Flow analysis deconvolution for kinetic information reconstruction

Abad, Alberto; Cardona, Salvador; Torregrosa, J. I.; López, F.; Navarro-Laboulais, J.

doi:10.1007/s10910-005-5422-8

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…This matrix implies the determination of A in the gas phase and B in the liquid phase. In a previous work, Abad et al 35 showed the problems and how to correct systematic errors associated with dynamic measurements when continuous-flow analysis techniques are used in bubble-column reactors. Although only the liquid bulk is considered in that work, similar corrections should be applied to the gas phase mainly to correct the dilution effect arising from the gas chamber at the reactor's overhead and the dispersion phenomena to the detector, if any.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Structural identifiability analysis of the dynamic gas–liquid film model

Navarro-Laboulais¹,

Cardona²,

Torregrosa³

et al. 2006

AIChE Journal

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Section: Discussionmentioning

confidence: 99%

“…In the context of this paper, after inspecting Eqs. 35 and 36, a slow chemical reaction is a chemical reaction that accomplishes the following condition:…”

Section: Gas-liquid Mass Transfer With Chemical Reactionmentioning

confidence: 99%

Structural identifiability analysis of the dynamic gas–liquid film model

Navarro-Laboulais¹,

Cardona²,

Torregrosa³

et al. 2006

AIChE Journal

Self Cite

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“…For very rapid reactions (order of seconds), the nonnegligible signal delay and dispersion in the sampling line were represented by a convolution-type transmission function as described in the work by Abad et al 18 2.3. Fuel Selection and Characterization.…”

Section: Energy and Fuelsmentioning

confidence: 99%

Gasification Kinetics of Biomass- and Fossil-Based Fuels: Comparison Study Using Fluidized Bed and Thermogravimetric Analysis

et al. 2015

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In this work, the influence of experimental setup on derived kinetic data for the heterogeneous Boudouard gasification reaction is studied. A thermogravimetric analyzer (TGA) and a small-scale fluidized bed reactor (FBR) are used. The two systems differ basically in their fuel heating rates and fuel bed configurations. The kinetic study was performed in both reactors for the same temperatures and partial pressures of CO 2 at ambient pressure using same-batch fuel samples (biomass, brown coal, and petcoke). Kinetic data are reported, and the influence of the thermal history of the fuel particle prior to the char gasification process is discussed. In general, the activation energies derived from both systems are lower for the brown coal fuels as compared to the wood char fuels. This finding may be explained by the high ash content of the brown coal fuels with multiple catalytic components in the ash. Both experimental setups used in this study agree well in their results for the carbon conversion rate and kinetic parameters for fuels with low volatile content, whereas fuels with high volatile content show different results in the two experimental setups. This may be explained by the physical and chemical structure of the fuel particle not being changed significantly during the in situ pyrolysis prior to gasification for the low volatile fuels. The char properties of the high volatile fuels may differ significantly due to system dependent different heating rates and gas atmospheres during the in situ pyrolysis prior to gasification. Hence, the observed reactivity becomes system dependent. In conclusion, the results show that knowledge of the thermal history of the fuel particle prior to the gasification process is most important for the interpretation of kinetic data as well as for the design of experiments for generation of kinetic data.

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“…For all experiments, a constant reaction temperature of T FB is assumed over time. As the reaction zone (position ① in Figure 1) and the gas analysis (position ②) are separated, gas transport and mixing effects have to be considered with a convolution approach based on the theory from Abad et al (2005) with more details given in Pielsticker et al (2019a).…”

Section: Fluidized Bed Reactormentioning

confidence: 99%

Flash Pyrolysis Kinetics of Extracted Lignocellulosic Biomass Components

et al. 2021

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Biomass is a complex material mainly composed of the three lignocellulosic components: cellulose, hemicellulose and lignin. The different molecular structures of the individual components result in various decomposition mechanisms during the pyrolysis process. To understand the underlying reactions in more detail, the individual components can be extracted from the biomass and can then be investigated separately. In this work, the pyrolysis kinetics of extracted and purified cellulose, hemicellulose and lignin are examined experimentally in a small-scale fluidized bed reactor (FBR) under N2 pyrolysis conditions. The FBR provides high particle heating rates (approx. 104 K/s) at medium temperatures (573–973 K) with unlimited reaction time and thus complements typically used thermogravimetric analyzers (TGA, low heating rate) and drop tube reactors (high temperature and heating rate). Based on the time-dependent gas concentrations of 22 species, the release rates of these species as well as the overall rate of volatiles released are calculated. A single first-order (SFOR) reaction model and a 2-step model combined with Arrhenius kinetics are calibrated for all three components individually. Considering FBR and additional TGA experiments, different reaction regimes with different activation energies could be identified. By using dimensionless pyrolysis numbers, limits due to reaction kinetics and heat transfer could be determined. The evaluation of the overall model performance revealed model predictions within the ±2σ standard deviation band for cellulose and hemicellulose. For lignin, only the 2-step model gave satisfying results. Modifications to the SFOR model (yield restriction to primary pyrolysis peak or the assumption of distributed reactivity) were found to be promising approaches for the description of flash pyrolysis behavior, which will be further investigated in the future.

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Flow analysis deconvolution for kinetic information reconstruction

Cited by 15 publications

References 15 publications

Structural identifiability analysis of the dynamic gas–liquid film model

Structural identifiability analysis of the dynamic gas–liquid film model

Gasification Kinetics of Biomass- and Fossil-Based Fuels: Comparison Study Using Fluidized Bed and Thermogravimetric Analysis

Flash Pyrolysis Kinetics of Extracted Lignocellulosic Biomass Components

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