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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/2662
Title: Utilisation of a waste biomass, walnut shells, to produce bio-products via pyrolysis: investigation using ISO-conversional and neural network methods
Authors: Rasool T.
Srivastava, Vimal Chandra
Khan M.N.S.
Published in: Biomass Conversion and Biorefinery
Abstract: This study was conducted to investigate the kinetic, thermodynamics and the reaction mechanism of pyrolysis of native walnut shells of Kashmir, India. Thermal degradation experiments were performed at three heating rates of 10, 25, and 50 K min?1 to calculate the kinetic and thermodynamic parameters, using iso-conversional Kissinger-Akahira-Sunrose (KAS) and Ozawa-Flynn-Wall (OFW) models. The reaction mechanism was predicted by applying Coats-Redfern (CR) method. Moreover, an artificial neural network (ANN) simulation was used to obtain best fit points after comparing the experimental data with the predicted data points. Average activation energy was calculated from the thermogravimetric study was found to be in the range of 146.03–148.89 kJ mol?1, while the Gibbs free energy (?G) value for walnut shells was found to be ~180 kJ mol?1. The most appropriate degradation mechanism was found to be based on diffusion and chemical reaction for the temperature range under study. The broad characterisation along with the values of thermodynamic parameters show that the walnut shells can be used as an economical as well as eco-friendly bio-energy feed-stock for pyrolysis. The reaction mechanism of thermal degradation of walnut shells was found to be consisting of two broader zones based on conversion achieved, zone I (0.2 ? ? ? 0.4) and zone II (0.4 ? ? ? 0.8). © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
Citation: Biomass Conversion and Biorefinery (2018), 8(3): 647-657
URI: https://doi.org/10.1007/s13399-018-0311-0
http://repository.iitr.ac.in/handle/123456789/2662
Issue Date: 2018
Publisher: Springer Verlag
Keywords: Artificial neural network
Kinetics
Thermal degradation
Thermodynamics
Waste biomass
ISSN: 21906815
Author Scopus IDs: 56394290900
35565811700
57203134492
Author Affiliations: Rasool, T., Department of Chemical Engineering, National Institute of Technology Srinagar, Srinagar, 190006, India
Srivastava, V.C., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Khan, M.N.S., Department of Chemical Engineering, National Institute of Technology Srinagar, Srinagar, 190006, India
Corresponding Author: Srivastava, V.C.; Department of Chemical Engineering, Indian Institute of Technology RoorkeeIndia; email: vimalcsr@yahoo.co.in
Appears in Collections:Journal Publications [CH]

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