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The evolution and formation of tar species in a downdraft gasifier: Numerical modelling and experimental validation
Mechanical Power Department, Faculty of Engineering, Tanta University, Egypt. Systems, Power and Energy Research Division, James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, United Kingdom.
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Energy and Furnace Technology.ORCID iD: 0000-0002-4047-5444
Systems, Power and Energy Research Division, James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, United Kingdom.
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.ORCID iD: 0000-0002-1837-5439
2019 (English)In: Biomass and Bioenergy, ISSN 0961-9534, E-ISSN 1873-2909, Vol. 130, article id 105377Article in journal (Refereed) Published
Abstract [en]

Gasification is one of the most important methods for converting biomass to syngas currently used in energy production. However, tar content in syngas limits its direct use and thus requires additional removal techniques. The modelling of tar formation, conversion and destruction along a gasifier could give a wider understanding of the process and subsequently help in tar elimination and reduction. However, tar complexity, which contains hundreds of species, makes the modelling process hard and computationally intensive, because the chemistry of the formation and the combustion of many species have not yet been fully studied. In this work, a detailed kinetic model for the evolution and formation of tar from downdraft gasifiers, for the first-time, was built. The model incorporates four main tar species (benzene, naphthalene, toluene, and phenol) with a total of eighteen different kinetic reactions implemented in the code for every zone. Experimental work was carried out to initially validate the results of the kinetic code and found a good agreement. Further experiments were conducted at three different equivalence ratios (ERs) and at three different temperatures (800, 900, and 1100 °C). Sensitivity analysis was then carried out by the kinetic code to optimise the working parameters of a downdraft gasifier that led to a higher calorific value of syngas. The results reveal that a tar evolution model is more accurate for wood biomass materials and that using ER around 0.3, and moisture content levels lower than 10% lead to the production of higher value syngas with lower tar amounts.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 130, article id 105377
Keywords [en]
Biomass gasification, Downdraft gasifiers, Gasification experiment, Numerical modelling, Tar species, Thermochemical kinetics, Biomass, Codes (symbols), Gasification, Kinetics, Naphthalene, Numerical models, Sensitivity analysis, Synthesis gas, Synthesis gas manufacture, Detailed kinetic modeling, Energy productions, Equivalence ratios, Experimental validations, Gasifiers, Working parameters, Tar, chemical reaction, chemistry, combustion, equipment, experimental study, model validation, modeling, moisture content, pollutant removal, reaction kinetics, thermochemistry
National Category
Chemical Process Engineering Organic Chemistry
Research subject
Energy Technology; Chemical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-263501DOI: 10.1016/j.biombioe.2019.105377ISI: 000499712900014Scopus ID: 2-s2.0-85072519314OAI: oai:DiVA.org:kth-263501DiVA, id: diva2:1374693
Note

QC 20191202. QC 20200109

Available from: 2019-12-02 Created: 2019-12-02 Last updated: 2020-01-13Bibliographically approved

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Zaini, Ilman NuranYang, Weihong

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