Abstract

A compressible single step chemistry Direct Numerical Simulation (DNS) database of freely propagating premixed flames has been used to analyze different entropy generation mechanisms. The entropy generation due to viscous dissipation within the flames remains negligible in comparison to the other mechanisms of entropy generation. It has been found that the entropy generation increases significantly due to turbulence and the relative magnitudes of the augmentation of entropy generation and burning rates under turbulent conditions ultimately determine the value of turbulent second law efficiency in comparison to the corresponding laminar values. It has been found that the entropy generation mechanisms due to chemical reaction, thermal conduction and mass diffusion in turbulent flames strengthen with decreasing global Lewis number in comparison to the corresponding values in laminar flames. The ratio of second law efficiency under turbulent conditions to its corresponding laminar value has been found to decrease with increasing global Lewis number. An increase in heat release parameter significantly augments the entropy generation due to thermal conduction, whereas other mechanisms of entropy generation are marginally affected. However, the effects of augmented entropy generation due to thermal conduction at high values of heat release parameter are eclipsed by the increased change in availability due to chemical reaction, which leads to an increase in the second law efficiency with increasing heat release parameter for identical flow conditions. The combustion regime does not have any major influence on the augmentation of entropy generation due to chemical reaction, thermal conduction and mass diffusion in turbulent flames in comparison to corresponding laminar flames, whereas the extent of augmentation of entropy generation due to viscous dissipation in turbulent conditions in comparison to corresponding laminar flames, is more significant in the thin reaction zones regime than in the corrugated flamelets regime. However, the ratio of second law efficiency under turbulent conditions to its corresponding laminar value does not get significantly affected by the regime of combustion, as viscous dissipation plays a marginal role in the overall entropy generation in premixed flames.

Highlights

  • Entropy generation mechanisms play key roles in determining the second-law irreversibility in energy-conversion processes in internal combustion (IC) engines and gas turbines

  • The ratio of second law efficiency under turbulent conditions to its corresponding laminar value does not get significantly affected by the regime of combustion, as viscous dissipation plays a marginal role in the overall entropy generation in premixed flames

  • It has been found that the regime of combustion does not significantly affect the augmentation of entropy generation due to chemical reaction, thermal conduction and mass diffusion in turbulent flames in comparison to the corresponding laminar flames, whereas the entropy generation in turbulent flames due to viscous dissipation in comparison to the corresponding laminar flames is stronger in the thin reaction zones regime than in the corrugated flamelets regime

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Summary

Introduction

Entropy generation mechanisms play key roles in determining the second-law irreversibility in energy-conversion processes in internal combustion (IC) engines and gas turbines. A DNS database of freely propagating statistically planar turbulent premixed flames with a range of values of heat release parameters (ranging from 2.3 to 4.5) and global Lewis numbers Le (ranging from 0.34 to 1.2) spanning both the corrugated flamelets and the thin reaction zones regimes, has been considered to analyze the different entropy generation mechanisms in turbulent premixed combustion. In this respect, the main objectives of the present investigation are as follows:. Main findings will be summarized and conclusions will be drawn in the final section of this paper

Mathematical Background
Numerical Implementation
Results and Discussion
Distributions of and c
Statistical Behavior of Second-Law Efficiency II
Conclusions
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