Modeling of Biomass Char Gasification, Combustion, and Attrition Kinetics in Fluidized Beds

Abstract

Char conversion is one of the most pivotal factors governing the effectiveness of fluidized bed gasification systems. Gasification-assisted attrition is a phenomenon whereby heterogeneous reactions progressively weaken a char's structure throughout its lifetime leading to enhanced attrition and the production of a significant fraction of fines that exit the reactor unconverted.While this effect has been observed and measured experimentally, few models have been developed to quantitatively account for it, particularly for biomass chars. In this study, a transient gasification and combustion particle model is presented to describe primary fragmentation, attrition, and heterogeneous reactions of a single batch of particles. A conversion-dependent structural function is proposed to describe gasification-assisted attrition and the model parameters are fitted to published experimental data ref [2]. The fragile structure of char derived from wood chips contributes to a higher initial attrition rate than char from wood pellets, but the hardness of both feedstocks is shown to deteriorate rapidly as they convert. A 2 shrinking particle combustion model which accounts for variable feedstock properties is comprehensively presented and validated against the aforementioned data set. The combustion behaviors of both feedstocks are found to strongly depend on particle size/geometry because of significant mass transfer limitations. Using a residence time distribution approach, the model is extended to describe a continuously fed system in order to examine the sensitivity of steady state outputs (conversion and residence time) to the operating temperature, pressure, and kinetics. As the temperature increases, the char reactivity also increases but the coupled and competing effect of gasification-assisted attrition acts to shorten the residence time of the char particles making complete char conversion very difficult even at 900 ○ C-the upper operating temperature limit for most single stage fluidized bed gasification systems. Low operating temperatures result in longer average residence times and higher steady-state char inventories, and slower kinetics lowers the overall conversion. Because of inhibition effects, elevated operating pressures have a smaller impact on improving conversion compared to higher temperature. The steady model further provides a rigorous method for estimating the maximum stable biomass feeding rates as a function of relevant independent parameters including reactor temperature, pressure, volume, and feedstock characteristics.3

Kinetics and Performance of Raw and Torrefied Biomass in a Continuous Bubbling Fluidized Bed Gasifier

“…Bio-char can be obtained from biomass pyrolysis [26]. The char obtained from the gravimetric method is closely analogous to the actual conditions in a fluidized bed gasifier, because no cooling occurred between the devolatilization stage and gasification [27]. Therefore, this procedure was used to investigate the char yield of biomass under inert conditions (nitrogen gas) by using a similar superficial velocity to that of a full-scale industrial system.…”

“…Char conversion is a key factor governing the effectiveness of fluidized bed gasification [27]. This method utilises a mass balance of the char as it enters and reacts in the gasifier.…”

Modeling and Parametric Study for Maximizing Heating Value of Gasification Syngas

“…A number of studies had been carried out in the past on modelling of the thermochemical conversation of various biomass materials (Muilenburg et al 2011;Bates et al 2016). Phenomenological models that represent the various chemical processes in each stage of gasification using mathematical relations (Muilenburg et al 2011;Sulaiman et al 2012;Bates et al 2016) are more commonly applied than the black box modelling approach that use Artificial Neural Network (ANN) (Puig-Arnavat et al 2013;Rodrigues et al 2016). These models can be placed into two main classes: equilibrium models that assume all major reactions of pyrolysis and gasification to reach chemical equilibrium during the gasification process, and kinetic models, which involve kinetic rate equations.…”

Study of the effect of reactor scale on fluidization hydrodynamics using fine-grid CFD simulations based on the two-fluid model

“…This analysis will be useful not only for commercial-scale reactor design but also for establishing reduced-order models which can be used in system-level analysis for optimizing conversion efficiency [32][33][34]. The simulation setup and fluidization metrics are briefly described in Sections 2 and 3 respectively, while detailed description can be found in [29].…”