- Title
- Artificial neural network modeling and sensitivity analysis of performance and emissions in a compression ignition engine using biodiesel fuel
- Creator
- Jaliliantabar, Farzad; Ghobadian, Barat; Najafi, Gholamhassan; Yusaf, Talal
- Date
- 2018
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165652
- Identifier
- vital:13299
- Identifier
-
https://doi.org/10.3390/en11092410
- Identifier
- ISBN:1996-1073
- Abstract
- In the present research work, a neural network model has been developed to predict the exhaust emissions and performance of a compression ignition engine. The significance and novelty of the work, with respect to existing literature, is the application of sensitivity analysis and an artificial neural network (ANN) simultaneously in order to predict the engine parameters. The inputs of the model were engine load (0, 25, 50, 75 and 100%), engine speed (1700, 2100, 2500 and 2900 rpm) and the percent of biodiesel fuel derived from waste cooking oil in diesel fuel (B0, B5, B10, B15 and B20). The relationship between the input parameters and engine cylinder performance and emissions can be determined by the network. The global sensitivity analysis results show that all the investigated factors are effective on the created model and cannot be ignored. In addition, it is found that the most emissions decreased while using biodiesel fuel in the compression ignition engine.
- Publisher
- MDPI
- Relation
- Energies Vol. 11, no. 9 (2018), p. 1-24
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 02 Physical Sciences; 09 Engineering; ANN; Emission; MLP; Sensitivity analysis; Waste cooking oil biodiesel; Performance
- Full Text
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