Optimal operating conditions for wet ethanol in a HCCI engine using exhaust gas heat recovery

Saxena, Samveg; Vuilleumier, David; Kozarac, Darko; Krieck, Martin; Dibble, Robert W.; Aceves, Salvador M.

doi:10.1016/j.apenergy.2013.11.033

Cited by 55 publications

(16 citation statements)

References 22 publications

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“…For both experimental and simulated data, the E70W30 showed the best results, followed by the E80W20. The simulated data show that the ignition advance used in MBT trials can increase the power output for the wet ethanol blends, a result that is in agreement with the one found by Saxena et al [17] for the HCCI engine.…”

Section: Tests Analysis and Comparisonsupporting

confidence: 90%

Experimental analysis and modeling of internal combustion engine operating with wet ethanol

Ambrós

Lanzanova

Fagundez

et al. 2015

Fuel

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a b s t r a c tThe use of ethanol as fuel has encouraged many countries to improve their production processes. However, costs related to its current production model have been occasionally mentioned as a disadvantage to the use of this biofuel. One of the main costs is the energy expenditure for an effective distillation of the fermented ethanol wort, to result a final product called hydrous ethanol (about 95% by volume of ethanol in water). A promising alternative is the use of ethanol fuel with high fractions of water (above 5% by volume), the so-called wet ethanol, which would reduce the energy cost of production during the distillation. Thus, this study proposes the development of a mathematical model that, along with experimental data, is able to predict the effect that the use of wet ethanol has on the performance of internal combustion engines. In order to do so, along with commercial hydrous ethanol, blends were prepared with the following volume fractions of water: 10% (E90W10), 20% (E80W20), 30% (E70W30) and 40% (E60W40). Tests were performed considering two engine operating conditions: (a) fixed ignition timing and (b) adjusted ignition timing for maximum engine torque. The model was able to successfully simulate the gradients of pressure and temperature in the cylinder and it showed good ability to predict engine performance based on the variations of power, torque, conversion efficiency, and specific fuel consumption. Except for the specific fuel consumption, where the estimated error for variations was greater than 20%, the estimates for the other performance parameter presented relative errors lower than 7%. For all tests, the relative error was lower than 13%. The gradual increase of specific fuel consumption was associated with the increasing water content. Among the fuels tested, E70W30 showed the best performance, followed by the E80W20 blend; both were more efficient than the commercial ethanol.

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Section: Tests Analysis and Comparisonsupporting

confidence: 90%

Experimental analysis and modeling of internal combustion engine operating with wet ethanol

Ambrós

Lanzanova

Fagundez

et al. 2015

Fuel

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“…Homogeneous charge compression ignition (HCCI) is an advanced viable fuel-flexible combustion mode which can be utilized with a wide range of octane or cetane fuels. HCCI also offers thermal efficiency as high as 50% [3] and low engine-out emissions, particularly negligible nitrogen oxides (NOx) and particulate matter (PM), compared to conventional spark ignition (SI) and compression ignition (CI) engines [4]. This paper centers on modeling and predicting the performance of HCCI engines powered by renewable oxygenated fuels.…”

Section: Introductionmentioning

confidence: 99%

Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks

et al. 2015

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“…The most significant drawback, however, is the inability to control the ignition timing and the combustion rate, in order to extend the operating limits of HCCI combustion to a wider loadengine speed region. Various strategies have been proposed to control the combustion and ignition process such as valve timing, external or internal EGR, controlling the reactivity of the mixture by using fuel blends, resorting to partial stratification of the charge, multiple injections etc [1,[4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Initial conditions for the comparison of adiabatic (AD) and non-adiabatic (HT) multizone model modes.CaseT m (K) T max À T min (K) (all zones)T max À T min (K) (zones[10][11][12][13][14][15][16] …”

mentioning

confidence: 99%

The effect of thermal stratification on HCCI combustion: A numerical investigation

Komninos

2015

Applied Energy

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Optimal operating conditions for wet ethanol in a HCCI engine using exhaust gas heat recovery

Cited by 55 publications

References 22 publications

Experimental analysis and modeling of internal combustion engine operating with wet ethanol

Experimental analysis and modeling of internal combustion engine operating with wet ethanol

Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks

The effect of thermal stratification on HCCI combustion: A numerical investigation

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