THERMAL SCIENCE

International Scientific Journal

Mahesh Gurusamy

,

Muralidharan Kandasamy

,

Suresh Vellaiyan

PROCESS PARAMETERS OPTIMIZATION OF WATER-WASTE DERIVED BIODIESEL EMULSION TO PERMUTE AS A SUSTAINABLE AND GREENER ENERGY SOURCE

ABSTRACT
The present study aims to optimize the process parameters to formulate a stable water-biodiesel emulsion fuel and permute it as a sustainable and greener source for biofuel application. Biodiesel is derived from waste orange peels and its chemical constituents are characterized. Water emulsion in base fuel is considered to promote energy-and-environmental impacts. As the quality of emulsion fuel depends on the physicochemical properties which are directly influenced by base fuel, water, and surfactant concentrations, a multi-response optimizationol is implemented to derive the optimum levels for process parameters. The optimization result shows that the base diesel blended with 30% orange peel oil, 10% water, and 1% surfactant promotes superior fuel quality, and the water has a maximum influence on fuel quality (54.41%). The emission assessment at peak brake mean-effective indicates that the hydrocarbon, CO, NOx, and smoke emissions are reduced by 26.9%, 49%, 4.1%, and 17.2% at optimal conditions compared to base diesel, respectively.
KEYWORDS
orange peel oil, fuel characteristics, water emulsion, multi-response optimization, emission assessment
PAPER SUBMITTED: 2022-09-09
PAPER REVISED: 2022-11-10
PAPER ACCEPTED: 2022-11-25
PUBLISHED ONLINE: 2023-05-13
DOI REFERENCE: https://doi.org/10.2298/TSCI220909091G
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 4, PAGES [2901 - 2911]
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Process parameters optimization of water-waste derived biodiesel emulsion to permute as a sustainable and greener energy source

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence