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Prospects of Energy Recovery in Offshore Oil and Gas Operations Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Performance Optimization of Low Proportion Biodiesel Blend on Marine Diesel Engine Using Response Surface Method

Authors : C. W. Mohd Noor, Rizalman Mamat, Mohd Fairusham Ghazali, S. M. Rosdi, Husni Husin, Bukhari Manshoor

Published in: Proceedings of the 2nd Energy Security and Chemical Engineering Congress

Publisher: Springer Nature Singapore

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Abstract

Biodiesel is an alternative source of non-fossil fuels for diesel engines and can be used without the need for engine modifications. The effects of employing low proportions of palm biodiesel blends on marine diesel engine performance are investigated in this study. Response surface methodology (RSM) model had been employed to determine the optimal operating conditions of marine diesel engine with respect to palm biodiesel blend, engine load and speed. The ANOVA analysis was selected to verify the adequacy of the model. The use of palm biodiesel blends has lowered the CO emissions while increasing BSFC and NOX emissions marginally. The results of statistically goodness of fit (R2) and the goodness of prediction (Adjusted R2) for all response parameters were above 90%. This value indicates that the developed model is able to predict the data with high accuracy. This study revealed that the optimum condition of fuel was determined as 5% palm biodiesel and 95% of petroleum diesel which operated at 1500 rpm speed and 36.97% engine loading with 78% of RSM desirability. The RSM model was tremendously helpful in structuring the experiment and lowering the amount of time required by reducing the number of experiments to be conducted.

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previous chapter Comparison of Thermal Efficiency and Heat Transfer Rate on the Fluidized-Bed Combustor Using Oil Palm Fuel
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Metadata
Title
Performance Optimization of Low Proportion Biodiesel Blend on Marine Diesel Engine Using Response Surface Method
Authors
C. W. Mohd Noor
Rizalman Mamat
Mohd Fairusham Ghazali
S. M. Rosdi
Husni Husin
Bukhari Manshoor
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Proceedings of the 2nd Energy Security and Chemical Engineering Congress

Print ISBN: 978-981-19-4424-6

Electronic ISBN: 978-981-19-4425-3

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-4425-3_22