Simulations of Biomass Compression-Screw Feeding Using a Compressible Non-Newtonian Constitutive Model: Article No. 119117

Mohammad Rahimi, Hariswaran Sitaraman, David Sievers, Jonathan Stickel, Ehsan Akbari Fakhrabadi, Matthew Liberatore

Research output: Contribution to journalArticlepeer-review

Abstract

There is global interest in the conversion of biomass into sustainable low-carbon-footprint fuels and chemicals as an alternative to non-renewable fossil feedstocks. Feeding biomass solids into pressurized reactors is one of the key steps in biomass conversion. Predicting mechanical failure and energy requirements for this step helps avoid upstream processing bottlenecks and enables efficient operation of a biorefinery. In this work, we developed a predictive computational model for biomass screw feeders that capture the highly viscous, non-Newtonian and compressible behavior of biomass slurries. Biomass compressible behavior is formulated by an equation of state and the non-Newtonian rheology is represented by a density-dependent viscosity model. Experimental data from two compression screw-feeder systems are presented as a validation for our model. Our model successfully predicted the location of the compressed biomass "plug", biomass flow rate, and the required torque at different operating conditions for the experimental conditions studied in this work.
Original languageAmerican English
Number of pages9
JournalChemical Engineering Science
Volume281
DOIs
StatePublished - 2023

NREL Publication Number

  • NREL/JA-2C00-83823

Keywords

  • biomass
  • computational fluid dynamics
  • non-Newtonian rheology
  • OpenFOAM
  • screw feeder

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