Kinetic Modeling of Biomass Pyrolysis Processes (2nd Edition)

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Environmental and Green Processes".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 767

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Istituto di Scienze e Tecnologie per l’Energia e la Mobilità Sostenibili (STEMS), National Research Council of Italy (CNR), P.le Tecchio 80, 80125 Napoli,Italy
Interests: pyrolysis, gasification, and combustion of biomass; flammability of synthetic and natural polymers and composite materials; kinetic modelling of biomass pyrolysis and combustion; composition, properties, and reactivity of pyrolysis products (bio-oil and biochar); biomass torrefaction
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Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli “Federico II”, P.le Tecchio 80, 80125 Napoli, Italy
Interests: biomass; thermochemical conversion processes; transport phenomena; computational modeling; biorefinery; response to fire of polymers and composite materials
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Special Issue Information

Dear Colleagues,

Pyrolysis of lignocellulosic biomass is a viable route for producing biofuels and value-added chemicals. A key issue for effective design and operation of the conversion units is the accurate knowledge of the decomposition kinetics. These are to be coupled with the description of transport phenomena to develop advanced computational tools for selecting optimal design and operating conditions. However, the yield and quality of the products are primarily determined by the chemical composition of the feedstock material. In the kinetic analysis, major issues arise from the multicomponent nature of lignocellulosics. The content and nature of the three structural components, namely cellulose, hemicellulose, and lignin, are greatly variable, even within the same plant species, and significant quantities of non-structural components and inorganics may also be present.

The evaluation of pyrolysis or devolatilization kinetics is based on the analysis of experimental data about weight loss characteristics and chemical species formation rates, measured under different thermal conditions and interpreted by means of various modelling approaches (e.g., model-fitting, model-free, DAEM, and analytical). In general, the weight-loss dynamics are determined by the decomposition of the macro-components, but significant overlap, enhanced by the mutual interactions and influences of minor organic and inorganic components, does not allow the different contributions to be precisely identified. Although analyzing the behaviour of isolated components can be useful for identifying the different contributions to devolatilization dynamics, the extraction methods might significantly modify their chemical structure and, consequently, their thermal stability. These issues further complicate the inherent challenges associated with the need to establish kinetic control for measurements, for instance, by means of thermogravimetric systems (TGAs).

Due to the points outlined above, large variations are found in the literature for the kinetic parameters, especially the activation energy, even for the biomass macro-components and standard feedstocks, thus motivating the needed for further research efforts. In this framework, this Special Issue on “Kinetic Modeling of Biomass Pyrolysis Processes (2nd Edition)” aims to collect original studies focussed on determining the intrinsic kinetics of general validity for biomass pyrolysis, accounting for the effects of peculiar chemical compositions, catalysts, pre-treatments, etc.

  • The topics include, but are not limited to, the following:
  • Innovative approaches in kinetic modelling of lignocellulosic materials.
  • Thermal degradation kinetics of lignocellulosic biomass macro-components.
  • Devolatilization behaviour and kinetics of agricultural residues and aquatic biomass.
  • Effects of pretreatments on the thermal degradation kinetics of biomass.

Dr. Carmen Branca
Prof. Dr. Antonio Galgano
Guest Editors

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Keywords

  • biomass
  • pyrolysis
  • devolatilization
  • cellulose
  • hemicellulose
  • lignin
  • reaction kinetics
  • thermogravimetry
  • modelling
  • parametric estimation

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Published Papers (1 paper)

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Research

25 pages, 5366 KB  
Article
Pyrolysis of Persea americana Pruning Residues: Kinetic and Thermodynamic Analyses
by José Alberto Soria-González, José Juan Alvarado-Flores, José Guadalupe Rutiaga-Quiñones, Jorge Víctor Alcaraz-Vera, Rafael Herrera-Bucio, María Liliana Ávalos-Rodríguez, Luís Bernardo López-Sosa and Erandini Guzmán-Mejía
Processes 2025, 13(12), 3993; https://doi.org/10.3390/pr13123993 - 10 Dec 2025
Viewed by 243
Abstract
The transition towards a circular bioeconomy drives the search for sustainable valorization routes for agricultural waste streams. In this context, lignocellulosic residues from avocado tree prunings (Persea americana Mill.), with a reported high extractives content, represent a promising resource for pyrolytic valorization; [...] Read more.
The transition towards a circular bioeconomy drives the search for sustainable valorization routes for agricultural waste streams. In this context, lignocellulosic residues from avocado tree prunings (Persea americana Mill.), with a reported high extractives content, represent a promising resource for pyrolytic valorization; however, their thermal behavior remains scarcely studied. This work characterized the chemical composition of whole branches (including bark) by FTIR and evaluated thermal degradation by thermogravimetric analysis (TGA) at five heating rates (10–30 °C/min) in an inert atmosphere. Kinetic analysis of the TGA data employed Friedman, FWO, KAS, Coats–Redfern, and Kissinger models. The Avrami model determined a reaction order of n ≈ 0.28. Among the methods, Coats–Redfern, applied with this n, provided the most consistent description, achieving the best average fit (R2 ≈ 0.9878) and the narrowest range of pre-exponential factors (1012–1016 s−1). The Friedman model showed greater dispersion (1012–1022 s−1). Average activation energies ranged from 185 to 210 kJ/mol (Kissinger: 171.3 kJ/mol). The thermodynamic parameters confirmed a non-spontaneous, endothermic process (ΔH = 166.4–205.9 kJ/mol; ΔG = 178.8–179.8 kJ/mol). The entropy change (ΔS from –33.8 to 194.1 J/mol·K) reflects the complex solid-to-volatiles transition during pyrolysis. This study establishes a tailored kinetic framework for avocado branch pyrolysis, providing a reliable kinetic description for this biomass and identifying the Avrami–Coats–Redfern method as the most suitable for its accurate modeling. Full article
(This article belongs to the Special Issue Kinetic Modeling of Biomass Pyrolysis Processes (2nd Edition))
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