Document Type : Research Studies
Authors
1
Instructor., Mechanical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
2
Associate Professor at Mechanical Engineering Department., University of Mansoura., CO 35516., Egypt.
3
Professor of Mechanical Power Engineering Department., Faculty of Engineering., El-Mansoura University, El-Mansoura., Egypt.
4
Professor of Mechanical Power Engineering Department., Faculty of Engineering., Mansoura University., El-Mansoura., Egypt.
5
Associate Professor., Mechanical Power Engineering Department., Faculty of Engineering., Mansoura University., El-Mansoura., Egypt.
Abstract
This work presents a comparative study on different biomass feedstock gasification in a fluidized bed using air. This work aims to study the effect of different biomass fuel types on the gasification performance in a fluidized bed, using kinetic hydrodynamic model results and similar experimental results. The feedstocks used in this study are sawdust pellets, Napier Grass, Portuguese Peach Stone, Chinese Coal /rice straw, solid waste wood, rice straw and olive kernels. The theoretical results were obtained from the kinetic-hydrodynamic simulation of the fluidized bed. The theoretical results were compared with published experimental results. The results showed that the syngas contents are strongly affected by the gasification temperature, equivalence ratio, and fuel characteristics. Increasing ER increases the char burning rate to produce more H2 even medium equivalence ratio (usually less than 0.36) and decreases again. CH4, CO, and H2 increased as temperature increased. From the fuel proximate analysis, the moisture contents affect the combustion reactions to generate more hydrogen. The lower H/C ratio gives greater heating value, as well as gives more concentrations of CO and CO2. In the case of using waste woody and rice straw, the significant increase of carbon monoxide (from 9% to 19%) and carbon dioxide (from 25% to 33.1%) is due to a higher C/O ratio in these biomasses analyses. The proximate analysis of feedstock and its contents from fixed carbons and volatiles matters affect strongly the producer gas concentrations, as a result, it’s LHV. The maximum relative error between model results and experimental results within range ±10.2%.
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