Article
Energy & Fuels
David S. Hirshfeld, Jeffrey A. Kolb, James E. Anderson, Asim Iqbal, Michael E. Moore, William M. Studzinski, Ian Sutherland
Summary: Increasing the minimum octane ratings of the U.S. gasoline pool has the potential to improve engine efficiency in future light-duty vehicles, leading to greater fuel economy and reduced greenhouse gas emissions. This study analyzed the technical and economic effects of producing a gasoline pool meeting different national standards for ethanol content, minimum research octane number (RON), and minimum octane sensitivity (OS) levels, showing that higher octane levels can be achieved with conventional refining processes and gasoline blendstocks, albeit with increased refining costs. The use of high-RON, high-OS blendstocks like ethanol or iso-octene could further extend the achievable octane and sensitivity levels, although at a higher cost.
Article
Thermodynamics
Fengyu Zhang, Xinchao Su, Aoli Tan, Jingjing Yao, Haipu Li
Summary: In this study, a machine learning model was developed to handle highly non-linear and coupling relationships, and 35 important variables were selected for modeling out of 353 variables. The dragonfly algorithm was used to optimize the back propagation neural network and logistics regression process, resulting in a combined model that balanced local and global searching. The evaluation and validation of the model showed high accuracy and strong generalization ability, making it essential for gasoline refining.
Article
Energy & Fuels
Abdullah S. AlRamadan, S. Mani Sarathy, Jihad Badra
Summary: Ethanol is widely used as a gasoline octane booster, and its blending response varies, leading to synergistic, linear, or antagonistic effects. This study provides new research octane number (RON) and motor octane number (MON) measurements of ethanol blended with various gasoline surrogates, helping understand the blending responses.
Article
Green & Sustainable Science & Technology
Jian Chen, Jiajun Zhu, Xu Qin, Wenxiang Xie
Summary: This study aimed to minimize the loss of octane by investigating various machine learning algorithms and developing an improved octane loss optimization model. Four different machine learning techniques were used to build octane loss prediction models, and the results showed that the XGboost model was optimal. An octane loss optimization model was then established, using the XGboost prediction model as the fitness function.
Article
Energy & Fuels
Tawfik Badawy, Hongming Xu, Yanfei Li
Summary: This study investigates the impact of fuel temperature, ambient pressure, and fuel properties on the spray characteristics of a 6-hole gasoline direct injector. Results show that as the ambient/saturation pressure ratio decreases, spray width decreases and cone angle becomes smaller; interstitial streams appear in the spray at ratios below 0.28.
Article
Energy & Fuels
Jihad Badra, Faisal Alowaid, Alma Alhussaini, Aqeelah Alnakhli, Abdullah S. AlRamadan
Summary: This study fills the knowledge gap by providing octane number measurements for MTBE blended with various pure components and gasoline fuels. The results show that the blending characteristics of MTBE with different components are not the same, and the octane numbers of the blends are dependent on the composition of the base gasoline fuel. Predictive models are developed to predict and optimize the octane boost caused by MTBE addition to gasoline fuels.
Article
Engineering, Chemical
Xiao Liu, Yilai Liu, Xuejun He, Min Xiao, Tao Jiang
Summary: A new systematic method was proposed to determine an optimal operation scheme for minimizing RON loss and operational risks. Through data collection, dimensionality reduction, and multiple nonlinear regression, a multi-objective nonlinear optimization model was established with the objective of maximizing the reduction in RON loss and minimizing operational risks.
Article
Thermodynamics
Shuwen Xiao, Hongqing Feng, Xinyi Wang, Xuemeng Li, Zhirong Nan, Chaohe Yang
Summary: This study simulated and optimized the anti-knock performance of ethanol-gasoline fuel, and the results showed that the chemical effect of the fuel has the greatest contribution to the anti-knock performance.
COMBUSTION SCIENCE AND TECHNOLOGY
(2023)
Article
Energy & Fuels
Dario Lopez-Pintor, John E. Dec
Summary: High-performance renewable fuels are a promising alternative to reduce carbon emissions from internal combustion engines when combined with advanced engine technologies. The key to achieving substantial reductions in CO2 emissions is designing fuel blends with phi-sensitivity, high research octane number, and octane sensitivity suitable for both ACI and spark-ignition engines.
Article
Energy & Fuels
Krishna C. Kalvakala, Pinaki Pal, Jorge Pulpeiro Gonzalez, Christopher P. Kolodziej, Hee Je Seong, Goutham Kukkadapu, Matthew McNenly, Scott Wagnon, Russell Whitesides, Nils Hansen, Suresh K. Aggarwal
Summary: In this study, computational fluid dynamics (CFD) simulations were used to investigate the impact of blending two biofuels, ethanol and n-butanol, with gasoline on combustion phasing and soot emissions in a low load engine. The results showed that both fuel chemistry and physical properties had an influence on combustion and soot emissions, with a greater effect observed at earlier injection timings.
Article
Energy & Fuels
Lukas Matejovsky, Petr Baros, Martin Stas, Milan Pospisil, Jan Macak
Summary: This study investigates the effect of different alcohol content in ethanol-gasoline and butanol-gasoline blends on mild steel corrosion, finding that contamination increases the aggressiveness of the fuels against mild steel, particularly in butanol-gasoline blends. It was observed that in ethanol-gasoline blends with an ethanol content of 60% or higher, an initial quasi-passive state was present but not persistent. Pitting corrosion was observed in fuels with ethanol content of 100% and in blends containing 40% or more butanol.
Article
Energy & Fuels
Krishna C. Kalvakala, Pinaki Pal, Goutham Kukkadapu, Matthew McNenly, Suresh Aggarwal
Summary: Soot formation is a complex process that is closely related to the composition, physical and chemical properties, and combustion environment of the fuel. This study investigates the relationship between soot propensity and the octane sensitivity of the fuel. Numerical simulations reveal that the toluene content in the fuel mixture has a significant effect on polycyclic aromatic hydrocarbons (PAHs) and soot emissions, while the alcohol content and octane sensitivity show a weak correlation. A new variable based on the elemental composition of the fuel mixture, along with octane sensitivity, can satisfactorily characterize soot emissions.
Article
Energy & Fuels
Xingyu Sun, Fan Zhang, Jingping Liu, Xiongbo Duan
Summary: This study developed a high-throughput method to predict the research octane number (RON) of gasoline by considering its properties and using the Random Forest (RF) algorithm. The experimental results showed that this method can accurately predict the RON of gasoline, thereby improving the production of commercial spark ignition engine fuels.
Article
Chemistry, Physical
Priya D. Srinivasan, Anh T. To, Daniel A. Ruddy, Aditya Bhan
Summary: This study investigates the differences between 5 wt% Cu/H-BEA and H-BEA catalysts during dimethyl ether (DME) homologation in the presence of hydrogen. The results show that Cu enables lower carbon deposition rates, increases the paraffin-to-olefin ratio, and decreases instantaneous site-loss yields, leading to improved product saturation and catalyst stability during DME homologation.
APPLIED CATALYSIS A-GENERAL
(2022)
Article
Chemistry, Multidisciplinary
Wei Zhou, Zirui Gao, Meng Wang, Genghuang Wu, Junfeng Rong, Ding Ma
Summary: The development of fermentation engineering has made isopropanol derived from lignocellulose a potential biomass platform molecule. In this study, we report the one-pot synthesis of C6+ branched compounds from isopropanol condensation on Ni/MoC catalysts, without the necessity of H-2. This route is advantageous in high-octane gasoline blendstock production.
Article
Green & Sustainable Science & Technology
Timothy J. Wallington, James E. Anderson, Robert D. De Kleine, Hyung Chul Kim, Heiko Maas, Adam R. Brandt, Gregory A. Keoleian
JOURNAL OF INDUSTRIAL ECOLOGY
(2017)
Article
Energy & Fuels
James C. Ball, James E. Anderson, Bruno P. Pivesso, Timothy J. Wallington
Correction
Engineering, Environmental
Thomas G. Leone, James E. Anderson, Richard S. Davis, Asim Iqbal, Ronald A. Reese, Michael H. Shelby, William M. Studzinski
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2017)
Article
Energy & Fuels
Hao Yuan, Yi Yang, Michael J. Brear, Tien Mun Foong, James E. Anderson
Editorial Material
Multidisciplinary Sciences
Mohammad S. Masnadi, Hassan M. El-Houjeiri, Dominik Schunack, Yunpo Li, Jacob G. Englander, Alhassan Badahdah, Jean-Christophe Monfort, James E. Anderson, Timothy J. Wallington, Joule A. Bergerson, Deborah Gordon, Jonathan Koomey, Steven Przesmitzki, Ines L. Azevedo, Xiaotao T. Bi, James E. Duffy, Garvin A. Heath, Gregory A. Keoleian, Christophe McGlade, D. Nathan Meehan, Sonia Yeh, Fengqi You, Michael Wang, Adam R. Brandt
Article
Thermodynamics
Hao Yuan, Zhewen Lu, Zhongyuan Chen, Yi Yang, Michael J. Brear, James E. Anderson, Thomas Leone
COMBUSTION AND FLAME
(2019)
Article
Energy & Fuels
James C. Ball, James E. Anderson, Timothy J. Wallington
Article
Energy & Fuels
Gina M. Fioroni, Lisa Fouts, Earl Christensen, James E. Anderson, Robert L. McCormick
Article
Engineering, Environmental
Imranul I. Laskar, Zaher Hashisho, John H. Phillips, James E. Anderson, Mark Nichols
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2019)
Article
Chemistry, Analytical
Mohammadreza Fayaz, Masoud Jahandar Lashaki, Mohammad Abdolrazzaghi, Mohammad H. Zarifi, Zaher Hashisho, Mojgan Daneshmand, James E. Anderson, Mark Nichols
SENSORS AND ACTUATORS B-CHEMICAL
(2019)
Article
Engineering, Chemical
Seyed Mojtaba Hashemi, Masoud Jahandar Lashaki, Zaher Hashisho, John H. Phillips, James E. Anderson, Mark Nichols
SEPARATION AND PURIFICATION TECHNOLOGY
(2019)
Article
Engineering, Chemical
Imranul I. Laskar, Zaher Hashisho, John H. Phillips, James E. Anderson, Mark Nichols
SEPARATION AND PURIFICATION TECHNOLOGY
(2019)
Article
Transportation Science & Technology
James E. Anderson, Travis R. Collings, Sherry A. Mueller, James C. Ball, Timothy J. Wallington
SAE INTERNATIONAL JOURNAL OF FUELS AND LUBRICANTS
(2017)
Article
Transportation Science & Technology
Keith Vertin, Brent Schuchmann, William Studzinski, Richard S. Davis, Thomas G. Leone, James E. Anderson, Asim Iqbal
SAE INTERNATIONAL JOURNAL OF FUELS AND LUBRICANTS
(2017)
Article
Biotechnology & Applied Microbiology
Robert D. De Kleine, James E. Anderson, Hyung Chul Kim, Timothy J. Wallington
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR
(2017)