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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Simulation-based investigation of tar formation in after-treatment systems for biomass gasification
Authors: Boiger, Gernot Kurt
Buff, Vincent
Sharman, Darren
Boldrini, Marlon
Lienhard, Viktor
Drew, Dominic
et. al: No
DOI: 10.1007/s13399-020-00915-7
Published in: Biomass Conversion and Biorefinery
Volume(Issue): 11
Issue: 1
Page(s): 39
Pages to: 56
Issue Date: 2020
Publisher / Ed. Institution: Springer
ISSN: 2190-6815
Language: English
Subjects: Gasification; Simulation; Tar formation; Thermodynamic; System-dynamic; Naphthalene; Cloud computing; Kaleidosim
Subject (DDC): 660: Chemical engineering
Abstract: Even-though biomass-gasification remains a promising technology regarding de-centralized sustainable energy supply, its main limitations, namely the issues of unsteady operation, tar-formation in after-treatment systems and consequential high maintenance requirements, have never been fully overcome. In order to tackle the latter two deficiencies and to increase the understanding of thermodynamic and thermokinetic producer gas phase phenomena within the after-treatment zones, a numerical system-dynamic model has been created. Thereby naphthalene has been chosen to represent the behaviour of tars. The model has been validated against a wide variety of measured and simulated producer-gas compositions. This work particularly focuses on the investigation and minimization of tar-formation within after-treatment systems at low-pressures and decreasing temperatures. Model-based analysis has led to a range of recommended measures, which could reduce the formation tendency and thus the condensation of tars in those zones. These recommendations are i) to decrease gas residence time within pipes and producer gas purification devices; ii) to increase temperatures in low-pressure zones; iii) to increase hydrogen to carbon ratio as well as iv) to increase oxygen to carbon ratio in the producer gas. Furthermore the numerical model has been included into the cloud-computing platform KaleidoSim. Thus a wider range of process parameter combinations could be investigated in reasonable time. Consequentially a simulation-based sensitivity analysis of producer-gas composition with respect to process parameter changes was conducted and the validity-basis of above recommendations was enlarged.
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Appears in collections:Publikationen School of Engineering

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