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Methods in S.I. Engine Modelling: Auto-calibration of Combustion and Heat Transfer Models, and Exergy Analysis

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Engine Modeling and Simulation

Part of the book series: Energy, Environment, and Sustainability ((ENENSU))

Abstract

This chapter reports on a workflow aimed at obtaining deeper insights into spark ignition engines using thermodynamic modelling. This workflow is divided into two steps: (i) Auto-calibration of combustion and heat transfer models using AVL Boost® and AVL Design Explorer; and (ii) in-cylinder exergy analysis using Wolfram Mathematica®. Model calibration is usually based on experimental pressure curve and combustion data. However, there is a gap in methods that generate accurate simulation results, while calibrating the combustion and heat transfer models without prior experimental results. Thus, the authors proposed an approach in their earlier work to address this gap. In this chapter, this proposed approach has been complemented with exergy analysis to form a complete workflow for engine research using simulation. This workflow was applied to a 4-cylinder gasoline engine template model as a case study. First, the combustion and heat transfer models are parametrized and used as design variables of an optimization problem. The objective functions in this problem are the combustion phasing, here defined as the crank angle in which the peak cylinder pressure occurs CApp, and the mechanical load, here defined as the indicated mean effective pressure IMEP. The appropriate temperature constraints were included to guarantee that the engine model was representative of the physical problem. The optimization problem is then solved for a target IMEP and CApp and the results are analyzed. Afterwards, we begin the exergy analysis of the engine to obtain deeper insights. The resulting curves for the thermodynamic state properties and species’ molar fraction are exported from the simulation software to a program in Wolfram Mathematica that does the exergy analysis of the engine, providing deeper insights into the useful work available in the engine, losses due to heat transfer, losses in the exhaust gases, and combustion irreversibilities. This analysis can be very useful in determining the best fuel mixture, operating conditions, and areas for improvement.

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Acknowledgements

This study was financed in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Sami M. M. E. Ayad & Carlos R. P. Belchior

  2. Department of Mechanical Engineering and Design, Aston University, Birmingham, UK

    José R. Sodré

Authors
  1. Sami M. M. E. Ayad
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  2. Carlos R. P. Belchior
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  3. José R. Sodré
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Corresponding author

Correspondence to Sami M. M. E. Ayad .

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Editors and Affiliations

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

    Avinash Kumar Agarwal

  2. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, kanpur, India

    Dhananjay Kumar

  3. Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur (MNIT), Jaipur, India

    Nikhil Sharma

  4. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    Utkarsha Sonawane

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Ayad, S.M.M.E., Belchior, C.R.P., Sodré, J.R. (2022). Methods in S.I. Engine Modelling: Auto-calibration of Combustion and Heat Transfer Models, and Exergy Analysis. In: Agarwal, A.K., Kumar, D., Sharma, N., Sonawane, U. (eds) Engine Modeling and Simulation. Energy, Environment, and Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-16-8618-4_10

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  • DOI: https://doi.org/10.1007/978-981-16-8618-4_10

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