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A Bibliometric and Literature-Based Overview of Biomass Pre-treatment and Conversion Technologies Modelling with Aspen Software Cover

A Bibliometric and Literature-Based Overview of Biomass Pre-treatment and Conversion Technologies Modelling with Aspen Software

Open Access
|Nov 2025

Abstract

Biomass is central to carbon-neutral energy systems, yet its heterogeneity and low bulk density hinder efficient conversion. Pre-treatment operations (drying, size reduction, torrefaction, and densification) are essential for stabilizing feedstock properties and enhancing conversion performance. This study examines how these stages are represented in Aspen Plus models and identifies methodological gaps through bibliometric and literature analyses. Performance analysis shows that most Aspen-based studies focus on gasification and pyrolysis, while explicit modelling of pre-treatment remains limited. Examination of thirteen representative papers confirms that biomass is typically assumed to be an already pre-treated input, despite the strong influence of feedstock characteristics on reactor behaviour, energy efficiency, and emissions. Scientific mapping highlights active collaboration among European countries but limited representation from the Baltic region. Three potential improvement scenarios for a Latvian pellet plant demonstrate how Aspen Plus can link feedstock properties with technical and economic performance, supporting the optimization of pelletisation and pre-treatment processes crucial for advancing sustainable bioenergy systems.

DOI: https://doi.org/10.2478/rtuect-2025-0059 | Journal eISSN: 2255-8837 | Journal ISSN: 1691-5208
Language: English
Page range: 880 - 898
Submitted on: Apr 3, 2025
Accepted on: Nov 5, 2025
Published on: Nov 28, 2025
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 Oskars Svedovs, Edgars Vīgants, Haralds Siktars, Vladimirs Kirsanovs, Dagnija Blumberga, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.