Journal
ISCIENCE
Volume 25, Issue 11, Pages -Publisher
CELL PRESS
DOI: 10.1016/j.isci.2022.105384
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Categories
Funding
- US Department of Energy -Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies and Vehicle Technologies Offices
- National Renewable Energy Laboratory was performed [DE347AC36-99GO10337]
- Co-Optima through Program [DE-EE0007983]
- Argonne National Laboratory [DE-AC0206CH11357]
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Biomass conversion to fuels and chemicals is crucial to decarbonization, but choosing an advantageous upgrading pathway out of many options is challenging. Researchers present a method enabling high-throughput screening by approximating upgrading unit operations and drop-in compatibility of products, and apply it to VFA conversion to liquid transportation fuels.
Biomass conversion to fuels and chemicals is crucial to decarbonization, but choosing an advantageous upgrading pathway out of many options is challenging. Rigorously evaluating all candidate pathways (process simulation, product property testing) requires a prohibitive amount of research effort; even simple upgrading schemes have hundreds of possible permutations. We present a method enabling high-throughput screening by approximating upgrad-ing unit operations and drop-in compatibility of products (e.g., fuel properties) and apply it to volatile fatty acid (VFA) conversion to liquid transportation fuels via a MATLAB script, VFA Upgrading to Liquid Transportation fUels Refinery Esti-mation (VULTURE). VULTURE selects upgrading configurations that maximize fuel blend bio-derived content. We validate VULTURE's approximations through surrogate fuel property testing and process simulation. Techno-economic and life cycle analyses suggest that VFA upgrading processes down-selected by VULTURE are profitable and have low carbon intensities, demonstrating the po-tential for the strategy to accelerate process development timelines at decreased costs.
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