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Updated: Dec 18, 2025

Biomass Conversion to Produce Hydrocarbon Liquid Fuel Via Hot-vapor Filtered Fast Pyrolysis and Catalytic Hydrotreating
Published on: December 25, 2016
Modeling kinetics and transport phenomena during multi-stage tire wastes pyrolysis using Comsol®
Besma Khiari1, Sana Kordoghli2, Daoud Mihoubi3
1Research Laboratory for Sciences and Technologies of Environment, High Institute of Sciences and Technologies of Environment, Borj Cedria Technopark, Hammam Lif, Tunisia.
Modeling used tire pyrolysis predicts mass and heat loss, identifying exothermic reactions for energy recovery. Smaller particle sizes accelerate heat transfer but may increase overall energy demand.
Area of Science:
- Chemical Engineering
- Materials Science
Background:
- Pyrolysis of used tires is a complex process with potential for energy recovery.
- Understanding mass and heat transfer is crucial for optimizing pyrolysis reactor design and operation.
Purpose of the Study:
- To develop a model predicting mass and heat loss profiles during used tire pyrolysis.
- To analyze the impact of reaction kinetics and thermal balances on the process.
- To investigate the role of exothermic reactions and particle size on energy efficiency.
Main Methods:
- Mathematical modeling of thermal balances and reaction kinetics.
- Resolution of differential equations to simulate heat variation within a fixed bed reactor.
- Comparison of theoretical modeling results with experimental data and literature findings.
Main Results:
- The model accurately predicts heat and mass loss profiles, showing satisfactory agreement with experimental results.
- Significant exothermic reactions were identified, with center particle exothermic heat exceeding 1500 kJ/kg.
- Smaller particle sizes enhance heat transfer and reduce process time but can increase endothermic reaction energy consumption.
Conclusions:
- The developed model provides a reliable tool for predicting used tire pyrolysis behavior.
- Exothermic reactions offer significant economic and energetic benefits.
- Optimizing particle size is key to balancing process efficiency and energy consumption.
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