Experimental investigation of tar arresting techniques and their evaluation for product syngas cleaning from bubbling fluidized bed gasifier

Hai, I.U., Sher, F. ORCID: 0000-0003-2890-5912, Zarren, G. and Liu, H., 2019. Experimental investigation of tar arresting techniques and their evaluation for product syngas cleaning from bubbling fluidized bed gasifier. Journal of Cleaner Production, 240: 118239. ISSN 0959-6526

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Hazardous waste products along with the syngas produced from biomass gasification are one of the major problems of today world. Tar and other solid contaminants removal from syngas are necessary as it is widely used for the production of energy in thermal and power sectors. The raw syngas can be clean up by directly controlling the operating parameters and applying cleaning units. This study aimed to analyze bubbling fluidized bed gasifier and focuses on investigating the novel tar reducing techniques. Different cleaning units; char bed, woodchip bed and mop fan were used to arrest tar directly from producer gas. For the first time, a novel strategical technique of mop fan based on water spray was evaluated. Results showed that tar arrest with bio-char is unsuccessful due to the burning of bed while the average concentration of tar captured by woodchips and mop fan with or without water spray was 0.459 mg/L, 0.987 mg/L and 0.617 mg/L respectively. Furthermore, the concentration of naphthalene and phenanthrene reduced significantly by 96.46% and 99.27% with water spray based mop fan. Overall tar arresting percentage efficiency with small woodchip, large woodchip, mop fan without water and mop fan with water spray was 22.5% < 29.4% < 60.54% < 89.61% respectively. Hence, these investigations lead to the important findings that mop fan with water spray can be deployed directly to capture contaminants, to prevent the production of waste and to increase the efficiencies of clean syngas for the safer use in the power sector.

Item Type: Journal article
Publication Title: Journal of Cleaner Production
Creators: Hai, I.U., Sher, F., Zarren, G. and Liu, H.
Publisher: Elsevier BV
Date: 10 December 2019
Volume: 240
ISSN: 0959-6526
S0959652619331099Publisher Item Identifier
Rights: © 2019 Elsevier Ltd. All rights reserved.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 27 Jul 2022 10:27
Last Modified: 27 Jul 2022 10:37
URI: https://irep.ntu.ac.uk/id/eprint/46743

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