Battery-grade graphite and aviation fuel are traditionally produced from non-renewable, fossil carbon feedstocks and result in substantial greenhouse gas emissions. Biomass holds exciting potential as a renewable and sustainable feedstock for the production of graphite and aviation fuel, but challenges exist including the necessity of a catalyst when producing graphite and low selectivity when producing aviation fuel. A process to convert a biomass-derived feedstock into graphite without the use of a catalyst and fuels with high selectivity towards sustainable aviation fuel (SAF) is innovated. Heavy bio-oil undergoes a conversion process similar to the commercial production of synthetic graphite including coking at 500 °C, calcination at 1000 °C, and graphitization at 2800 °C. The resulting biographite exhibits excellent performance in lithium-ion battery configurations with specific capacity of ~330 mAh g and a 96.8 % capacity rebound after high rate cycling. The liquid hydrocarbon co-product from coking is suitable for hydrotreating into SAF. The aviation fuel fraction (70 wt % of the fuel produced) meets ASTM standards and is composed primarily of cycloalkanes (~80 wt %) which improves energy density compared to paraffins produced by other SAF pathways and may replace aromatics for elastomer swelling in traditional jet fuel with less soot production.
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http://dx.doi.org/10.1002/cssc.202402509 | DOI Listing |
Sci Rep
March 2025
Department of Petroleum and Geo-energy Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Given the application of cycloalkanes in surrogate blends for aviation fuels, their determination of critical characteristics pertinent to fuel transportation and combustion becomes imperative. In this study, we aim to construct intelligent models based on machine learning methods of random forest (RF), adaptive boosting, decision tree (DT), ensemble learning, K-nearest neighbors (KNN), support vector machine (SVM), multi-layer perceptron (MLP) artificial neural network and convolutional neural network (CNN) to predict the density of binary blends of ethylcyclohexane or methylcyclohexane with n-hexadecane/n-dodecane/n-tetradecane in terms of operational conditions (pressure and temperature) and cycloalkane mole fractions in n-alkanes, utilizing laboratory data extracted from existing scholarly publications. The reliability of the data used is affirmed using an outlier detection algorithm, and the relevancy factor concept is utilized to find the relative effects of the input parameters on the output parameter.
View Article and Find Full Text PDFBiofouling
March 2025
School of Biosciences, University of Sheffield, Sheffield, UK.
The ability of different microbes to form biofilms on materials found in aviation fuel systems was assessed using both individual isolates and complex microbial communities. Biofilm formation by the Gram-negative bacterium, , the fungus and the yeast, , was influenced by material surface properties although this differed between isolates. Biofilm formation was greatest at the fuel-water interface.
View Article and Find Full Text PDFChemSusChem
March 2025
KU Leuven: Katholieke Universiteit Leuven, Department of Microbial and Molecular Systems, Celestijnenlaan 200f, 3001, Heverlee, BELGIUM.
This study highlights the effectiveness of hydrodeoxygenation (HDO) in converting lignin oils from Eucalyptus, Poplar, and Pine wood, derived from reductive catalytic fractionation (RCF), into renewable cycloalkanes for jet fuel. Using a low-cost Ni2P/SiO2 catalyst, the process achieved yields of 91 %, 83 %, and 75 % of renewable cycloalkanes respectively. In addition, the process exhibited high selectivity towards a specific range of hydrocarbons mostly present in aviation fuel (C9 to C15), with values of 70%, 60% and 62% for the three feedstocks, respectively, showcasing the potential for high-value fuel production.
View Article and Find Full Text PDFCarbohydr Polym
May 2025
CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China; Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, 168 Wenhai Road, Qingdao 266237, China. Electronic address:
1,2-Benzisothiazol-3(2H)-one (BIT) has strong antibacterial activity, but its water insolubility and skin toxicity effects hinder its application in the antibacterial domain of the fuel system. In this study, benzisothiazolinone quaternized chitosan derivative (HACCBIT) was synthesized by intercalated quaternized chitosan with 1,2-benzisothiazolin-3-one-based anions (BIT-COO-) via ion-exchange reactions. HACCBIT exhibits enhanced aqueous solubility and remarkable biocompatibility.
View Article and Find Full Text PDFInd Eng Chem Res
February 2025
Department of Chemical and Biomolecular Engineering, University of Notre Dame, 250 Nieuwland Hall, Notre Dame, Indiana 46556, United States.
Biojet fuel is an attractive option to reduce global greenhouse gas (GHG) emissions from the aviation industry. In this paper, we propose a two-stage stochastic linear program to analyze the optimal operation of an integrated sugarcane mill that produces sustainable aviation fuel (SAF) using historical time-series commodities price data from Brazil. We find currently available alcohol-to-jet (ATJ) technologies require premiums between 0.
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