Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy

The combination of alternate fuels, such as biodiesel, and low-temperature combustion (LTC) constitutes a promising solution to reduce pollutant emission and to avoid dependence on fossil fuels. However, this concept requires additional research to optimise LTC of biodiesel over wider operating rang...

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Main Authors: José Antonio Vélez Godiño, Miguel Torres García, Francisco José Jiménez-Espadafor Aguilar
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472201126X
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author José Antonio Vélez Godiño
Miguel Torres García
Francisco José Jiménez-Espadafor Aguilar
author_facet José Antonio Vélez Godiño
Miguel Torres García
Francisco José Jiménez-Espadafor Aguilar
author_sort José Antonio Vélez Godiño
collection DOAJ
description The combination of alternate fuels, such as biodiesel, and low-temperature combustion (LTC) constitutes a promising solution to reduce pollutant emission and to avoid dependence on fossil fuels. However, this concept requires additional research to optimise LTC of biodiesel over wider operating ranges, specifically including the implementation of numerical models to assist in the development of these engines. In this work, an experimental analysis was carried out assessing both thermal performance and emissions derived from the LTC of diesel/biodiesel blends with late direct injection. Furthermore, this analysis allowed implementing a predictive tool to characterise in-cylinder pressure trace under this operation strategy. This model was coupled with an empirical law to simulate heat release during the combustion process. Least squares method was applied to fit this empirical law to experimental data involving different conditions in terms of percentages of rapeseed biodiesel in the fuel blend, rotational speed, fuel/air equivalence ratio and percentages of external exhaust gas recirculation. To build the predictive model, a multiple regression methodology was used to correlate the law parameters with the operating conditions. Finally, a validation process based on the simulation of in-cylinder pressure trace was developed, revealing that the predictions agreed well with the experimental data. This suggests that the proposed model is able to satisfactorily predict the LTC of diesel/biodiesel blends within the test range.
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spelling doaj.art-83e3d6a093774035bdf34e2f9452d6682023-02-21T05:11:52ZengElsevierEnergy Reports2352-48472022-11-01874767487Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategyJosé Antonio Vélez Godiño0Miguel Torres García1Francisco José Jiménez-Espadafor Aguilar2Departamento de Máquinas y Motores Térmicos, Escuela Superior de Ingeniería, Universidad de Cádiz. Avda. Universidad de Cádiz, n° 10, 11519, Puerto Real (Cádiz), Spain; Corresponding author.Departamento de Ingeniería Energética, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla. Camino de los Descubrimientos, s/n, 41092, Seville, SpainDepartamento de Ingeniería Energética, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla. Camino de los Descubrimientos, s/n, 41092, Seville, SpainThe combination of alternate fuels, such as biodiesel, and low-temperature combustion (LTC) constitutes a promising solution to reduce pollutant emission and to avoid dependence on fossil fuels. However, this concept requires additional research to optimise LTC of biodiesel over wider operating ranges, specifically including the implementation of numerical models to assist in the development of these engines. In this work, an experimental analysis was carried out assessing both thermal performance and emissions derived from the LTC of diesel/biodiesel blends with late direct injection. Furthermore, this analysis allowed implementing a predictive tool to characterise in-cylinder pressure trace under this operation strategy. This model was coupled with an empirical law to simulate heat release during the combustion process. Least squares method was applied to fit this empirical law to experimental data involving different conditions in terms of percentages of rapeseed biodiesel in the fuel blend, rotational speed, fuel/air equivalence ratio and percentages of external exhaust gas recirculation. To build the predictive model, a multiple regression methodology was used to correlate the law parameters with the operating conditions. Finally, a validation process based on the simulation of in-cylinder pressure trace was developed, revealing that the predictions agreed well with the experimental data. This suggests that the proposed model is able to satisfactorily predict the LTC of diesel/biodiesel blends within the test range.http://www.sciencedirect.com/science/article/pii/S235248472201126XBiofuelsBiodieselBrassica napusLow-temperature combustionPredictive model
spellingShingle José Antonio Vélez Godiño
Miguel Torres García
Francisco José Jiménez-Espadafor Aguilar
Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy
Energy Reports
Biofuels
Biodiesel
Brassica napus
Low-temperature combustion
Predictive model
title Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy
title_full Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy
title_fullStr Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy
title_full_unstemmed Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy
title_short Experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy
title_sort experimental investigation and modelling of biodiesel combustion in engines with late direct injection strategy
topic Biofuels
Biodiesel
Brassica napus
Low-temperature combustion
Predictive model
url http://www.sciencedirect.com/science/article/pii/S235248472201126X
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AT migueltorresgarcia experimentalinvestigationandmodellingofbiodieselcombustioninengineswithlatedirectinjectionstrategy
AT franciscojosejimenezespadaforaguilar experimentalinvestigationandmodellingofbiodieselcombustioninengineswithlatedirectinjectionstrategy