| Issue |
MATEC Web Conf.
Volume 272, 2019
2018 2nd International Conference on Functional Materials and Chemical Engineering (ICFMCE 2018)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/matecconf/201927201009 | |
| Published online | 13 March 2019 | |
Experimental investigation and development of correlations for pongamia pinnata biodiesel
1 Department of Mechanical Engineering, Indian Institute of Technology (ISM), Dhanbad - 826004 (JH), India
2 Department of Mechanical Engineering, Maharashtra Institute of Technology, Aurangabad - 431010 (MS), India
* Corresponding author: kkenergy@gmail.com
Most promising alternative source available for fossil diesel in India is the Pongamia pinnata biodiesel (Karanja biodiesel in the Indian context). The characterization of biodiesel plays an important role in engine emission and performance. Due to oxygenation the biodiesel has low higher heating value than fossil diesel hence it is necessary to study the effect of different physio-chemical properties on higher heating value. Experimentations were conducted on 11 samples on the basis of Volume % for Pongamia Pinnata biodiesel and diesel blends in the step of 10 varying from 0% (Fossil diesel) to 100% (Pongamia pinnata biodiesel). A retrospective investigation is conducted for characterization of biodiesels and different physio-chemical properties are correlated as a function of Higher Heating Value (HHV). By the traditional statistical technique of regression analysis the correlations can predict the HHV values with the accuracy of R2=0.9907 and uncertainty of ±6.19%. HHVs obtained by performing experiments and by predicted correlations are compared with the correlations available in open literature. The study reveals that the properties of kinematic viscosity and density have a strong correlation with HHV as compared to cetane number and flash point.
© The Authors, published by EDP Sciences, 2019
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.