Thermochemical conversion pathways of Kappaphycus alvarezii granules through study of kinetic models
authors Das, P; Mondal, D; Maiti, S
nationality International
journal BIORESOURCE TECHNOLOGY
author keywords Kappaphycus alvarezii granules as solid fuel; TGA; TG-MS; Kinetic parameters; Thermochemical pathway
keywords HYDROTHERMAL LIQUEFACTION; THERMOGRAVIMETRIC ANALYSIS; PYROLYSIS CHARACTERISTICS; NANNOCHLOROPSIS SP; ACTIVATION-ENERGY; BIOMASS; ALGAE; OIL; MICROALGAE; BIOFUELS
abstract Kappaphycus alvarezii seaweed belongs to the class of red alga (Rhodophyta). The granules obtained after recovery of "sap" (liquid plant stimulant) from freshly harvested alga is a promising biomass feedstock for energy application. Herein we report the kinetic behaviour of the granules using thermogravimetric analysis (TGA) at different heating rates in N-2 atmosphere and thermogravimetric-mass spectrometry (TG-MS) analysis. Sawdust as lignocellulosic biomass is considered for comparative study. Four different kinetic models (i) multilinear regression technique, (ii) Friedman method, (iii) Flynn-Wall-Ozawa (FWO) method and (iv) Kissinger-Akahira-Sunose (KAS) method are used to evaluate the apparent activation energy (E-a), the pre-exponential factor (A alpha) and the overall reaction order (n). Maximum SO2 peak at 300 degrees C and 950 degrees C (from TG-MS), indicates that slow pyrolysis at 500 degrees C, with a packed bed lime scrubber at the outlet during temperature rise, is the best suited thermochemical pathway for energy harnessing. (C) 2017 Elsevier Ltd. All rights reserved.
publisher ELSEVIER SCI LTD
issn 0960-8524
isbn 1873-2976
year published 2017
volume 234
beginning page 233
ending page 242
digital object identifier (doi) 10.1016/j.biortech.2017.03.007
web of science category Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels
subject category Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels
unique article identifier WOS:000402477000028
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journal analysis (jcr 2017):
journal impact factor 5.807
5 year journal impact factor 5.978
category normalized journal impact factor percentile 91.926
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