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Lookup NU author(s): Dr Long Jiang, Dr Yadong Wang, Professor Tony Roskilly, Xialin Xie, Zhichao Zhang
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2018 Elsevier Ltd It is widely recognized that characteristics of fuel are strongly related with engine performance and exhaust emission. In this paper, a novel fuel blend is developed by adding carbon coated aluminium into diesel. Nanoparticles are blended with diesel in terms of different mass ratios, which are used for optimal selection. Thermo-physical properties of fuel blends are investigated at different testing temperatures. It is indicated that carbon coated aluminium is quite conducive to thermal conductivity but has little influence on viscosity. The highest thermal conductivity by using carbon coated aluminium could reach 0.23 W·m−1·K−1 which is improved by 15% when compared with neat diesel. Then a series of experimental tests are conducted by using a heavy duty engine. Results show that at 1810 rpm speed, brake specific fuel consumption is in the range from 0.1 kg·kWh−1 to 0.41 kg·kWh−1. By using carbon coated aluminium, brake specific fuel consumption could be reduced by up to 13.3%. The maximum emission reduction by using novel fuel blend could reach 16.7%, 48.8% and 33.5% in terms of nitrogen oxides, hydrocarbon compound and carbon monoxide. Based on improved thermos-physical properties, positive effect of carbon coated aluminium on engine performance and emissions has been demonstrated.
Author(s): Jiang L, Wang YD, Roskilly AP, Xie XL, Zhang ZC, Wang RZ
Publication type: Article
Publication status: Published
Journal: Energy Conversion and Management
Year: 2018
Volume: 171
Pages: 1540-1548
Print publication date: 01/09/2018
Online publication date: 30/06/2018
Acceptance date: 23/06/2018
Date deposited: 11/09/2018
ISSN (print): 0196-8904
ISSN (electronic): 1879-2227
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.enconman.2018.06.085
DOI: 10.1016/j.enconman.2018.06.085
Data Access Statement: http://dx.doi.org/10.17634/152536-7
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