| Issue |
E3S Web Conf.
Volume 697, 2026
The 5th International Conference on Renewable & Sustainable Energies and Green Processes (RSEGP2025)
|
|
|---|---|---|
| Article Number | 00019 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/202669700019 | |
| Published online | 13 March 2026 | |
A Numerical Comparison of the Combustion of Biodiesel Blend and Pure Diesel in a Single Cylinder Diesel Engine
1 Laboratory of Mechanical Modeling, Energy and Materials (LM2EM), National Engineering School of Gabes, University of Gabes, Tunisia.
2 higher Institute of Industrial Systems of Gabes (ISSIG), University of Gabes, Tunisia.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study investigates numerically the effects of biodiesel blend on engine performance and emissions. The tested engine worked at a fixed speed and with predefined conditions. The tested blends were pure diesel and pure biodiesel blends. A numerical model was developed on ANSYS FORTE software. Results indicated that biodiesel blend reduce significantly carbon monoxide and other pollutant emissions, by about 60 % and 30% respectively. This found was attributed to the characteristics of this blend, which contain a high amount of oxygen. Also this work demonstrated that biodiesel could improve the engine power, and this could be attributed to the high amount of oxygen in biodiesel which enhances the combustion. This work lays the groundwork for future investigations, including a basis for optimizing engine performance and emissions when using alternative fuels.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.