Numerical investigation of reverse smouldering in a packed bed of biomass particles

Rouanet, Arnaud;Álvarez-Bermúdez, César;Chapela, Sergio;Porteiro, Jacobo;Jeanmart, Hervé
(2025) Biomass & Bioenergy — Vol. 201, p. 108033 (2025)

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  • Rouanet, Arnaudorcid-logoInstitute of Mechanics, Materials and Civil Engineering, Université catholique de Louvain, Place du Levant 2, 1348, Louvain-la-Neuve, Belgium
    Author
  • Álvarez-Bermúdez, Césarorcid-logoCINTECX, Universidade de Vigo, Grupo de Tecnología Energética (GTE), 36310, Vigo, Spain
    Author
  • Chapela, Sergioorcid-logoCINTECX, Universidade de Vigo, Grupo de Tecnología Energética (GTE), 36310, Vigo, Spain
    Author
  • Porteiro, Jacoboorcid-logoCINTECX, Universidade de Vigo, Grupo de Tecnología Energética (GTE), 36310, Vigo, Spain
    Author
  • Jeanmart, Hervéorcid-logoUCLouvain, Louvain-la-Neuve, Belgium
    Author
Abstract
This study presents a novel numerical framework for modelling reverse smouldering in a packed bed of biomass particles, relevant to the pyrolysis zone of a two-stage downdraft gasifier. The method couples a three-dimensional CFD model of the biomass bed (EBiTCoM) with a detailed two-dimensional single-particle pyrolysis model (SPY), enabling the integration of intra-particle gradients and multi-step devolatilisation kinetics. Simulations reproduce key smouldering dynamics, including front propagation, oxidation, and char yield, under varying air and oxygen flow conditions. The model predicts an ignition rate of 32.9 g/m2/s, underestimating experimental values by approximately 18%. The peak temperature of the smouldering front reaches 619°C (compared to experimental peaks of 570–650°C), with a front thickness of 2.4 cm versus the 8–24 cm range observed in experiments. Parametric studies show that substituting air with pure oxygen accelerates the front by over 100%, aligning with literature trends. Despite simplifications — such as using a single representative particle trajectory and omitting steam effects — the model effectively captures key mechanisms governing smouldering propagation and gas composition. This approach enhances our understanding of biomass conversion under oxygen-limited conditions and supports the development of predictive tools for gasifier optimisation.
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Rouanet, A., Álvarez-Bermúdez, C., Chapela, S., Porteiro, J., & Jeanmart, H. (2025). Numerical investigation of reverse smouldering in a packed bed of biomass particles. Biomass & Bioenergy, 201, 108033. https://doi.org/10.1016/j.biombioe.2025.108033 (Original work published 2025)