Comparative Gasification Performance of Cassava Stems, Bagasse, and Sengon Sawdust

Jurnal Teknik Kimia dan Lingkungan, 2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.33795/jtkl.v10i2.10009
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Biomass gasification offers a promising route for converting agricultural and forestry residues into syngas fuel, yet comparative studies evaluating multiple feedstocks under matched reactor conditions remain limited. This study presents new experimental gasification data for cassava stems and sugarcane bagasse, obtained using a laboratory-scale fixed-bed reactor, and compares these results against previously reported sengon sawdust data [33] collected under the identical reactor configuration and operating conditions, enabling a directly comparable three-feedstock evaluation. Results show that cassava stems achieved the highest average syngas yield (approximately 75.54%). At the same time, bagasse and sengon sawdust exhibited distinct syngas composition profiles, with bagasse has highest CO — 9.294 vol% and sengon sawdust producing 16.28 vol% of CO. Hydrogen concentration varied across feedstocks and process duration, with bagasse showing the highest H2 concentration (7.21 vol%) followed by sengon sawdust (5.45 vol%) and cassava stems (5.33 vol%). These findings indicate that feedstock type significantly influences gasification performance and syngas quality, providing a basis for feedstock selection in small-scale gasification applications.