THERMAL SCIENCE

International Scientific Journal

Prabhakara Rao Ganji

,

V. R. K. Raju

,

S. Srinivasa Rao

COMPUTATIONAL OPTIMIZATION OF BIODIESEL COMBUSTION USING RESPONSE SURFACE METHODOLOGY

ABSTRACT
The present work focuses on optimization of biodiesel combustion phenomena through parametric approach using response surface methodology. Physical properties of biodiesel play a vital role for accurate simulations of the fuel spray, atomization, combustion, and emission formation processes. Typically methyl based biodiesel consists of five main types of esters: methyl palmitate, methyl oleate, methyl stearate, methyl linoleate, and methyl linolenate in its composition. Based on the amount of methyl esters present the properties of pongamia bio-diesel and its blends were estimated. CONVERGETM computational fluid dynamics software was used to simulate the fuel spray, turbulence and combustion phenomena. The simulation responses such as indicated specific fuel consumption, NOx, and soot were analyzed using design of experiments. Regression equations were developed for each of these responses. The optimum parameters were found out to be compression ratio – 16.75, start of injection – 21.9° before top dead center, and exhaust gas re-circulation – 10.94%. Results have been compared with baseline case.
KEYWORDS
CONVERGETM, optimization, pongamia biodiesel, response surface methodology, VCR engine
PAPER SUBMITTED: 2016-12-29
PAPER REVISED: 2017-02-12
PAPER ACCEPTED: 2017-02-14
PUBLISHED ONLINE: 2017-03-03
DOI REFERENCE: https://doi.org/10.2298/TSCI161229031G
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2017, VOLUME 21, ISSUE Issue 1, PAGES [465 - 473]
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Computational optimization of biodiesel combustion using response surface methodology

© 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