Disc refining is
a critical step in the deacetylation and mechanical
refining (DMR) pretreatment process for the conversion of herbaceous
biomass to biofuels. It is very effective in breaking down the biomass
structures to increase enzyme accessibility and sugar yield. However,
it is also an energy-intensive process, which consumes fossil electricity,
generating greenhouse gas (GHG) emissions, and limits its commercialization
in the biorefinery industry. To the authors’ best knowledge,
this work is the first to report the development of a physics-based
model in predicting the refining energy consumption during the biomass
disc refining process. The developed model demonstrated its capability
in accurately predicting the refining energy consumption under different
operation conditions. Simulations show that the net refining energy
consumption, net refining energy efficiency, and specific net energy
increase with the increase in rotation speed and the decrease in the
refiner plate gap. A convergence trend of these attributes was also
observed between larger and smaller refiner plate gaps at increasing
rotation speeds. In the scaling-up of the DMR pretreatment process,
this model will be a powerful tool in the refiner plate design and
operation parameter optimization to reach optimum refining energy
consumption to reduce biofuel production cost and GHG emissions.