Issue |
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
|
|
---|---|---|
Article Number | 06003 | |
Number of page(s) | 7 | |
Section | Thermal | |
DOI | https://doi.org/10.1051/e3sconf/202339906003 | |
Published online | 12 July 2023 |
Investigate the emission characteristic of biodiesel from waste cooking oil
1 Assistant Professor, Department of Automobile Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana - 500090
2 Professor, Department of Mechanical Engineering, Adhiyamaan College of Engineering, Hosur - 635109,
3 Professor, Department of Mechanical Engineering, Podhigai College of Engineering and Technology, Tirupattur, India
4 Assistant Professor, Department of Mechanical Engineering, Er. Perumal Manimegalai College of Engineering, Hosur
5 Associate Professor, Department of Mechanical Engineering, Nadar Saraswathi College of Engineering and Technology, Theni, India
* Corresponding author: radhakrishnankrce@gmail.com
This paper aims to investigate the emission characteristics of biodiesel prepared from the waste cooking oil. The characterization of the performance of the blended fuel in diesel engines results in an improvement and a reduction in hydrocarbon and carbon monoxide emissions. Various amounts of fuel were mixed with leftover cooking oil to create the final product. In order to explore the performance function, combustion range, and emission properties of diesel engines, the setup described here was developed. The combustion properties, including exhaust gas emissions of NOx, CO, CO2, HC, smoke, and O2, have been examined under various load scenarios.
© The Authors, published by EDP Sciences, 2023
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.