(2025) Biomass & Bioenergy — Vol. 201, p. 108033 (2025)
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Rouanet, ArnaudInstitute of Mechanics, Materials and Civil Engineering, Université catholique de Louvain, Place du Levant 2, 1348, Louvain-la-Neuve, Belgium
Author
Álvarez-Bermúdez, CésarCINTECX, Universidade de Vigo, Grupo de Tecnología Energética (GTE), 36310, Vigo, Spain
Author
Chapela, SergioCINTECX, Universidade de Vigo, Grupo de Tecnología Energética (GTE), 36310, Vigo, Spain
Author
Porteiro, JacoboCINTECX, Universidade de Vigo, Grupo de Tecnología Energética (GTE), 36310, Vigo, Spain
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.
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)