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dc.contributor.authorGeorge M. Kosmadakis
dc.contributor.authorDimitrios C. Rakopoulos
dc.contributor.authorConstantine D. Rakopoulos
dc.date.accessioned2023-08-16T19:11:38Z
dc.date.available2023-08-16T19:11:38Z
dc.date.issued2023/02/01
dc.identifier.otherJLEED9.EYENG-4620.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292912
dc.description.abstractThe effect of two mechanisms that contribute to the cyclic variability of a spark-ignition (SI) engine fueled with lean methane–hydrogen blends was examined. This assessment was performed using a research computational fluid dynamics (CFD) code, employing a fast methodology that allowed the simulation of several cases (three per mechanism and per case) and thus greatly reduced the computational time. The first mechanism is related to the local gas turbulent properties at the spark plug, and the second mechanism is related to the fuel mass variation per cycle. The engine performance and emissions results were processed using a linear regression approach, and then using a Monte Carlo–based approach to extract the main indicators such as the coefficient of variation (COV) of the indicated mean effective pressure (IMEP) for each individual mechanism as well as for their combination. It was found that the contribution of the first mechanism is significant and it mainly affects the initial flame propagation process. On the other hand, the second mechanism affects the equivalence ratio and subsequently the whole combustion process with a high variability of CO emissions, and its uncertainty was accounted for by expanding its range.
dc.publisherAmerican Society of Civil Engineers
dc.titleEffect of Two Mechanisms Contributing to the Cyclic Variability of a Methane–Hydrogen-Fueled Spark-Ignition Engine by Using a Fast CFD Methodology
dc.typeJournal Article
dc.journal.volume149
dc.journal.issue1
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/JLEED9.EYENG-4620
dc.journal.fristpage04022058-1
dc.journal.lastpage04022058-8
dc.page8
dc.treeJournal of Energy Engineering:;2023:;Volume ( 149 ):;issue: 001
dc.contenttypeFulltext


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