IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v194y2022icp359-365.html
   My bibliography  Save this article

Artificial neural network model of co-gasification of petroleum coke with coal or biomass in bubbling fluidized bed

Author

Listed:
  • Kang, Jun
  • Zhao, Lihui
  • Li, Weiwei
  • Song, Yuncai

Abstract

Co-gasification of petroleum coke (petcoke) with coal or biomass in fluidized bed is a promising way to avoid environmentally problems caused by its discharge. To give more accurately prediction in this process, feed-forward back propagation neural network (FFBPNN) with three optimization algorithms were conducted, including Levenberge Marquardt (LM), genetic algorithm (GA) and particle swarm optimization (PSO). The input parameters in the ANN model were petcoke ratio (W), equivalence ratio (ER), steam flow rate (S), particle diameter (Dp), volatiles (V), and fixed carbon (FC). And the output data were carbon conversion (X), ratio of H2/CO, LHV of syngas and gas yield (Q). The predicted data showed a good agreement with the experimental results. The PSO showed much better performances than those of LM and GA. With ER increased, the predicted X increased and the ratio of H2/CO decreased. But they were almost no changed with Dp increased. The contributive ratio of W was the largest (0.37) at petcoke ratio of 20%. The contributive ratio of ER increased not the same ratio as ER increased. The contributive ratio of particle size (Dp) almost not changed with Dp increased.

Suggested Citation

  • Kang, Jun & Zhao, Lihui & Li, Weiwei & Song, Yuncai, 2022. "Artificial neural network model of co-gasification of petroleum coke with coal or biomass in bubbling fluidized bed," Renewable Energy, Elsevier, vol. 194(C), pages 359-365.
    • Handle: RePEc:eee:renene:v:194:y:2022:i:c:p:359-365
    DOI: 10.1016/j.renene.2022.05.096
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122007431
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.05.096?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhan, Xiuli & Zhou, ZhiJie & Wang, Fuchen, 2010. "Catalytic effect of black liquor on the gasification reactivity of petroleum coke," Applied Energy, Elsevier, vol. 87(5), pages 1710-1715, May.
    2. Zhang, Yuming & Yao, Meiqin & Gao, Shiqiu & Sun, Guogang & Xu, Guangwen, 2015. "Reactivity and kinetics for steam gasification of petroleum coke blended with black liquor in a micro fluidized bed," Applied Energy, Elsevier, vol. 160(C), pages 820-828.
    3. Javier Fermoso & Borja Arias & Behdad Moghtaderi & Covadonga Pevida & Marta G. Plaza & Jose J. Pis & Fernando Rubiera, 2012. "Effect of co‐gasification of biomass and petroleum coke with coal on the production of gases," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 2(4), pages 304-313, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wei, Juntao & Guo, Qinghua & Gong, Yan & Ding, Lu & Yu, Guangsuo, 2020. "Effect of biomass leachates on structure evolution and reactivity characteristic of petroleum coke gasification," Renewable Energy, Elsevier, vol. 155(C), pages 111-120.
    2. Imai, Akihisa & Hardi, Flabianus & Lundqvist, Petter & Furusjö, Erik & Kirtania, Kawnish & Karagöz, Selhan & Tekin, Kubilay & Yoshikawa, Kunio, 2018. "Alkali-catalyzed hydrothermal treatment of sawdust for production of a potential feedstock for catalytic gasification," Applied Energy, Elsevier, vol. 231(C), pages 594-599.
    3. Wei, Juntao & Guo, Qinghua & Ding, Lu & Yoshikawa, Kunio & Yu, Guangsuo, 2017. "Synergy mechanism analysis of petroleum coke and municipal solid waste (MSW)-derived hydrochar co-gasification," Applied Energy, Elsevier, vol. 206(C), pages 1354-1363.
    4. Darmawan, Arif & Hardi, Flabianus & Yoshikawa, Kunio & Aziz, Muhammad & Tokimatsu, Koji, 2017. "Enhanced process integration of black liquor evaporation, gasification, and combined cycle," Applied Energy, Elsevier, vol. 204(C), pages 1035-1042.
    5. Chen, Wei-Hsin & Chen, Chih-Jung & Hung, Chen-I & Shen, Cheng-Hsien & Hsu, Heng-Wen, 2013. "A comparison of gasification phenomena among raw biomass, torrefied biomass and coal in an entrained-flow reactor," Applied Energy, Elsevier, vol. 112(C), pages 421-430.
    6. Chen, Zhengjie & Ma, Wenhui & Wu, Jijun & Wei, Kuixian & Yang, Xi & Lv, Guoqiang & Xie, Keqiang & Yu, Jie, 2016. "Influence of carbothermic reduction on submerged arc furnace energy efficiency during silicon production," Energy, Elsevier, vol. 116(P1), pages 687-693.
    7. Zhu, Yao & Wang, Qinhui & Li, Kaikun & Cen, Jianmeng & Fang, Mengxiang & Ying, Chengdong, 2022. "Study on pressurized isothermal pyrolysis characteristics of low-rank coal in a pressurized micro-fluidized bed reaction analyzer," Energy, Elsevier, vol. 240(C).
    8. Carvalho, Lara & Lundgren, Joakim & Wetterlund, Elisabeth & Wolf, Jens & Furusjö, Erik, 2018. "Methanol production via black liquor co-gasification with expanded raw material base – Techno-economic assessment," Applied Energy, Elsevier, vol. 225(C), pages 570-584.
    9. Guo, Da-liang & Wu, Shu-bin & Liu, Bei & Yin, Xiu-li & Yang, Qing, 2012. "Catalytic effects of NaOH and Na2CO3 additives on alkali lignin pyrolysis and gasification," Applied Energy, Elsevier, vol. 95(C), pages 22-30.
    10. Shahbaz, Muhammad & Yusup, Suzana & Inayat, Abrar & Patrick, David Onoja & Pratama, Angga, 2016. "Application of response surface methodology to investigate the effect of different variables on conversion of palm kernel shell in steam gasification using coal bottom ash," Applied Energy, Elsevier, vol. 184(C), pages 1306-1315.
    11. Korus, Agnieszka & Klimanek, Adam & Sładek, Sławomir & Szlęk, Andrzej & Tilland, Airy & Bertholin, Stéphane & Haugen, Nils Erland L., 2021. "Kinetic parameters of petroleum coke gasification for modelling chemical-looping combustion systems," Energy, Elsevier, vol. 232(C).
    12. Karczewski, Mateusz & Porada, Stanisław, 2023. "Physically mixed black liquor as a catalytic additive for pressurised steam gasification of different rank bituminous coals," Energy, Elsevier, vol. 263(PB).
    13. Zhang, Yuming & Yao, Meiqin & Gao, Shiqiu & Sun, Guogang & Xu, Guangwen, 2015. "Reactivity and kinetics for steam gasification of petroleum coke blended with black liquor in a micro fluidized bed," Applied Energy, Elsevier, vol. 160(C), pages 820-828.
    14. Zhang, Qian & Li, Qingfeng & Zhang, Linxian & Wang, Zhiqing & Jing, Xuliang & Yu, Zhongliang & Song, Shuangshuang & Fang, Yitian, 2014. "Preliminary study on co-gasification behavior of deoiled asphalt with coal and biomass," Applied Energy, Elsevier, vol. 132(C), pages 426-434.
    15. Wang, Guangwei & Zhang, Jianliang & Zhang, Guohua & Ning, Xiaojun & Li, Xinyu & Liu, Zhengjian & Guo, Jian, 2017. "Experimental and kinetic studies on co-gasification of petroleum coke and biomass char blends," Energy, Elsevier, vol. 131(C), pages 27-40.
    16. Lahijani, Pooya & Zainal, Zainal Alimuddin & Mohammadi, Maedeh & Mohamed, Abdul Rahman, 2015. "Conversion of the greenhouse gas CO2 to the fuel gas CO via the Boudouard reaction: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 615-632.
    17. Shahbaz, Muhammad & Al-Ansari, Tareq & Inayat, Muddasser & Sulaiman, Shaharin A. & Parthasarathy, Prakash & McKay, Gordon, 2020. "A critical review on the influence of process parameters in catalytic co-gasification: Current performance and challenges for a future prospectus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    18. Zhang, Yuming & Yu, Deping & Li, Wangliang & Gao, Shiqiu & Xu, Guangwen & Zhou, Huaqun & Chen, Jing, 2013. "Fundamental study of cracking gasification process for comprehensive utilization of vacuum residue," Applied Energy, Elsevier, vol. 112(C), pages 1318-1325.
    19. He, Qing & Yu, Junqin & Song, Xudong & Ding, Lu & Wei, Juntao & Yu, Guangsuo, 2020. "Utilization of biomass ash for upgrading petroleum coke gasification: Effect of soluble and insoluble components," Energy, Elsevier, vol. 192(C).
    20. Wang, Lulu & Feng, Xuan & Shen, Laihong & Jiang, Shouxi & Gu, Haiming, 2019. "Carbon and sulfur conversion of petroleum coke in the chemical looping gasification process," Energy, Elsevier, vol. 179(C), pages 1205-1216.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:194:y:2022:i:c:p:359-365. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.