Application of multicriteria decision making methods to compression ignition engine efficiency and gaseous, particulate, and greenhouse gas emissions

Surawski, NC; Miljevic, B; Bodisco, TA; Brown, RJ; Ristovski, ZD; Ayoko, GA

Application of multicriteria decision making methods to compression ignition engine efficiency and gaseous, particulate, and greenhouse gas emissions

Surawski, NC

Miljevic, B Bodisco, TA Brown, RJ Ristovski, ZD Ayoko, GA

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Publication Type:: Journal Article
Citation:: Environmental Science and Technology, 2013, 47 (4), pp. 1904 - 1912
Issue Date:: 2013-02-19

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Field	Value	Language
dc.contributor.author	Surawski, NC https://orcid.org/0000-0003-2584-1044	en_US
dc.contributor.author	Miljevic, B	en_US
dc.contributor.author	Bodisco, TA	en_US
dc.contributor.author	Brown, RJ	en_US
dc.contributor.author	Ristovski, ZD	en_US
dc.contributor.author	Ayoko, GA	en_US
dc.date.issued	2013-02-19	en_US
dc.identifier.citation	Environmental Science and Technology, 2013, 47 (4), pp. 1904 - 1912	en_US
dc.identifier.issn	0013-936X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/117141
dc.description.abstract	Compression ignition (CI) engine design is subject to many constraints, which present a multicriteria optimization problem that the engine researcher must solve. In particular, the modern CI engine must not only be efficient but must also deliver low gaseous, particulate, and life cycle greenhouse gas emissions so that its impact on urban air quality, human health, and global warming is minimized. Consequently, this study undertakes a multicriteria analysis, which seeks to identify alternative fuels, injection technologies, and combustion strategies that could potentially satisfy these CI engine design constraints. Three data sets are analyzed with the Preference Ranking Organization Method for Enrichment Evaluations and Geometrical Analysis for Interactive Aid (PROMETHEE-GAIA) algorithm to explore the impact of (1) an ethanol fumigation system, (2) alternative fuels (20% biodiesel and synthetic diesel) and alternative injection technologies (mechanical direct injection and common rail injection), and (3) various biodiesel fuels made from 3 feedstocks (i.e., soy, tallow, and canola) tested at several blend percentages (20-100%) on the resulting emissions and efficiency profile of the various test engines. The results show that moderate ethanol substitutions (∼20% by energy) at moderate load, high percentage soy blends (60-100%), and alternative fuels (biodiesel and synthetic diesel) provide an efficiency and emissions profile that yields the most "preferred" solutions to this multicriteria engine design problem. Further research is, however, required to reduce reactive oxygen species (ROS) emissions with alternative fuels and to deliver technologies that do not significantly reduce the median diameter of particle emissions. © 2013 American Chemical Society.	en_US
dc.relation.ispartof	Environmental Science and Technology	en_US
dc.relation.isbasedon	10.1021/es3035208	en_US
dc.subject.classification	Environmental Sciences	en_US
dc.subject.mesh	Gases	en_US
dc.subject.mesh	Ethanol	en_US
dc.subject.mesh	Equipment Design	en_US
dc.subject.mesh	Greenhouse Effect	en_US
dc.subject.mesh	Vehicle Emissions	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Decision Support Techniques	en_US
dc.subject.mesh	Particulate Matter	en_US
dc.subject.mesh	Biofuels	en_US
dc.title	Application of multicriteria decision making methods to compression ignition engine efficiency and gaseous, particulate, and greenhouse gas emissions	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	47	en_US
utslib.for	090201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	47	en_US

Abstract:

Compression ignition (CI) engine design is subject to many constraints, which present a multicriteria optimization problem that the engine researcher must solve. In particular, the modern CI engine must not only be efficient but must also deliver low gaseous, particulate, and life cycle greenhouse gas emissions so that its impact on urban air quality, human health, and global warming is minimized. Consequently, this study undertakes a multicriteria analysis, which seeks to identify alternative fuels, injection technologies, and combustion strategies that could potentially satisfy these CI engine design constraints. Three data sets are analyzed with the Preference Ranking Organization Method for Enrichment Evaluations and Geometrical Analysis for Interactive Aid (PROMETHEE-GAIA) algorithm to explore the impact of (1) an ethanol fumigation system, (2) alternative fuels (20% biodiesel and synthetic diesel) and alternative injection technologies (mechanical direct injection and common rail injection), and (3) various biodiesel fuels made from 3 feedstocks (i.e., soy, tallow, and canola) tested at several blend percentages (20-100%) on the resulting emissions and efficiency profile of the various test engines. The results show that moderate ethanol substitutions (∼20% by energy) at moderate load, high percentage soy blends (60-100%), and alternative fuels (biodiesel and synthetic diesel) provide an efficiency and emissions profile that yields the most "preferred" solutions to this multicriteria engine design problem. Further research is, however, required to reduce reactive oxygen species (ROS) emissions with alternative fuels and to deliver technologies that do not significantly reduce the median diameter of particle emissions. © 2013 American Chemical Society.

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http://hdl.handle.net/10453/117141