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Data set for influence of blends of diesel and renewable fuels on compression ignition engine emissions

Van Niekerk, Adriaan; Drew, Benjamin; Larsen, Neil; Kay, Peter

Authors

Benjamin Drew Benjamin.Drew@uwe.ac.uk
Senior Lecturer in Mechanical & Motor Sport Engineering

Neil Larsen Neil.Larsen@uwe.ac.uk
AHOD in Mechanical and Aerospace

Peter Kay Peter2.Kay@uwe.ac.uk
AHOD in Mechanical and Automative



Abstract

The present data article is based on the research work which investigates the influence of blends of diesel and renewable fuels on compression ignition engine emissions. In this experimental work, a 2.4 L, turbocharged, direct injection compression ignition engine and water brake dynamometer were used. Different ternary blends were created by mixing diesel, biodiesel and ethanol together in accordance with a mixture design of experiments. The homogeneity of each ternary blend was qualitatively checked by observing the samples for 24 hours for visible separation.

The engine was run over the WLTP drive cycle for each individual ternary blend and the exhaust emissions were recorded. NOVA 7466K and TESTO 350 gas analysers were used to record the exhaust emissions. A factory standard MAF sensor was used to record the inlet air mass flow and an aftermarket ECU was used to determine the fuel flow. The ternary blends were blended using standard laboratory measuring equipment.

Citation

Van Niekerk, A., Drew, B., Larsen, N., & Kay, P. (2020). Data set for influence of blends of diesel and renewable fuels on compression ignition engine emissions. Data in Brief, 28, https://doi.org/10.1016/j.dib.2019.104836

Journal Article Type Article
Acceptance Date Nov 11, 2019
Online Publication Date Nov 18, 2019
Publication Date Feb 1, 2020
Deposit Date Nov 13, 2019
Publicly Available Date Nov 29, 2019
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 28
Article Number 104836
DOI https://doi.org/10.1016/j.dib.2019.104836
Keywords Biodiesel; Ethanol; Engine emissions; Ternary blend; Design of experiment; WLTP
Public URL https://uwe-repository.worktribe.com/output/4569261

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