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Pyrolysis of blend (oil palm biomass and sawdust) biomass using TG-MS

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Feb 2019Publisher:Elsevier BVJournal:Bioresource Technology, volume 274, pages 439-446 (issn: 0960-8524,

Authors: Yong Kuan Shang; Ryan Man Wai Ting; Arshad Adam Salema;

doi: 10.1016/j.biortech.2018.12.014

pmid: 30553084

Pyrolysis of blend (oil palm biomass and sawdust) biomass using TG-MS

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Abstract

The aim of this study was to pyrolyze individual (oil palm shell, empty fruit bunch and sawdust) as well as blend biomass in a thermogravimetric mass spectrometry (TG-MS) from room temperature to 800 °C at constant heating rate of 15 °C/min. The results showed that the onset TG temperature for blend biomass shifted slightly to lower values. Activation energy values were also found to decrease slightly after blending the biomass. Interestingly, the MS spectra of selected gases (H2O CH4, H2O, C2H2, C2H4 or CO, CH2O, CH3OH, HCl, C3H6, CO2, HCOOH, and C6H12) evolved from blend biomass showed decreased in the intensity as compared to their individual biomass. Overall, the blend biomass showed synergy which provides ways to expand the possibility of utilizing multiple feedstocks in one thermo-chemical system.

Related Organizations

Monash University Malaysia
Malaysia
Monash University Malaysia
Malaysia

Keywords

Kinetics, Thermogravimetry, Temperature, Biomass, Palm Oil, Wood, Mass Spectrometry, Pyrolysis

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	92
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%