversion and Management, 2009, 51(5): 1060–1064.
[35] Gu C.H., Wang X.H., Song Q.S., et al., Prediction of distribution law of solid waste pyrolysis products based on BP neural network. Journal of Combustion Science and Technology, 2022, 28(02): 133–140.
[36] Zhang H., Wang Q.J., Zhu J.J., et al., Influence of sample data preprocessing on BP neural network-based GPS elevation fitting. Journal of Geodesy and Geodynamics, 2011, 31(02): 125–128.
[37] Zhu Q.S., Zhou D.D., Huang W., Application research of preprocess in BP neural network sample data. World Sci-Tech R & D, 2012, 34(04): 624–626.
[38] Liu H.M., Wang H.Q., Li X., A study on data normalization for target recognition based on RPROP algorithm. Modern Radar, 2009, 31(05): 55–60.
[39] Xie L.C., Research on the pyrolysis characteristics of coal and the melting characteristics of coal ash based on BP neural network. Northwest University, Shanxi, China, 2018.
[40] Jiang C.L., Zhou W.L., Bi H.B., et al., Co-pyrolysis of coal slime and cattle manure by TG-FTIR-MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics. Energy, 2022, 247: 123203.
[41] Zhang X., Wang L.B., Pei X.F., et al., Research progress and key technology of improving coal tar yield and quality by coal pyrolysis. Coal Science and Technology, 2019, 47(03): 227–233.
[42] Wu Y.F., Wang G.J., Zhu J.L., et al., Insight into the synergistic effect of co-pyrolysis of low-rank coal and waste polyethylene with or without additives using rapid infrared heating. Journal of the Energy Institute, 2022, 102: 384–394.
[43] Gayo F., García R., Diez M.A., Modelling the Gieseler fluidity of coking coals modified by multicomponent plastic wastes. Fuel, 2016, 165: 134–144.
