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Development of a chemical kinetic model for a biosolids fluidized-bed gasifier and the effects of operating parameters on syngas quality.
J Air Waste Manag Assoc ; 64(2): 160-74, 2014 Feb.
Article en En | MEDLINE | ID: mdl-24654385
ABSTRACT
In an effort to decrease the land disposal of sewage sludge biosolids and to recover energy, gasification has become a viable option for the treatment of waste biosolids. The process of gasification involves the drying and devolatilization and partial oxidation of biosolids, followed closely by the reduction of the organic gases and char in a single vessel. The products of gasification include a gaseous fuel composed largely of N2, H2O, CO2, CO, H2, CH4, and tars, as well as ash and unburned solid carbon. A mathematical model was developed using published devolatilization, oxidation, and reduction reactions, and calibrated using data from three different experimental studies of laboratory-scale fluidized-bed sewage sludge gasifiers reported in the literature. The model predicts syngas production rate, composition, and temperature as functions of the biosolids composition and feed rate, the air input rate, and gasifier bottom temperature. Several data sets from the three independent literature sources were reserved for model validation, with a focus placed on five species of interest (CO, CO2, H2, CH4, and C6H6). The syngas composition predictions from the model compared well with experimental results from the literature. A sensitivity analysis on the most important operating parameters of a gasifier (bed temperature and equivalence ratio) was performed as well, with the results of the analysis offering insight into the operations of a biosolids gasifier.
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Banco de datos: MEDLINE Asunto principal: Administración de Residuos / Biocombustibles / Modelos Químicos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Air Waste Manag Assoc Asunto de la revista: SAUDE AMBIENTAL Año: 2014 Tipo del documento: Article
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Banco de datos: MEDLINE Asunto principal: Administración de Residuos / Biocombustibles / Modelos Químicos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Air Waste Manag Assoc Asunto de la revista: SAUDE AMBIENTAL Año: 2014 Tipo del documento: Article