Synergistic Interactions During Co-Hydrothermal Liquefaction of Food Waste and Biomass Model Compounds for Increased Sustainable Aviation Fuel Production
Skyler B. Kauffman, Heather O. LeClerc, Alex R. Maag, Geoffrey A. Tompsett, Jeffrey R. Page, Julia A. Valla, Andrew R. Teixeira, Michael T. Timko
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引用次数: 0
Abstract
Hydrothermal liquefaction (HTL) of lignocellulosic biomass
is plagued
with low biocrude yields owing to the tendency of highly reactive
oxygenated intermediates to condense to form biochars. By contrast,
the high protein content in food waste is comprised of substantial
nitrogen species, which are known to interact strongly with oxygenates
through Maillard, amide, and peptide bond formation reactions. Co-feeding
food waste and lignocellulose opens new reaction pathways for biocrude
formation but is currently poorly understood. This work evaluated
the molecular level interactions between food waste and lignocellulose
model compounds and the corresponding effect on product yields and
quality. Food waste–cellulose and food waste–xylan feedstock
blends achieved maximum biocrude carbon yield improvements of 12.2%
and 10.1%, respectively, relative to a simple linear model that interpolates
between the yields of the pure feedstocks. Increases in biocrude yield
were balanced by corresponding decreases in char yield, indicating
synergistic interactions between the feeds during HTL. Biocrude volatility
analysis revealed that increased biocrude yield preferentially benefitted
the jet fuel fraction, which comprised up to 22.6% of the total carbon
yield for food waste–cellulose blends. Biocrude and char were
analyzed using GC–MS and FT-IR spectroscopy to investigate
the source of synergistic trends and provide greater mechanistic understanding.
Key cofeeding effects included the promotion of retro-aldol condensation
reactions and trans-esterification of fatty acids, sequestering carbon
in the biocrude phase via the inhibition of char formation while increasing
biocrude volatility toward jet fuel-range compounds. These results
indicate the potential for judicious selection of HTL cofeeds to increase
both biocrude yield and selectivity to desired fuel precursors, including
sustainable aviation fuel.
期刊介绍:
)ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)