Abstract
Gasification is a thermo-chemical process to convert carbon-based products such as biomass and coal into a gas mixture known as synthetic gas or syngas. Various types of gasification methods exist, and fluidized bed gasification is one of them which is considered more efficient than others as fuel is fluidized in oxygen, steam or air. This paper presents an experimental and numerical investigation of fluidized bed gasification of solid waste (SW) (wood). The experimental measurement of syngas composition was done using a pilot scale gasifier. A numerical model was developed using Advanced System for Process ENgineering (Aspen) Plus software. Several Aspen Plus reactor blocks were used along with user defined FORTRAN and Excel code. The model was validated with experimental results. The study found very similar performance between simulation and experimental results, with a maximum variation of 3%. The validated model was used to study the effect of air-fuel and steam-fuel ratio on syngas composition. The model will be useful to predict the various operating parameters of a pilot scale SW gasification plant, such as temperature, pressure, air-fuel ratio and steam-fuel ratio. Therefore, the model can assist researchers, professionals and industries to identify optimized conditions for SW gasification.
Highlights
Solar, wind, tides, geothermal and hydroelectric are very popular renewable energy sources.there is another significant source of energy that is created by our everyday activities across the world known as biomass
Advanced System for Process ENgineering (Aspen) Plus provides the facility for the user to input their own models using FORTRAN/Excel codes and reactions nested within the input file
Experimental and numerical investigations of atmospheric fluidized bed gasification have been done for solid waste (SW)
Summary
Wind, tides, geothermal and hydroelectric are very popular renewable energy sources. Kumar et al [5] studied on simulation of corn stover and distillers grains gasification where they developed to simulate the performance of a lab-scale gasifier and predict the flowrate and composition of product from given biomass composition and gasifier operating conditions using Aspen Plus software. They applied mass balance, energy balance, and minimization of Gibbs free energy during the gasification to determine the product gas composition. In their model, the DFB was divided into three modules according to the main chemical phenomena: biomass pyrolysis, secondary reactions and char combustion. The model will be very useful for the professionals, researchers and industry people involved in waste to energy technologies
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