Biomass Feedstock Flow Modeling at Exascale

Research output: NRELPoster


Variable biomass feedstock handling in hoppers and screw conveyors can cause upstream failures and disrupt downstream conversion operations. Understanding how particle size, shape, and moisture content affect feedstock flowability is important for efficient biorefinery operation. We present the use of our open-source discrete element method (DEM) solver for predicting flows in large scale hoppers and assess its performance on state-of-the-art high performance computing platforms that use heterogenous computing architectures.
Original languageAmerican English
StatePublished - 2023

Publication series

NamePresented at the FCIC Annual Meeting 2023, 31 May - 2 June 2023, Oak Ridge, Tennessee

NREL Publication Number

  • NREL/PO-2C00-86398


  • bioenergy
  • biorefineries
  • forest and plant bioproducts
  • solids flow


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