IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v289y2024ics0360544223033741.html
   My bibliography  Save this article

Modeling soot filter regeneration process through surface-reactive flow in porous media using iterative lattice Boltzmann method

Author

Listed:
  • Alamian, R.
  • Sawaf, M.
  • Stockinger, C.
  • Hadjadj, A.
  • Latt, J.
  • Shadloo, M.S.

Abstract

In this research, we utilized the Lattice Boltzmann Method (LBM) to model surface chemical reactions and the heat transfer occurring between gas and solid materials within porous media. Our comprehensive approach involved a detailed analysis of fluid flow dynamics, heat transfer mechanisms, and the complex behavior of reactive species. To ensure precise modeling, we employed the thermal counter-slip method to represent heat transfer and carefully chose the wet node scheme to manage surface chemical reactions and species transfer. We placed significant emphasis on methodically explaining our selected models and providing practical guidelines for their implementation, as well as establishing initial and boundary conditions. An essential part of our study was investigating the influence of specific physical parameters governing these processes, including the Péclet, Damköhler, and Prandtl numbers. Consequently, we successfully identified various combustion regimes and elucidated the roles played by chemical reaction rates, diffusion, and convection processes within each of these regimes.

Suggested Citation

  • Alamian, R. & Sawaf, M. & Stockinger, C. & Hadjadj, A. & Latt, J. & Shadloo, M.S., 2024. "Modeling soot filter regeneration process through surface-reactive flow in porous media using iterative lattice Boltzmann method," Energy, Elsevier, vol. 289(C).
    • Handle: RePEc:eee:energy:v:289:y:2024:i:c:s0360544223033741
    DOI: 10.1016/j.energy.2023.129980
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223033741
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129980?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. Zhao, Xiaohuan & Jiang, Jiang & Zuo, Hongyan & Jia, Guohai, 2023. "Soot combustion characteristics of oxygen concentration and regeneration temperature effect on continuous pulsation regeneration in diesel particulate filter for heavy-duty truck," Energy, Elsevier, vol. 264(C).
    2. Zhao, Xiaohuan & Zuo, Hongyan & Jia, Guohai, 2022. "Effect analysis on pressure sensitivity performance of diesel particulate filter for heavy-duty truck diesel engine by the nonlinear soot regeneration combustion pressure model," Energy, Elsevier, vol. 257(C).
    3. Q. Li & Y. L. He & Y. Wang & G. H. Tang, 2008. "An Improved Thermal Lattice Boltzmann Model For Flows Without Viscous Heat Dissipation And Compression Work," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 125-150.
    4. Yan, Min & Zhou, Ming & Li, Shugang & Lin, Haifei & Zhang, Kunyin & Zhang, Binbin & Shu, Chi-Min, 2021. "Numerical investigation on the influence of micropore structure characteristics on gas seepage in coal with lattice Boltzmann method," Energy, Elsevier, vol. 230(C).
    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. Zhao, Xiaohuan & Jiang, Jiang & Zuo, Hongyan & Mao, Zhengsong, 2023. "Performance analysis of diesel particulate filter thermoelectric conversion mobile energy storage system under engine conditions of low-speed and light-load," Energy, Elsevier, vol. 282(C).
    2. Zha, Yunfei & Meng, Xianfeng & Qin, Shuaishuai & Hou, Nairen & He, Shunquan & Huang, Caiyuan & Zuo, Hongyan & Zhao, Xiaohuan, 2023. "Performance evaluation with orthogonal experiment method of drop contact heat dissipation effects on electric vehicle lithium-ion battery," Energy, Elsevier, vol. 271(C).
    3. Zhao, Xiaohuan & Jiang, Jiang & Mao, Zhengsong, 2023. "Effect of filter material and porosity on the energy storage capacity characteristics of diesel particulate filter thermoelectric conversion mobile energy storage system," Energy, Elsevier, vol. 283(C).
    4. Zha, Yunfei & He, Shunquan & Meng, Xianfeng & Zuo, Hongyan & Zhao, Xiaohuan, 2023. "Heat dissipation performance research between drop contact and immersion contact of lithium-ion battery cooling," Energy, Elsevier, vol. 279(C).
    5. Pang, Mingkun & Zhang, Tianjun & Ji, Xiang & Wu, Jinyu & Song, Shuang, 2022. "Measurement of the coefficient of seepage characteristics in pore-crushed coal bodies around gas extraction boreholes," Energy, Elsevier, vol. 254(PA).
    6. Zhang, Zhiqing & Dong, Rui & Tan, Dongli & Duan, Lin & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Hu, Jingyi & Zhang, Jian & Zhong, Weihuang & Zhao, Ziheng, 2023. "Effect of structural parameters on diesel particulate filter trapping performance of heavy-duty diesel engines based on grey correlation analysis," Energy, Elsevier, vol. 271(C).
    7. Zhao, Xiaohuan & Jiang, Jiang & Zuo, Hongyan & Jia, Guohai, 2023. "Soot combustion characteristics of oxygen concentration and regeneration temperature effect on continuous pulsation regeneration in diesel particulate filter for heavy-duty truck," Energy, Elsevier, vol. 264(C).
    8. Wang, Ziwei & Qin, Yong & Shen, Jian & Li, Teng & Zhang, Xiaoyang & Cai, Ying, 2022. "A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales," Energy, Elsevier, vol. 257(C).
    9. Yongzan, Wen & Guanhua, Ni & Xinyue, Zhang & Yicheng, Zheng & Gang, Wang & Zhenyang, Wang & Qiming, Huang, 2023. "Fine characterization of pore structure of acidified anthracite based on liquid intrusion method and Micro-CT," Energy, Elsevier, vol. 263(PA).
    10. Golsanami, Naser & Jayasuriya, Madusanka N. & Yan, Weichao & Fernando, Shanilka G. & Liu, Xuefeng & Cui, Likai & Zhang, Xuepeng & Yasin, Qamar & Dong, Huaimin & Dong, Xu, 2022. "Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images," Energy, Elsevier, vol. 240(C).
    11. Liu, Qing & He, Ya-Ling, 2015. "Multiple-relaxation-time lattice Boltzmann modeling of incompressible flows in porous media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 215-230.
    12. Zhang, Shuai & Feng, Daili & Shi, Lei & Wang, Li & Jin, Yingai & Tian, Limei & Li, Ziyuan & Wang, Guoyong & Zhao, Lei & Yan, Yuying, 2021. "A review of phase change heat transfer in shape-stabilized phase change materials (ss-PCMs) based on porous supports for thermal energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    13. Wu, Jian & Gan, Yixiang & Shi, Zhang & Huang, Pengyu & Shen, Luming, 2023. "Pore-scale lattice Boltzmann simulation of CO2-CH4 displacement in shale matrix," Energy, Elsevier, vol. 278(PB).
    14. Qiu, Tao & Li, Ning & Lei, Yan & Sang, Hailang & Ma, Xuejian & Liu, Zedu, 2024. "Research on the method of diesel particulate filters carbon load recognition based on deep learning," Energy, Elsevier, vol. 292(C).
    15. Feng, Changling & Deng, Yuanwang & E, Jiaqiang & Han, Dandan & Tan, Yan, 2023. "Effect analysis on hydrocarbon adsorption enhancement of ZSM-5 zeolite modified by transition metal ions in cold start of gasoline engine," Energy, Elsevier, vol. 267(C).
    16. Kumar, Vijay & Choudhary, Akhilesh Kumar, 2024. "Prediction of the Performance and emission characteristics of diesel engine using diphenylamine Antioxidant and ceria nanoparticle additives with biodiesel based on machine learning," Energy, Elsevier, vol. 301(C).
    17. Han, Dandan & Deng, Yuanwang & E, Jiaqiang & Feng, Changling & Tan, Yan, 2023. "Experimental and simulation study on Fe-beta controlling of hydrocarbon emission during cold start of gasoline vehicle world light vehicle test cycle," Energy, Elsevier, vol. 277(C).
    18. Tan, Yan & Kou, Chuanfu & E, Jiaqiang & Feng, Changlin & Han, Dandan, 2024. "Effect of different exhaust parameters on conversion efficiency enhancement of a Pd–Rh three-way catalytic converter for heavy-duty natural gas engines," Energy, Elsevier, vol. 292(C).
    19. Hu, Wenyu & E, Jiaqiang & Han, Dandan & Feng, Changling & Luo, Xiaoyu, 2023. "Investigation on distribution characteristics of convective wind energy from vehicle driving on multi-lane highway," Energy, Elsevier, vol. 271(C).
    20. Ye, Jiahao & Yang, Wenming & Peng, Qingguo & Liu, Haili, 2024. "Improvement and prediction of particles emission from diesel particulate filter based on an integrated artificial neural network," Energy, Elsevier, vol. 294(C).

    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:energy:v:289:y:2024:i:c:s0360544223033741. 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/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.