LAPSE:2021.0280v1
Published Article
LAPSE:2021.0280v1
Study of Performance, Emissions, and Combustion of a Common-Rail Injection Engine Fuelled with Blends of Cocos nucifera Biodiesel with Diesel Oil
Yew Heng Teoh, Heoy Geok How, Thanh Danh Le, Huu Tho Nguyen
April 29, 2021
Abstract
Renewable alternatives to fossil fuels, such as biodiesel, are necessary to lessen emission of greenhouse gases that are causing climate change. Using a high-pressure, medium-duty, common-rail, turbocharged four-cylinder diesel engine, this work studies the effect of adding Cocos nucifera biodiesel to conventional diesel on exhaust emissions, engine performance, and combustion characteristics. An analysis and characterization of the key physicochemical properties of diesel, biodiesel, and biodiesel−diesel blends were carried out. The engine was fuelled with pure petroleum diesel and blended diesel containing a 10%, 20%, 30%, and 50% volume of coconut oil at full throttle and six different speed settings, respectively. The results showed relatively close physicochemical properties between the biodiesel blend and conventional petroleum fuel. Observations made over the entire speed range indicated that a higher coconut oil biodiesel (COB) content lowers the torque and brake power compared to diesel. In the case of engine exhaust gas, a reduction in carbon monoxide (CO) and smoke emissions were observed. Notably, COB50 gives out the highest nitrogen oxides (NOx) but it is raised even for other blends. The experimental results also demonstrated that a higher COB content achieves a lower peak pressure while the peak heat release rate (PHRR) was lower than that of conventional diesel as the speed of the engine increases.
Keywords
biodiesel, coconut, combustion, common-rail
Suggested Citation
Teoh YH, How HG, Le TD, Nguyen HT. Study of Performance, Emissions, and Combustion of a Common-Rail Injection Engine Fuelled with Blends of Cocos nucifera Biodiesel with Diesel Oil. (2021). LAPSE:2021.0280v1
Author Affiliations
Teoh YH: School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia [ORCID]
How HG: Department of Engineering, School of Engineering, Computing and Built Environment, UOW Malaysia KDU Penang University College, 32 Jalan Anson, Georgetown 10400, Penang, Malaysia
Le TD: Division of Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City 760310, Vietnam; Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 760310, Vietnam [ORCID]
Nguyen HT: Department of Mechatronics Engineering Technology, Ho Chi Minh City University of Food Industry, 140 Le Trong Tan Street, Tan Phu District, Ho Chi Minh City 760310, Vietnam
Journal Name
Processes
Volume
8
Issue
10
Article Number
E1287
Year
2020
Publication Date
2020-10-14
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8101287, Publication Type: Journal Article
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Published Article

LAPSE:2021.0280v1
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https://doi.org/10.3390/pr8101287
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Apr 29, 2021
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CC BY 4.0
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[v1] (Original Submission)
Apr 29, 2021
 
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Apr 29, 2021
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v1
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Calvin Tsay
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