Performance comparison of empirical model and Particle Swarm Optimization & its boiling point prediction models for waste sunflower oil biodiesel

Abstract
The absence of correlations for predicting the boiling point of biodiesels prevents fuel users to achieve effective engine performance. Among the quality regulator of rudimentary fuel properties is the boiling point and its absence in literature is preventing fuel handlers to achieve actual engine performance. In this study, the mechanism of sunflower oil methanolysis was investigated by Response Surface Methodology (RSM) and Particle Swarm Optimization (PSO). The empirical\r\nmodel (EM) was utilized to correlate the optimal yield and trans-esterification variables for methylic biodiesel production. Thereafter, statistical regression techniques were employed to model the MBP of biodiesel vs. biodiesel fraction and MBP of biodiesel vs. kinematic viscosity.

Author
Mohammad Kaveh

DOI
https://doi.org/10.1016/j.csite.2022.101947

Publisher
Case Studies in Thermal Engineering

ISSN
2214-157X

Publish Date: