Modeling of fast pyrolysis of a single biomass particle in an inert boiling bed

Rabinovich, O. S.; Korban, V. V.; Pal’chenok, G. I.; Khorol’skaya, O. P.

doi:10.1007/s10891-009-0244-3

Cited by 6 publications

(6 citation statements)

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“…Other earlier model contributions include the mathematical models of the fast pyrolysis of a single wood particle by Rabinovich et al (2009) and the fast pyrolysis of biomass in circulating fluidized bed reactors by Van de Velden et al (2008). Anca-Couce et al (2013) introduced a multi-scale model of the pyrolysis of biomass in a fixed-bed reactor.…”

Section: Fast Pyrolysismentioning

confidence: 99%

“…The fast pyrolysis model proposed by Rabinovich et al (2009) consists of three submodels: (i) A kinetic model of the pyrolysis of the different components [cellulose (C), hemicellulose (HC), and lignin (L)] of the biomass, (ii) A thermal model for the heating of one biomass particle in the boiling bed reactor, and (iii) A model of the biomass particle motion in the free reactor space. The diameter of the biomass particle is assumed to be smaller than 1 mm because the goal of the biomass pyrolysis is the production of liquid bio-oil.…”

Section: Fast Pyrolysismentioning

confidence: 99%

“…Therefore, the heating rate of the biomass should be high. Figure 7 represents the reaction flowsheet considered by Rabinovich et al (2009). The kinetic parameters k i are assumed to obey Arrhenius law:…”

Section: Fast Pyrolysismentioning

confidence: 99%

“…FIGURE 7 | Reaction flowsheet of the biomass pyrolysis process (adapted from Rabinovich et al, 2009).…”

Section: Fast Pyrolysismentioning

confidence: 99%

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Modeling Biowaste Biorefineries: A Review

Buck

Polańska

Impe

2020

Front. Sustain. Food Syst.

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The biorefining of biowaste is an upcoming novel strategy, but is mostly still in its conceptual phase. Biowaste biorefineries would allow (rural) communities to convert their biowaste into value-added biofuels, biochemical compounds, and fertilizers. Several different types of biowaste biorefineries have already been developed, but little to none of these designs are already commercially exploited. Their further development and commercial implementation is hampered by the high investment costs and risks, little trusts in its novel technologies, expected yields and profits, and operating reliability. Modeling these integrated processes, together with their supply chains, would allow for optimizing the considered biorefinery designs and coincidently speeding up the R&D-process. The optimized biorefinery designs and supply chains would additionally embed an increased amount of trust in potential investors in terms of the economic sustainability of the considered novel processes. Therefore, in this publication, a summary of existing biorefinery models is presented, together with supply chain network models. The discussed biorefinery models are categorized according to the conversion platform they use, being thermochemical, biological, or hybrid ones. Furthermore, the overall inherent advantages and disadvantages of all conversion platforms are summarized and a scope of further research needs is presented.

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Section: Fast Pyrolysismentioning

confidence: 99%

Section: Fast Pyrolysismentioning

confidence: 99%

Section: Fast Pyrolysismentioning

confidence: 99%

“…FIGURE 7 | Reaction flowsheet of the biomass pyrolysis process (adapted from Rabinovich et al, 2009).…”

Section: Fast Pyrolysismentioning

confidence: 99%

See 2 more Smart Citations

Modeling Biowaste Biorefineries: A Review

Buck

Polańska

Impe

2020

Front. Sustain. Food Syst.

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“…A particle property ϕ is updated linearly depending on its composition as: for ϕ = ρ, c p as given in Table 3. Shrinkage during the drying process is neglected while during pyrolysis mass‐proportional shrinkage13, 33, 34 is assumed for each biomass particle. To conserve mass at any instant of time, the biomass particle diameter shrinks according to: It is further assumed that reactions are uniform throughout the particle and the ash layer (if exists) peels off instantaneously (see Figure 2).…”

Section: Theoretical Modelmentioning

confidence: 99%

Modeling the thermochemical degradation of biomass inside a fast pyrolysis fluidized bed reactor

Bruchmüller

Wachem

et al. 2011

AIChE Journal

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A fast pyrolysis process in a bubbling fluidized bed has been modeled, thoroughly reproduced and scrutinized with the help of a combined Eulerian/Lagrangian simulation method. The 3-D model is compared to experimental results from a 100 g/h bubbling fluidized bed pyrolyzer including such variables as particle composition at the outlet and gas/vapor/water yields as a function of fluidization conditions, biomass moisture concentrations, and bed temperatures. Multiprocessor simulations on a high-end computer have been carried out to enable the tracking of each of the 0.8 million individual discrete sand and biomass particles, making it possible to look at accurate and detailed multiscale information (i.e., any desired particle property, trajectory, particle interaction) over the entire particle life time. The overall thermochemical degradation process of biomass is influenced by local flow and particle properties and, therefore, accurate and detailed modeling reveals unprecedented insight into such complex processes. It has been found, that the superficial fluidization velocity is important while the particle moisture content is less significant for the final bio-oil yield

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Review of Modelling of Pyrolysis Processes with CFD-DEM

Attanayake,

Sewerin,

Kulkarni

et al. 2023

Flow Turbulence Combust

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In a pyrolysis reactor, organic polymers from biomass or plastic waste are thermally decomposed into volatile gases, condensable vapours (tar or bio-oil) and solid residues (char). Since these products may serve as building blocks for downstream chemical refinement or form the basis of bio-derived fuels, pyrolysis is thought to be instrumental in our progress towards a circular economy. A pyrolysis reactor constitutes a multiphase reactive system whose operation is influenced by many chemical and physical phenomena that occur at different scales. Because the interactions and potential reinforcements of these processes are difficult to isolate and elucidate experimentally, the development of a predictive modelling tool, for example, based on the CFD-DEM (discrete element method) methodology, is attracting increasing attention, particularly for pyrolysis reactors operated with biomass as feedstock. By contrast, CFD-DEM descriptions of plastic pyrolysis remain a challenge at present, mainly due to an incomplete understanding of their melting behaviour. In this article, we provide a blueprint for describing a pyrolysis process within the scope of CFD-DEM, review modelling choices made in past investigations and detail the underlying assumptions. Furthermore, the influence of operating conditions and feedstock properties on the key metrics of the process, such as feedstock conversion, product composition and residence time, as determined by past CFD-DEM analyses is surveyed and systematised. Open challenges that we identify pertain to the incorporation of particle non-sphericity and polydispersity, the melting of plastics, particle shrinkage, exothermicity on part of the gas-particle chemistry and catalytic effects.

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Modeling of fast pyrolysis of a single biomass particle in an inert boiling bed

Cited by 6 publications

References 1 publication

Modeling Biowaste Biorefineries: A Review

Modeling Biowaste Biorefineries: A Review

Modeling the thermochemical degradation of biomass inside a fast pyrolysis fluidized bed reactor

Review of Modelling of Pyrolysis Processes with CFD-DEM

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