Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels

This paper proposes a novel virtual engine calibration method for alternative fuels using thermodynamic simulation for in-cylinder pressure prediction. Based on known engine data, including the crank angle of the peak cylinder pressure, the optimization problem is defined for a desired indicated mea...

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Autores principales:	Sami Massalami Mohammed Elmassalami Ayad, Carolina Locatelli Vago, Carlos Rodrigues Pereira Belchior, José Ricardo Sodré
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Engine simulation Calibration model Cylinder pressure Alternative fuels Ethanol conversion Hydrogen energy Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/80b6b25a83bf4fd8af778c04daf60b9a
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spelling	oai:doaj.org-article:80b6b25a83bf4fd8af778c04daf60b9a2021-11-28T04:33:45ZCylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels2352-484710.1016/j.egyr.2021.06.015https://doaj.org/article/80b6b25a83bf4fd8af778c04daf60b9a2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721003772https://doaj.org/toc/2352-4847This paper proposes a novel virtual engine calibration method for alternative fuels using thermodynamic simulation for in-cylinder pressure prediction. Based on known engine data, including the crank angle of the peak cylinder pressure, the optimization problem is defined for a desired indicated mean effective pressure. The decision variables are the combustion and heat transfer model parameters The method was tested for three different engines of different sizes, operating with ethanol, hydrogen and natural gas, and different equivalence ratios. The Wiebe model and a quasi-dimensional fractal combustion model were compared. The results showed that the method was able to successfully predict the in-cylinder pressure curve, with a coefficient of determination higher than 0.99. Furthermore, the method predicted the peak pressure and the crank angle corresponding to 50% of mass fraction burned with a maximum deviation of 2.5% and 1.5 °CA, respectively.Sami Massalami Mohammed Elmassalami AyadCarolina Locatelli VagoCarlos Rodrigues Pereira BelchiorJosé Ricardo SodréElsevierarticleEngine simulationCalibration modelCylinder pressureAlternative fuelsEthanol conversionHydrogen energyElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 7940-7954 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engine simulation Calibration model Cylinder pressure Alternative fuels Ethanol conversion Hydrogen energy Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Engine simulation Calibration model Cylinder pressure Alternative fuels Ethanol conversion Hydrogen energy Electrical engineering. Electronics. Nuclear engineering TK1-9971 Sami Massalami Mohammed Elmassalami Ayad Carolina Locatelli Vago Carlos Rodrigues Pereira Belchior José Ricardo Sodré Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels
description	This paper proposes a novel virtual engine calibration method for alternative fuels using thermodynamic simulation for in-cylinder pressure prediction. Based on known engine data, including the crank angle of the peak cylinder pressure, the optimization problem is defined for a desired indicated mean effective pressure. The decision variables are the combustion and heat transfer model parameters The method was tested for three different engines of different sizes, operating with ethanol, hydrogen and natural gas, and different equivalence ratios. The Wiebe model and a quasi-dimensional fractal combustion model were compared. The results showed that the method was able to successfully predict the in-cylinder pressure curve, with a coefficient of determination higher than 0.99. Furthermore, the method predicted the peak pressure and the crank angle corresponding to 50% of mass fraction burned with a maximum deviation of 2.5% and 1.5 °CA, respectively.
format	article
author	Sami Massalami Mohammed Elmassalami Ayad Carolina Locatelli Vago Carlos Rodrigues Pereira Belchior José Ricardo Sodré
author_facet	Sami Massalami Mohammed Elmassalami Ayad Carolina Locatelli Vago Carlos Rodrigues Pereira Belchior José Ricardo Sodré
author_sort	Sami Massalami Mohammed Elmassalami Ayad
title	Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels
title_short	Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels
title_full	Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels
title_fullStr	Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels
title_full_unstemmed	Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels
title_sort	cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/80b6b25a83bf4fd8af778c04daf60b9a
work_keys_str_mv	AT samimassalamimohammedelmassalamiayad cylinderpressurebasedcalibrationmodelforenginesusingethanolhydrogenandnaturalgasasalternativefuels AT carolinalocatellivago cylinderpressurebasedcalibrationmodelforenginesusingethanolhydrogenandnaturalgasasalternativefuels AT carlosrodriguespereirabelchior cylinderpressurebasedcalibrationmodelforenginesusingethanolhydrogenandnaturalgasasalternativefuels AT josericardosodre cylinderpressurebasedcalibrationmodelforenginesusingethanolhydrogenandnaturalgasasalternativefuels
_version_	1718408327600275456

Cylinder pressure based calibration model for engines using ethanol, hydrogen and natural gas as alternative fuels

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