CQUniversity
Browse

File(s) not publicly available

Modelling and experimental investigation of engine performance and emissions fuelled with biodiesel produced from Australian Beauty Leaf Tree

journal contribution
posted on 2017-12-06, 00:00 authored by Nur HassanNur Hassan, Mohammad RasulMohammad Rasul, C Harch
This study first experimentally investigates the performance and exhausts emissions of a compression ignition (CI) engine fuelled with biodiesel produced from Australian beauty leaf tree (BLT) oil and compares these results with that of petroleum diesel. Then, an engine combustion model is developed using computational fluid dynamics (CFD) software, AVL Fire, to predict the engine performance and emission of those biodiesels and petroleum diesel. Experiments were done according to ISO 8178 standard enginetest procedure using B5 biodiesel (5% BLT blend), B10 (10% BLT blend) and petroleum diesel in a 4-cylinderengine test-bed equipped with necessary dynamometer and sensors. The measurements were done for engine power, torque, specific fuel consumption and engine emissions. The combustion model is validated with the experimentally measured data, which shows very good agreement between them, more specifically variation of only up to 4.4% in power, 4.0% in torque and 3.3% in specific fuel consumption was found. The experimental results show that overall B10 biodiesel provides significantly reducedengine emissions, up to 18% compared to petroleum diesel. The validated model is then used to optimise the engine performance and emissions as a function of operating parameters such as ignition timing, crank angles and compression ratios. The simulation results show that B10 provides a slight improvement in performance and significant reduction in emission. It is believed that this paper provides a solid base of new knowledge towards achieving a sustainable BLT biodiesel industry.

History

Volume

150

Start Page

625

End Page

635

Number of Pages

11

eISSN

1873-7153

ISSN

0016-2361

Location

UK

Publisher

Elsevier

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

School of Engineering and Technology (2013- ); TBA Research Institute;

Era Eligible

  • Yes

Journal

Fuel.