A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties

dc.contributor.author	Κορώνης, Δημήτριος	el
dc.contributor.author	Λόης, Ευριπίδης	el
dc.contributor.author	Ζαννίκος, Φανούριος	el
dc.contributor.author	Αλεξανδρίδης, Αλέξανδρος Π.	el
dc.contributor.author	Σαρίμβεης, Χαράλαμπος Κ.	el
dc.date.accessioned	2015-06-04T14:42:12Z
dc.date.issued	2015-06-04
dc.identifier.uri	http://hdl.handle.net/11400/15071
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://pubs.acs.org/	en
dc.subject	Distillation curve
dc.subject	Exhaust emissions
dc.subject	Single cylinder diesel engine
dc.subject	Καμπύλη απόσταξης
dc.subject	Εκπομπές καυσαερίων
dc.subject	Μονοκύλινδρος κινητήρας ντίζελ
dc.title	A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Environmental technology
heal.classification	Τεχνολογία
heal.classification	Περιβαλλοντική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://lod.nal.usda.gov/5857
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Περιβαλλοντική τεχνολογία
heal.identifier.secondary	DOI: 10.1021/ef020296p
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2003-09
heal.bibliographicCitation	KORONIS, D., LOIS, E., ZANNIKOS, F., ALEXANDRIDIS, A.P. & SARIMVEIS, H.K. (2003). A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties. Energy and Fuels. [online] 17 (5). p. 1259-1265. Available from: http://pubs.acs.org/	en
heal.abstract	This paper presents expressions correlating the exhaust emissions from a single-cylinder diesel engine with some of the most important properties of the fuels used, using a neural network approach. The exhaust emissions measured were carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter. The experiments were performed using a matrix of 59 fuels. The cetane number of the fuels covered the range 42-58, the density varied between 0.840 and 0.860 g/mL, and the sulfur content from 0.05 to 0.20 wt%. The predictions were based on specific points of the distillation curve, the cetane number, density, and kinematic viscosity of the fuels. In the case of particulate matter emissions, sulfur content was also employed. The predictions obtained were very good for all the emissions considered. The aromatic content was not used as a predictor variable, because it was found to have a strong inter-correlation with the cetane number, density, and two specific points of the distillation curve, the 50% and the 90% recovery point.	en
heal.publisher	American Chemical Society	en
heal.journalName	Energy and Fuels	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false