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Forest residue harvest optimization: Spanning the bridge between plant biology and biorefinery performance
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DOI：10.1039/D6GC01047D.png)
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Abstract
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Forestry residues have immense potential as alternative feedstocks to petroleum; yet their inherent complexity remains a major challenge to widespread use. Pairing temporal rhythms of plant biology with biorefinery performance is critical to industrial-scale biorefinery development. Here; we provide the first report of a techno-economic analysis (TEA) and life cycle assessment (LCA) for a model integrated reductive catalytic fractionation (RCF)-molten salt hydrolysis process for forestry residues varying in tree part; species; and phenophase. All forestry residues resulted in net-negative greenhouse gas (GHG) emissions vs. comparable petroleum feedstocks; with GHG emissions potentially reduced >4.0x through composition-based feedstock selection (e.g.; harvesting American beech bark in spring vs. summer). Moreover; American beech twigs/branchlets and bark in leafed and emergence phenophases; respectively; had 7.9x lower predicted phenolic minimum selling prices (MSPs) vs. other feedstocks and MSPs within the current global phenolic market range. Hemicellulose content and RCF yield emerged as key parameters impacting GHG emissions and biorefinery revenue; identifying hardwood twigs/branchlets in the leafed phenophase as optimal biofeedstocks. Biorefinery expenses were dominated by purchased equipment; raw materials; and utility costs; highlighting essential areas for future study. Notably; RCF reactor pressures drove 85-90% of equipment costs; but sensitivity analysis revealed that decreasing the pressure 20% could reduce the phenol MSP 4-fold. Structural carbohydrate dynamics were also investigated using a two-step acid hydrolysis method to resolve tissue- and species-level patterns in biomass composition throughout the year to enable harvest optimization based on TEA/LCA findings. Ultimately; elucidating the impact of biofeedstock dynamics on biorefinery performance enables harvest optimization; informed engineering design; and progress towards an expanded bioeconomy.
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