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<p>This study presents a comprehensive 2D simulation of biomass pyrolysis in a fixed-bed reactor using COMSOL Multiphysics, focusing on the interplay of thermal, kinetic, and flow dynamics to optimize bio-oil production. Key operational parameters—such as initial biomass temperature, heat source temperature, heating rate, particle size, carrier gas velocity, and reactor radius—were systematically varied to identify conditions that maximize fuel yield and energy efficiency. The results indicated that a reactor radius of 0.2&#xa0;m, an initial temperature of 450&#xa0;°C, a heat source temperature of 650&#xa0;°C, and a heating rate of 40&#xa0;°C/min yielded the highest bio-oil output. Medium-sized biomass particles (0.6–1.1&#xa0;mg) demonstrated superior conversion performance by balancing heat transfer and reaction kinetics. Furthermore, co-pyrolysis with PMMA and starch significantly enhanced the liquid product yield, suggesting a promising route for integrating waste polymers and biopolymers into pyrolysis feedstocks. The novelty of this work lies in the integrated modeling of heat transfer, reaction kinetics, and co-pyrolysis behavior within a single simulation framework—a rarely reported approach in the literature. This modeling strategy offers a scalable, predictive tool for reactor design and process optimization, with potential extensions to hybrid systems such as catalytic or microwave-assisted pyrolysis, aligning with the goals of green chemistry, circular economy, and renewable energy innovation.</p>

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Modeling of the pyrolysis process for fuel production from biomass in a batch reactor using COMSOL software

  • 期刊论文

  • 发表日期：

    2025年8月15日

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  • V. Pirouzfar,
  • A. Bitama

摘要

This study presents a comprehensive 2D simulation of biomass pyrolysis in a fixed-bed reactor using COMSOL Multiphysics, focusing on the interplay of thermal, kinetic, and flow dynamics to optimize bio-oil production. Key operational parameters—such as initial biomass temperature, heat source temperature, heating rate, particle size, carrier gas velocity, and reactor radius—were systematically varied to identify conditions that maximize fuel yield and energy efficiency. The results indicated that a reactor radius of 0.2 m, an initial temperature of 450 °C, a heat source temperature of 650 °C, and a heating rate of 40 °C/min yielded the highest bio-oil output. Medium-sized biomass particles (0.6–1.1 mg) demonstrated superior conversion performance by balancing heat transfer and reaction kinetics. Furthermore, co-pyrolysis with PMMA and starch significantly enhanced the liquid product yield, suggesting a promising route for integrating waste polymers and biopolymers into pyrolysis feedstocks. The novelty of this work lies in the integrated modeling of heat transfer, reaction kinetics, and co-pyrolysis behavior within a single simulation framework—a rarely reported approach in the literature. This modeling strategy offers a scalable, predictive tool for reactor design and process optimization, with potential extensions to hybrid systems such as catalytic or microwave-assisted pyrolysis, aligning with the goals of green chemistry, circular economy, and renewable energy innovation.