Nonlinear dynamics of cycle-to-cycle combustion variations in a lean-burn natural gas engine

Li, Guo-Xiu; Yao, Baofeng

doi:10.1016/j.applthermaleng.2007.04.008

Cited by 56 publications

(18 citation statements)

References 4 publications

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“…regime, load, etc). The amount chosen by other authors varies between 120 and 2000 cycles [25,33,36,46]. In order to obtain a correct diagnosis, the parameters related to the experimental measurement procedure, i.e.…”

Section: Data Analysis and Diagnostic Model Based On Genetic Algorithmentioning

confidence: 99%

Study of the cycle-to-cycle variations of an internal combustion engine fuelled with natural gas/hydrogen blends from the diagnosis of combustion pressure

Reyes¹,

Melgar²,

Pérez³

et al. 2013

International Journal of Hydrogen Energy

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Spark ignition engine Combustion diagnosisAlternative fuels Genetic algorithm a b s t r a c tA methodology is presented for studying the influence of using alternative fuels on the cycle-to-cycle variations of a spark ignition engine which has been fuelled with mixtures of natural gas and hydrogen in different proportions (0e100%). The experimental facility consists of a single-cylindrical spark ignition engine coupled to an asynchronous machine IntroductionBecause of the increasing concern about energy deficiency and environmental defence, much effort has been focused on the use of alternative fuels in internal combustion engines (ICE). Alternative fuels are clean, when compared to conventional ones derived from petroleum in ICE. Natural gas (NG) is considered to be a probable alternative fuel due to its properties and higher octane number. NG is a mixture of different gases where methane is its main constituent (75e98% of methane; 0.5e13% of ethane; and 0e2.6% of propane [1] Available online at www.sciencedirect.com journal h om epa ge: www.elsev ier.com/locate/he i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 8 ( 2 0 1 3 ) 1 5 4 7 7 e1 5 4 8 7

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Section: Data Analysis and Diagnostic Model Based On Genetic Algorithmentioning

confidence: 99%

Study of the cycle-to-cycle variations of an internal combustion engine fuelled with natural gas/hydrogen blends from the diagnosis of combustion pressure

Reyes¹,

Melgar²,

Pérez³

et al. 2013

International Journal of Hydrogen Energy

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“…This implies that cyclic dispersion studies conducted by manual or traditional diagnostic techniques include some degree of subjectivity in the results. Moreover, in many studies, the combustion models were simple as the one described by Li and Yao [23].…”

Section: Introductionmentioning

confidence: 99%

Characterization of cycle-to-cycle variations in a natural gas spark ignition engine

Reyes

Fluixá

Giménez

et al. 2015

Fuel

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“…Therefore, this provokes changes in performance quantities, such as power output and efficiency. For analyzing this kind of fluctuation, many authors have reported extensive work relative to CV in spark-ignition engines by means of different statistical methods, such as return maps, recurrence maps, correlation coarse-grained entropy and sample entropy [1,[10][11][12][13]. Recently, Curto-Risso et al [14] and Sen et al [2,5] investigated the complex dynamics of cycle-to-cycle heat release variations in a spark-ignition engine by using fractal and multifractal methods.…”

Section: Introductionmentioning

confidence: 99%

Fluctuations in the Energetic Properties of a Spark-Ignition Engine Model with Variability

Curto-Risso

Medina

Hernández

et al. 2013

Entropy

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We study the energetic functions obtained in a simulated spark-ignited engine that incorporates cyclic variability through a quasi-dimensional combustion model. Our analyses are focused on the effects of the fuel-air equivalence ratio of the mixture simultaneously over the cycle-to-cycle fluctuations of heat release (Q R ) and the performance outputs, such as the power (P ) and the efficiency (η). We explore the fluctuant behavior for Q R , P and η related to random variations of the basic physical parameters in an entrainment or eddy-burning combustion model. P and η show triangle shaped first return maps, while Q R exhibits a structured map, especially at intermediated fuel-air ratios. Structure disappears to a considerable extent in the case of heat release and close-to-stoichiometry fuel-air ratios. By analyzing the fractal dimension to explore the presence of correlations at different scales, we find that whereas Q R displays short-range correlations for intermediate values of the fuel ratio, both P and η are characterized by a single scaling exponent, denoting irregular fluctuations. A novel noisy loop-shaped P vs. η plot for a large number of engine cycles Entropy 2013, 15 3278 is obtained. This plot, which evidences different levels of irreversibilities as the fuel ratio changes, becomes the observed loop P vs. η curve when fluctuations are disregarded, and thus, only the mean values for efficiency and power are considered.

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Nonlinear dynamics of cycle-to-cycle combustion variations in a lean-burn natural gas engine

Cited by 56 publications

References 4 publications

Study of the cycle-to-cycle variations of an internal combustion engine fuelled with natural gas/hydrogen blends from the diagnosis of combustion pressure

Study of the cycle-to-cycle variations of an internal combustion engine fuelled with natural gas/hydrogen blends from the diagnosis of combustion pressure

Characterization of cycle-to-cycle variations in a natural gas spark ignition engine

Fluctuations in the Energetic Properties of a Spark-Ignition Engine Model with Variability

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