The work focuses on studying the solubility and stability of dissolved bioethanol as a fuel additive in different fuel blends of gasoline, diesel, 50% diesel/50% biodiesel. Dissolved ethanol fuel appears as particles with a unique size distribution inside the whole fuel blends, and its stability was measured in this work. Bioethanol dissolved fuel particles stability was improved after blending the bioethanol with 50% diesel/50% biodiesel than pure diesel or pure gasoline fuel alone. The obtained results reveal that the lowest bioethanol particles stability was obtained when commixed with gasoline and the suspended ethanol particles completely accumulated at different concentrations of bioethanol in the fuel blends of 2%, 4%, 6%, 8%, 10%, and 12% by volume after 1 h of mixing time. Furthermore, the measured data of the bioethanol particles size distribution reveals that the suspended stability in the diesel blend improve slightly for all bioethanol concentrations of 10%, 15%, 20%, 25%, and 30% by volume. While the bioethanol concentrations of 5% show acceptable particles stability and size distribution during the whole experiments time. Obtained results show that bioethanol suspended particles stability was enhanced for 50% diesel/50% biodiesel blend with different bioethanol concentrations of 5%, 10%, 15%, 20%, 25%, and 30% by volume basis. However, the size of the particles increased as the bioethanol concentration rose with the passage of time.
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http://dx.doi.org/10.1186/s13068-023-02264-9 | DOI Listing |
Sci Total Environ
January 2025
Civil and Infrastructure Engineering, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia. Electronic address:
This study investigates the primary data collected at a used cooking oil (UCO) recycling facility to quantify its environmental impact when used as a rejuvenator in high content reclaimed asphalt pavement (RAP) mixes. Annual energy consumption data sets on transportation, storage, filtration, machinery, and purification are assessed using the life cycle assessment (LCA) methodology with the LCA software Simapro 9.4 to evaluate the influential parameters and processes in reducing emissions.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Information Systems, College of Computing and Informatics, The University of Sharjah, Sharjah, UAE.
This study explores the integration of nanotechnology and Long Short-Term Memory (LSTM) machine learning algorithms to enhance the understanding and optimization of fuel spray dynamics in compression ignition (CI) engines with varying bowl geometries. The incorporation of nanotechnology, through the addition of nanoparticles to conventional fuels, improves fuel atomization, combustion efficiency, and emission control. Simultaneously, LSTM models are employed to analyze and predict the complex spray behavior under diverse operational and geometric conditions.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Fuel, Minerals and Metallurgical Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India.
The Malanjkhand chalcopyrite deposit, India's primary copper ore producer, has potential for enhanced flotation performance. This study employs standard flotation experiments using a mechanical cell, integrating a conventional collecting agent with a novel ester-based collector blend. A three-factor, three-level Box-Behnken design systematically evaluated experimental parameters, analysed using ANOVA, cubic plots, response surface methodologies.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 999077, China.
An adequate understanding of the NO interacting chemistry is a prerequisite for a smoother transition to carbon-lean and carbon-free fuels such as ammonia and hydrogen. In this regard, this study presents a comprehensive study on the H atom abstraction by NO from C to C alkynes, dienes, and trienes forming 3 HNO isomers (i.e.
View Article and Find Full Text PDFScientificWorldJournal
December 2024
Department of Mechanical Engineering, Dream Institute of Technology, Kolkata, 700104, India.
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