Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings
- 31 July 2011
- journal article
- Published by Elsevier BV in Applied Energy
- Vol. 88 (7), 2344-2354
- https://doi.org/10.1016/j.apenergy.2010.12.030
Abstract
No abstract availableThis publication has 25 references indexed in Scilit:
- Experimental investigation of the effect of compression ratio and injection pressure in a direct injection diesel engine running on Jatropha methyl esterApplied Thermal Engineering, 2010
- Experimental investigation on the performance and emissions of a diesel engine fuelled with ethanol–diesel blendsApplied Thermal Engineering, 2009
- The effect of biodiesel fuel obtained from waste frying oil on direct injection diesel engine performance and exhaust emissionsRenewable Energy, 2008
- The performance and the gaseous emissions of two small marine craft diesel engines fuelled with biodieselApplied Thermal Engineering, 2008
- Performance and exhaust emissions of a gasoline engine using artificial neural networkApplied Thermal Engineering, 2007
- Acid-catalyzed production of biodiesel from waste frying oilBiomass and Bioenergy, 2006
- A comprehensive review for industrial applicability of artificial neural networksIEEE Transactions on Industrial Electronics, 2003
- Methanolysis of used frying oilFuel Processing Technology, 2003
- Neural networks?a new approach to model vapour-compression heat pumpsInternational Journal of Energy Research, 2001
- Power plant condenser performance forecasting using a non-fully connected artificial neural networkEnergy, 2001