Process intensification of biomass fast pyrolysis through autothermal operation of a fluidized bed reactor

Polin, Joseph P.; Peterson, Chad A.; Whitmer, Lysle E.; Smith, Ryan G.; Brown, Robert C.

doi:10.1016/j.apenergy.2019.04.154

Cited by 86 publications

(118 citation statements)

References 33 publications

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“…are summarized in Table 1. These compositions were obtained by comparing the ultimate analyses of the biomass sources reported by Polin, Peterson et al 21 and Polin, Carr et al 23 with those of similar biomass sources compiled by Debiagi et al 24 and averaging the representative compositions estimated by the latter.…”

Section: Model Inputsmentioning

confidence: 99%

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A Novel Approach to Modeling Biomass Pyrolysis in a Fluidized Bed Reactor

Caudle

Gorensek

Chen

2020

ACS Sustainable Chem. Eng.

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A novel approach to simulating biomass pyrolysis in a fluidized bed of mostly inert material is presented. The bed is assumed to be externally heated, although simulation of autothermal operation with partial oxidation of the products is a future objective. Combining pyrolysis reactions kinetics developed by the CRECK Modeling Group and a previously published component properties model, material and energy balances are closed by tracking the residence time of biomass particles without regard for their exact spatial distribution. The model is used to simulate a pilot-scale fluidized bed pyrolysis process being developed at Iowa State University and model predictions are compared with experimental results for red oak and corn stover feedstocks. The results are in general agreement, with the model typically predicting more noncondensable gas and less low-boiling liquid products. The differences are ascribed to the 2 limitations of the kinetics model. This model provides a rigorous energy balance for fluidized bed pyrolysis processes that can be incorporated into commercial flowsheet models with the capacity for future addition of partial oxidation reactions and implementation of improved kinetics models.

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Section: Model Inputsmentioning

confidence: 99%

“…Trace elements, i.e., "Other (N, S, ...)" were measured in the experimental biomass feed and pyrolysis products by ultimate analysis, 21 contained, in addition to the pyrolyzable biomass components, 0.87 mass-% ash (ASH) and was dried to 5.43 mass-% moisture (H2OL).…”

Section: Model Inputsmentioning

confidence: 99%

A Novel Approach to Modeling Biomass Pyrolysis in a Fluidized Bed Reactor

Caudle

Gorensek

Chen

2020

ACS Sustainable Chem. Eng.

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“…Autothermal pyrolysis has a multitude of benefits, such as reducing requirements for process support infrastructure, and classical scale-up bottlenecks [41]. These are achieved through improved reactor heat transfer, resulting from in situ heat release; improved reactor biomass throughput (mass loading), resultant of increased gas production; and improved bio-oil quality, possibly due to reduced vapor phase residence time with increased gas velocity.…”

Section: Chapter 2 Literature Review: Pyrolysis and Oxidation -Applimentioning

confidence: 99%

“…The rule of thumb FP temperature is commonly defined as 500°C, although for red oak in a fluidized bed, 450°C attained a maximum bio-oil yield [224]. Polin has shown that due to the enhanced heating rates achieved through the in situ heating enabled by feedstock partial oxidation, a slightly lower temperature (possibly in the range of 350-475°C) might be optimal for maximum bio-oil yield during autothermal pyrolysis [41]. If operating at these lower temperatures, decomposition of monosaccharides and monophenols might occur to a lesser extent.…”

Section: Application Of Oxidation Mechanisms To Fluidized Bed Pyrolysismentioning

confidence: 99%

“…In other words, very little condensable product would need to be oxidized (reacted exothermically) to balance the endothermic pyrolysis reactions. Other benefits have been cited such as improved heat transfer, monosaccharide yield and selectivity towards monophenols [41]. Heat transfer to the feedstock particles entering the system occurs at or near the particle surface (at the locale of the oxidation reaction), rather than needing to be transferred from the reactor wall or the heat carrier particle to the biomass particle.…”

Section: Introduction To Autothermal Pyrolysismentioning

confidence: 99%

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Where does the Oxygen go? – Pathways and Partitioning in Autothermal Pyrolysis

Mazur

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An index to characterize gas‐solid and solid‐solid mixing from average volume fraction fields

et al. 2022

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A mixing index based on solid volume fraction fields is developed for gas‐solid flows. Conventional mixing indices are based on particle realizations of granular mixing and are applicable to experimental data or discrete element method simulations. However, these indices cannot be used as‐is for multifluid models, and an index for characterizing mixing in gas‐solid flows from continuous fields is needed. The performance of the new mixing index is tested in two applications. The first is a 3D simulation of the mixing of biomass and sand in a fluidized bed reactor, and the second is a 2D simulation of binary particle segregation in a fluidized bed. The simulations are performed using OpenFOAM®. The mixing index is used to quantify gas‐solid mixing using solid volume fractions and solid‐solid mixing using solid fractions. The formulation of conventional mixing indices is extended to be used with solid volume fractions fields, and methods for performance improvement are presented.

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Process intensification of biomass fast pyrolysis through autothermal operation of a fluidized bed reactor

Cited by 86 publications

References 33 publications

A Novel Approach to Modeling Biomass Pyrolysis in a Fluidized Bed Reactor

A Novel Approach to Modeling Biomass Pyrolysis in a Fluidized Bed Reactor

Where does the Oxygen go? – Pathways and Partitioning in Autothermal Pyrolysis

An index to characterize gas‐solid and solid‐solid mixing from average volume fraction fields

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