炼油厂
生物炼制
生物量(生态学)
环境科学
生化工程
生物燃料
工艺工程
时间轴
制浆造纸工业
废物管理
计算机科学
工程类
环境工程
数学
生态学
生物
统计
作者
Jacob H. Miller,Stephen M. Tifft,Matthew Wiatrowski,Pahola Thathiana Benavides,Nabila A. Huq,Earl Christensen,Teresa L. Alleman,Cameron Hays,Jon Luecke,Colin M. Kneucker,Stefan J. Haugen,Violeta Sànchez i Nogué,Eric M. Karp,Troy R. Hawkins,Avantika Singh,Derek R. Vardon
出处
期刊:iScience
[Cell Press]
日期:2022-10-18
卷期号:25 (11): 105384-105384
被引量:8
标识
DOI:10.1016/j.isci.2022.105384
摘要
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 upgrading 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 Estimation (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 potential for the strategy to accelerate process development timelines at decreased costs.
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