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Prediction and Optimization of CI Engine Performance Fueled with Biodiesel–Diesel Blend Using Response Surface Methodology

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Energy and Exergy for Sustainable and Clean Environment, Volume 1

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

The transport requirement in India is enormously increasing, which stimulates the energy utilization by 4.1–6.1% rise every year from 2010 to 2050. Additionally, the number of private vehicles keeps on increasing every year and consumes more fuel which makes India the third largest foreign buyer of crude oil in the world. Owing to this issue, the promotion of alternative fuels (biodiesel) which are from different feedstocks for transportation is necessary. These biodiesels hold enhanced emission characteristics compared with neat diesel, therefore the biodiesel can be considered as a substitute for diesel and if blended with diesel, it gives enhanced performance characteristics. Tests on the performance of the engine were carried out at different numbers of holes, different weight percentages of blends, and different loads. The objective of this work is to identify the optimal process parameter, which minimizes the Brake-Specific Energy Consumption (BSEC) and maximizes the Brake Thermal Efficiency (BTE). The experiments were designed based on the RSM Design of experiments. Using the RSM desirability function, the process parameters are optimized for better performance. The influence of process parameters on responses is investigated using ANOVA. The blending ratio has the maximum percentage contribution of 44% for BSEC and the number of holes has the maximum percentage contribution of 39.85% for BTE. The optimal parameters of four holes in the fuel injector, 40% of biodiesel with 60% of diesel, and 100% of load are identified.

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Abbreviations

ANOVA:

Analysis of variance

BTE:

Brake thermal efficiency

BSEC:

Brake-specific energy consumption

CO:

Carbon monoxide

CO2:

Carbon dioxide

CV:

Calorific value

DOE:

Design of experiments

FCC:

Face central composite

H2SO4:

Sulfuric acid

HC:

Hydrocarbon

RSM:

Response surface methodology

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Authors and Affiliations

  1. Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    R. Sakthivel, T. Mohanraj, P. Ganesh Kumar & V. Sukhapradha

Authors
  1. R. Sakthivel
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  2. T. Mohanraj
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  3. P. Ganesh Kumar
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  4. V. Sukhapradha
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Corresponding author

Correspondence to R. Sakthivel .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey

    V. Edwin Geo

  2. Université Polytechnique Hauts-de-France, LAMIH UMR CNRS 8201, INSA Hauts-de-France,, Valenciennes, France

    Fethi Aloui

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Sakthivel, R., Mohanraj, T., Ganesh Kumar, P., Sukhapradha, V. (2022). Prediction and Optimization of CI Engine Performance Fueled with Biodiesel–Diesel Blend Using Response Surface Methodology. In: Edwin Geo, V., Aloui, F. (eds) Energy and Exergy for Sustainable and Clean Environment, Volume 1. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-8278-0_12

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  • DOI: https://doi.org/10.1007/978-981-16-8278-0_12

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  • Print ISBN: 978-981-16-8277-3

  • Online ISBN: 978-981-16-8278-0

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