Parametric studies on biomass gasification process on updraft gasifier high temperature air gasification

• Published in: Applied thermal engineering Vol. 112; pp. 1460 - 1473
• Main Authors: Ismail, Tamer M., El-Salam, M. Abd
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 05-02-2017; Elsevier BV
• Subjects: Biomass; Biomass burning; Biomass gasification; Calorific value; Carbon dioxide; CFD model; Combustion; Computer simulation; Equivalence ratio; Feed gas temperature; Gasification; High temperature; High temperature air; Mathematical models; Parametric statistics; Process parameters; Studies; Updraft gasifier HTAG; CFD model; Biomass gasification; Equivalence ratio; Updraft gasifier HTAG; Feed gas temperature
• ISSN: 1359-4311; 1873-5606
• DOI: 10.1016/j.applthermaleng.2016.10.026

•Updraft gasifier HTAG under different parametric studies were carried out.•A numerical model was used to simulate the effects of the investigated parameters.•The influence of gasification temperature and ER on gas and tar yield were investigated.•The temperature and ER have a significant influence on performance of the gasifier.•The developed code can be used to recognize different types of updraft gasifiers.
This paper discusses numerical simulation and experimental studies of different operating conditions of biomass gasification on the performance of an updraft gasifier high temperature air gasification (HTAG). The influence of gasification temperature and equivalence ratio (ER) on gas production and tar yield were examined. A mathematical model was used to simulate the effects of the parameters that influence the process of gasification. The results indicated that H2 and CO contents and low calorific value gas production rate increased. Additionally, there was a decrease in tar yields, CO2 content, and the temperature of the gas products necessary to reduce the CH4. The present study proved that ER significantly influenced the composition of gas species products and helped obtain a higher gasification rate. The results showed that the model proposed in this study is a promising tool for simulating the gasification/combustion process of biomass within a gasifier.