IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i14p3571-d1439372.html
   My bibliography  Save this article

Biomass Moving Bed Combustion Analysis via Two-Way Coupling of Solid–Fluid Interactions Using Discrete Element Method and Computational Fluid Dynamics Method

Author

Listed:
  • Izabela Wardach-Świȩcicka

    (Renewable Energy Department, The Szewalski Institute of Fluid-Flow Machinery Polish Academy of Sciences, Fiszera 14 St., PL-80231 Gdańsk, Poland
    These authors contributed equally to this work.)

  • Dariusz Kardaś

    (Renewable Energy Department, The Szewalski Institute of Fluid-Flow Machinery Polish Academy of Sciences, Fiszera 14 St., PL-80231 Gdańsk, Poland
    These authors contributed equally to this work.)

Abstract

Nowadays, almost all countries in the world are intensifying their search for locally available energy sources to become independent of external supplies. The production of alternative fuels from biomass and waste by thermal treatment or direct use in the combustion process is still the simplest method for fast and cheap heat production. However, the different characteristics of these fuels can cause problems in the operation of the plants, resulting in increased air pollution. Therefore, the analysis of the thermal treatment of solid fuels is still an important issue from a practical point of view. This work aimed to study biomass combustion in a small-scale reactor using the in-house Extended DEM (XDEM) method based on mixed Lagrangian–Eulerian approaches. This was provided by a novel, independently developed coupling computational interface. This interface allows for a seamless integration between CFD and DEM, improving computational efficiency and accuracy. In addition, significant advances have been made in the underlying physical models. Within the DEM framework, each particle undergoes the thermochemical processes, allowing for the prediction of its shape and structural changes during heating. Together, these changes contribute to a more robust and reliable simulation tool capable of providing detailed insights into complex multi-phase flows and granular material behavior. Numerical results were obtained for a non-typical geometry to check the influence of the walls on the distribution of the parameters in the reactor. The results show that XDEM is a very good tool for predicting the phenomena during the thermal treatment of solid fuels. In particular, it provides information about all the moving particles undergoing chemical reactions, which is very difficult to obtain from measurements.

Suggested Citation

  • Izabela Wardach-Świȩcicka & Dariusz Kardaś, 2024. "Biomass Moving Bed Combustion Analysis via Two-Way Coupling of Solid–Fluid Interactions Using Discrete Element Method and Computational Fluid Dynamics Method," Energies, MDPI, vol. 17(14), pages 1-26, July.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3571-:d:1439372
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/14/3571/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/14/3571/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huaqing Ma & Xiuhao Xia & Lianyong Zhou & Chao Xu & Zihan Liu & Tao Song & Guobin Zou & Yanlei Liu & Ze Huang & Xiaoling Liao & Yongzhi Zhao, 2023. "A Comparative Study of the Performance of Different Particle Models in Simulating Particle Charging and Burden Distribution in a Blast Furnace within the DEM Framework," Energies, MDPI, vol. 16(9), pages 1-21, May.
    2. Genevieve Soon & Hui Zhang & Adrian Wing-Keung Law & Chun Yang, 2023. "Computational Modelling on Gasification Processes of Municipal Solid Wastes Including Molten Slag," Waste, MDPI, vol. 1(2), pages 1-19, April.
    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. Sylwia Polesek-Karczewska & Paulina Hercel & Behrouz Adibimanesh & Izabela Wardach-Świȩcicka, 2024. "Towards Sustainable Biomass Conversion Technologies: A Review of Mathematical Modeling Approaches," Sustainability, MDPI, vol. 16(19), pages 1-43, October.
    2. Igor Litvinchev & Andreas Fischer & Tetyana Romanova & Petro Stetsyuk, 2024. "A New Class of Irregular Packing Problems Reducible to Sphere Packing in Arbitrary Norms," Mathematics, MDPI, vol. 12(7), pages 1-17, March.

    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:gam:jeners:v:17:y:2024:i:14:p:3571-:d:1439372. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.