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Response Surface Methodology Based Multi-objective Optimization of the Performance-Emission Profile of a CI Engine Running on Ethanol in Blends with Diesel

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Biofuels

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

Abstract

The present study is aimed at optimizing the effect of ethanol-diesel blends on the performance and emission characteristics of a single cylinder (indirect injection) four-stroke diesel engine at different loads. Hexane was used as a co-solvent for higher ethanol concentration while Diethyl ether (DEE) was added as an ignition improver. D-optimal was chosen as the Design of experiment methodology. Quadratic polynomial models were constructed for the desired emission-performance parameters based on experimental data through the Response Surface Methodology NOx, CO and HC were chosen as the emission output parameters while BSFC. Load and ethanol-hexane-DEE concentration in the diesel blend were chosen as the input parameters. Multi-objective optimization involving the objective of minimizing both the emission and BSFC simultaneously yielded an optimal input condition of 5% hexane and 15% DEE in blend with 40% ethanol and diesel at 95% full load operation with 15.3% absolute error in NOx, 17.1% in HC, 1.69% in CO and 3.4% in BSFC estimation with respect to actual experimental values at the calibrated test condition predicted through RSM model optimization.

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Acknowledgements

The authors gratefully acknowledge the kind support of the AICTE (Govt. of India) grant under the RPS projects entitled “Development of an artificial intelligence model to simulate the performance and emission characteristics of a diesel engine operating in dual fuel mode with biodiesel and CNG under various EGR strategies” under Grant No: 8023/RID/RPS-4/(POLICY-III) (NER)/2011-12 and “An experimental study to explore the potential of biodiesel ethanol blend as an alternative fuel in diesel engine with hydrogen enrichment” under Grant No: 8023/BOR/RID/RPS(NER)-34/2010-11 which has made this study possible.

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Authors and Affiliations

  1. NSHM Knowledge Campus, Durgapur, India

    Probir Kumar Bose

  2. Department of Mechanical Engineering, National Institute of Technology, Agartala, India

    Vijay Narayan Bodkhe & Rahul Banerjee

  3. Department of Production Engineering, National Institute of Technology, Agartala, India

    Bishop Deb Barma

Authors
  1. Probir Kumar Bose
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  2. Vijay Narayan Bodkhe
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  3. Bishop Deb Barma
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  4. Rahul Banerjee
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Corresponding author

Correspondence to Probir Kumar Bose .

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Editors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Avinash Kumar Agarwal

  2. Department of Chemistry, Indian Institute of Technology Kanpur , Kanpur, Uttar Pradesh, India

    Rashmi Avinash Agarwal

  3. Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Tarun Gupta

  4. Head, Centre for Transportation Systems (CTRANS), Indian Institute of Technology Roorkee , Roorkee, Uttarakhand, India

    Bhola Ram Gurjar

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Bose, P.K., Bodkhe, V.N., Barma, B.D., Banerjee, R. (2017). Response Surface Methodology Based Multi-objective Optimization of the Performance-Emission Profile of a CI Engine Running on Ethanol in Blends with Diesel. In: Agarwal, A., Agarwal, R., Gupta, T., Gurjar, B. (eds) Biofuels. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-3791-7_11

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  • DOI: https://doi.org/10.1007/978-981-10-3791-7_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3790-0

  • Online ISBN: 978-981-10-3791-7

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