A statistical investigation of biodiesel effects on regulated exhaust emissions during transient cycles

Giakoumis, EG

dc.contributor.author	Giakoumis, EG	en
dc.date.accessioned	2014-03-01T02:07:30Z
dc.date.available	2014-03-01T02:07:30Z
dc.date.issued	2012	en
dc.identifier.issn	03062619	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29567
dc.subject	Biodiesel	en
dc.subject	Diesel engines	en
dc.subject	Exhaust emissions	en
dc.subject	Statistical analysis	en
dc.subject	Transient cycles	en
dc.subject.other	Biodiesel blends	en
dc.subject.other	Biodiesel feedstock	en
dc.subject.other	Driving cycle	en
dc.subject.other	Emission change	en
dc.subject.other	Emission measurement	en
dc.subject.other	Engine models	en
dc.subject.other	Exhaust emission	en
dc.subject.other	Exhaust pollutants	en
dc.subject.other	Fuel blends	en
dc.subject.other	Light-duty	en
dc.subject.other	Long term planning	en
dc.subject.other	Quadratic regression	en
dc.subject.other	Statistical datas	en
dc.subject.other	Transient cycle	en
dc.subject.other	Vehicle fleets	en
dc.subject.other	Blending	en
dc.subject.other	Diesel engines	en
dc.subject.other	Statistical methods	en
dc.subject.other	Biodiesel	en
dc.subject.other	biofuel	en
dc.subject.other	combustion	en
dc.subject.other	decision making	en
dc.subject.other	engine	en
dc.subject.other	estimation method	en
dc.subject.other	exhaust emission	en
dc.subject.other	measurement method	en
dc.subject.other	numerical model	en
dc.subject.other	regression analysis	en
dc.title	A statistical investigation of biodiesel effects on regulated exhaust emissions during transient cycles	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.apenergy.2012.03.037	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.apenergy.2012.03.037	en
heal.publicationDate	2012	en
heal.abstract	In the present work, a statistical investigation is conducted in order to quantify the effects of biodiesel blending on the regulated exhaust emissions. To this aim, the available literature on biodiesel emissions during transient/driving cycles up to the end of 2011 was gathered and the reported measurements were statistically analyzed with respect to the biodiesel percentage in the fuel blend. From the analysis, collective results, statistical data and best-fit quadratic regression curves are derived based on the emission measurements from all driving cycles. Furthermore, the effects of engine type (heavy or light-duty), dynamometer schedule (chassis or engine), engine model year and biodiesel feedstock are deducted, with separate best-fit curves provided for each case and for each exhaust pollutant. The various trends observed are discussed and explained based on fundamental aspects of diesel engine combustion and emissions. It is believed that the results of this study can prove useful to administrations and international institutions by providing a good estimate of the vehicle fleet's expected emission changes when running on biodiesel blends over neat diesel, enabling long-term planning and accommodating decision making. © 2012 Elsevier Ltd.	en
heal.journalName	Applied Energy	en
dc.identifier.doi	10.1016/j.apenergy.2012.03.037	en
dc.identifier.volume	98	en
dc.identifier.spage	273	en
dc.identifier.epage	291	en