JOURNAL ARTICLE
Catalytic pyrolysis of green algae: Influence of catalysts on thermal degradation behavior and product distribution.
Published In: Biofuels, Bioproducts & Biorefining, 2025, v. 19, n. 6. P. 1904 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ram, Shri; Ku, Xiaoke; Vasudev, Vikul 3 of 3
Abstract
The catalytic pyrolysis of green algae (GA) was conducted using both a thermogravimetric analyzer and a horizontal tube reactor. Five catalysts – biochar, potassium hydroxide (KOH), sodium hydroxide (NaOH), ethylene glycol dimethyl ether (EGDE), and Zeolite Socony Mobil‐5 (ZSM) – were tested. Kinetic analysis was performed using the Friedman method to estimate activation energy, and the master plot method, combined with regression analysis, was employed to determine a suitable reaction model. The pyrolysis products were quantitatively characterized. The results showed that the presence of catalysts influenced the kinetic parameters and product yields. Activation energy values for the noncatalytic GA sample ranged from 124.92 to 299.39 kJ mol−1, whereas catalytic samples exhibited a broader range of 110.79 to 358.30 kJ mol−1. The use of catalysts generally increased solid and liquid yields, and this was accompanied by a decline in gas yield. The volumetric yield of gaseous components generally increased with temperature. Among these gases, CO2 had the highest volumetric yield, followed by CO, CH4, H2, and C3H6. These results highlight the role of catalysts in influencing the pyrolysis process and product yields. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Biofuels, Bioproducts & Biorefining. 2025/11, Vol. 19, Issue 6, p1904
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2025
- ISSN:1932-104X
- DOI:10.1002/bbb.2791
- Accession Number:189332558
- Copyright Statement:Copyright of Biofuels, Bioproducts & Biorefining is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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