Gaseous fueling of an adapted commercial automotive spark-ignition engine: simplified thermodynamic modeling and experimental study running on hydrogen, methane, carbon monoxide and their mixtures

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Date
2023Author
Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127265OB-C21 AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PLEC2022-009221 AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-130846B-100
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https://doi.org/10.1016/j.fuel.2022.127178
Abstract
In the present work, methane, carbon monoxide, hydrogen and the binary mixtures 20 % CH4–80 % H2, 80 %
CH4–20 % H2, 25 % CO–75 % H2 (by volume) were considered as fuels of a naturally aspirated port-fuel injection
four-cylinder Volkswagen 1.4 L spark-ignition (SI) engine. The interest in these fuels lies in the fact that they can
be obtained from renewable resources such as the fermentation or ...
[++]
In the present work, methane, carbon monoxide, hydrogen and the binary mixtures 20 % CH4–80 % H2, 80 %
CH4–20 % H2, 25 % CO–75 % H2 (by volume) were considered as fuels of a naturally aspirated port-fuel injection
four-cylinder Volkswagen 1.4 L spark-ignition (SI) engine. The interest in these fuels lies in the fact that they can
be obtained from renewable resources such as the fermentation or gasification of residual biomasses as well as
the electrolysis of water with electricity of renewable origin in the case of hydrogen. In addition, they can be used
upon relatively easy modifications of the engines, including the retrofitting of existing internal combustion
engines. It has been found that the engine gives similar performance regardless the gaseous fuel nature if the
air–fuel equivalence ratio (λ) is the same. Maximum brake torque and mean effective pressure values within
45–89 N⋅m and 4.0–8.0 bar, respectively, have been obtained at values of λ between 1 and 2 at full load, engine
speed of 2000 rpm and optimum spark-advance. In contrast, the nature of the gaseous fuel had great influence
upon the range of λ values at which a fuel (either pure or blend) could be used. Methane and methane-rich
mixtures with hydrogen or carbon monoxide allowed operating the engine at close to stoichiometric conditions (i.e. 1 < λ < 1.5) yielding the highest brake torque and mean effective pressure values. On the contrary,
hydrogen and hydrogen-rich mixtures with methane or carbon monoxide could be employed only in the very
fuel-lean region (i.e. 1.5 < λ < 2). The behavior of carbon monoxide was intermediate between that of methane
and hydrogen.
The present study extends and complements previous works in which the aforementioned fuels were compared
only under stoichiometric conditions in air (λ = 1). In addition, a simple zero-dimensional thermodynamic
combustion model has been developed that allows describing qualitatively the trends set by the several fuels.
Although the model is useful to understand the influence of the fuels properties on the engine performance, its
predictive capability is limited by the simplifications made. [--]
Subject
Gaseous fuels,
Hydrogen,
Internal combustion engine,
Methane,
Thermodynamic modelling
Publisher
Elsevier
Published in
Fuel 337( 2023) 1-11
Departament
Universidad Pública de Navarra. Departamento de Ingeniería /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute for Advanced Materials and Mathematics - INAMAT2 /
Universidad Pública de Navarra. Departamento de Ciencias /
Nafarroako Unibertsitate Publikoa. Zientziak Saila
Publisher version
Sponsorship
Financial support from Spanish Ministerio de Ciencia e Innovación and Agencia Estatal de Investigación MCIN/AEI/10.13039/501100011033/ and FEDER “Una manera de hacer Europa” (grant PID2021-127265OB-C21), as well as from Plan de Recuperación, Transformación y Resiliencia and NextGenerationEU (grants PLEC2022-009221 and TED2021-130846B-100) is gratefully acknowledged. L.M. Gandía also thanks Banco de Santander and Universidad Pública de Navarra for their financial support under “Programa de Intensificación de la Investigación 2018” initiative. Authors also acknowledge Open Access Funding provided by Universidad Pública de Navarra.