Impact of physical properties of biodiesel on the injection process in a common-rail direct injection system

Boudy, Frédéric; Seers, Patrice

doi:10.1016/j.enconman.2009.07.005

Cited by 155 publications

(109 citation statements)

References 17 publications

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“…Most of these studies treat the engine as a "black box" comparing standard fuel and biodiesel (pure or blended) mainly in terms of emissions, concluding on important reductions. Nevertheless, there are few studies dealing with the impact of physical properties of biodiesel on the injection process [11], [12]. In fact, the use of biodiesel could have clear consequences on the injection system operation.…”

Section: Introductionmentioning

confidence: 99%

Using one-dimensional modeling to analyse the influence of the use of biodiesels on the dynamic behavior of solenoid-operated injectors in common rail systems: Detailed injection system model

Payri

Salvador²,

Martí-Aldaraví³

et al. 2012

Energy Conversion and Management

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A combined experimental and computational investigation has been performed in order to evaluate the influence of physical properties of biodiesel on the injection process in a common-direct injection system with second generation solenoid injectors. For that purpose, after a complete characterization of the system, which involved mechanical and hydraulic characterization, a one-dimensional model has been obtained and extensively validated. Simulations have then been performed with a standard Diesel and a 100% rape methyl ester (RME) biodiesel which allowed a comparison and analysis of the dynamic response of the injector to be done. Different injection strategies involving main injection and main plus post-injection have been used to explore the impact of the use of biodiesel on the performance and stability of solenoid injectors.As far as the dynamic response of the injector is concerned, the results obtained have clearly shown that the use of biodiesel affects the dynamic response of the needle, especially at low injection pressures. The behavior of the system under multi-injection strategies (main plus post injection) has been also evaluated determining for different operating conditions (injection pressures and backpressures) the minimum dwell time between injections to assure a stable behavior in the injection process (mass flow rate).Important differences have been found between biodiesel and standard diesel in this critical parameter at low injection pressures, becoming less important at high injection pressure. Finally, a modification on the injector hardware has been proposed in order to compensate these differences.

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Section: Introductionmentioning

confidence: 99%

Using one-dimensional modeling to analyse the influence of the use of biodiesels on the dynamic behavior of solenoid-operated injectors in common rail systems: Detailed injection system model

Payri

Salvador²,

Martí-Aldaraví³

et al. 2012

Energy Conversion and Management

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show abstract

“…For this reason, there are still important uncertainties with respect to the influence of using biofuels on the hydraulic behavior of injection systems. One-dimensional approaches have demonstrated their ability to reproduce the discharge characteristic of diesel injectors once they are completely characterized [11]- [13]. Beside this, different investigations have been carried out with standard diesel fuels to characterize nozzle flow, spray behavior and combustion process, seeing that there is a significant interaction between the hydraulic behavior of the injection system and posterior phenomena such as air-fuel mixing process or pollutant formation [14]- [20].…”

Section: Introductionmentioning

confidence: 99%

Using one-dimensional modeling to analyze the influence of the use of biodiesels on the dynamic behavior of solenoid-operated injectors in common rail systems: Results of the simulations and discussion

Salvador

Gimeno

Morena

et al. 2012

Energy Conversion and Management

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The influence of using biodiesel fuels on the hydraulic behavior of a solenoid operated common rail injection system has been explored by means of a one-dimensional model. This model has been previously obtained, including a complete characterization of the different components of the injector (mainly the nozzle, the injector holder and the electrovalve), and extensively validated by means of mass flow rate results under different conditions. After that, both single and multiple injection strategies have been analyzed, using a standard diesel fuel and rapeseed methyl ester (RME) as working fluids. Single long injections allowed the characterization of the hydraulic delay of the injector, the needle dynamics and the discharge capability of the couple injector-nozzle for the two fuels considered. Meanwhile, the effect of biodiesel on main plus post injection strategies has been evaluated in several aspects, such as the separation of the two injections or the effect of the main injection on the post injection fueling. Finally, a modification in the injector hardware has been proposed in order to have similar performances using biodiesel as the original injector configuration using standard diesel fuel.

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“…This is because in a diesel engine fuel injection system, pumps and injectors must deliver a precise amount of fuel to provide proper combustion [101,102]. However, fuel injection pumps meter fuel by volume and not by mass, leading to denser fuel which contains a greater mass for the same volume.…”

Section: Densitymentioning

confidence: 99%

The Use of Artificial Neural Networks for Identifying Sustainable Biodiesel Feedstocks

et al. 2013

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Abstract:Over the past few decades, biodiesel produced from oilseed crops and animal fat is receiving much attention as a renewable and sustainable alternative for automobile engine fuels, and particularly petroleum diesel. However, current biodiesel production is heavily dependent on edible oil feedstocks which are unlikely to be sustainable in the longer term due to the rising food prices and the concerns about automobile engine durability. Therefore, there is an urgent need for researchers to identify and develop sustainable biodiesel feedstocks which overcome the disadvantages of current ones. On the other hand, artificial neural network (ANN) modeling has been successfully used in recent years to gain new knowledge in various disciplines. The main goal of this article is to review recent literatures and assess the state of the art on the use of ANN as a modeling tool for future generation biodiesel feedstocks. Biodiesel feedstocks, production processes, chemical compositions, standards, physio-chemical properties and in-use performance are discussed. Limitations of current biodiesel feedstocks over future generation biodiesel feedstock have been identified. The application of ANN in modeling key biodiesel quality parameters and combustion performance in automobile engines is also discussed. This review has determined that ANN modeling has a high potential to contribute to the development of renewable energy systems by accelerating biodiesel research.

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Impact of physical properties of biodiesel on the injection process in a common-rail direct injection system

Cited by 155 publications

References 17 publications

Using one-dimensional modeling to analyse the influence of the use of biodiesels on the dynamic behavior of solenoid-operated injectors in common rail systems: Detailed injection system model

Using one-dimensional modeling to analyse the influence of the use of biodiesels on the dynamic behavior of solenoid-operated injectors in common rail systems: Detailed injection system model

Using one-dimensional modeling to analyze the influence of the use of biodiesels on the dynamic behavior of solenoid-operated injectors in common rail systems: Results of the simulations and discussion

The Use of Artificial Neural Networks for Identifying Sustainable Biodiesel Feedstocks

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