Combustion chemical kinetics of biodiesel and related compounds (methyl and ethyl esters): Experiments and modeling - Advances and future refinements
Identifieur interne : 000581 ( Main/Exploration ); précédent : 000580; suivant : 000582Combustion chemical kinetics of biodiesel and related compounds (methyl and ethyl esters): Experiments and modeling - Advances and future refinements
Auteurs : Lucie Coniglio [France] ; Hayet Hayet Bennadji [France] ; Pierre Alexandre Glaude [France] ; Olivier Herbinet [France] ; Francis Billaud [France]Source :
- Progress in Energy and Combustion Science [ 0360-1285 ] ; 2013-04-12.
Descripteurs français
- Wicri :
- topic : Moteur diesel.
English descriptors
- mix :
Abstract
The motivation for and challenges in reducing the world's dependence on crude oil while simultaneously improving engine performance through better fuel efficiency and reduced exhaust emissions have led to the emergence of new fuels and combustion devices. Over the past ten years, considerable effort has gone into understanding combustion phenomena in relation to emerging fuel streams entering the market. The present article focuses specifically on one typical emerging transportation fuel dedicated to the diesel engine, biodiesel, with an emphasis on ethyl esters because of recently renewed interest in its use as a completely green biofuel. Based on a review of the research developments over the past ten years in advanced experimental and kinetic modeling related to the oxidation of biodiesel and related components, the main gaps in the field are highlighted to facilitate the convergence toward clean and efficient combustion in diesel engines. After briefly outlining the synergy between "feedstocks - conversion process - biodiesel combustion", the combustion kinetics of methyl and ethyl biodiesels are reviewed with emphasis on two complementary aspects: mechanism generation based on a detailed chemical kinetic approach that leads to predictive combustion models and experimental combustion devices that generate the data required during the development and validation of the predictive models.
Url:
DOI: 10.1016/j.pecs.2013.03.002
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<orgName>Laboratoire Réactions et Génie des Procédés</orgName>
<orgName type="acronym">LRGP</orgName>
<date type="start">2013-01-01</date>
<desc><address><addrLine>Université de Lorraine - ENSIC, 1 rue de Grandville BP 20451, 54001 Nancy Cedex</addrLine>
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</address>
<ref type="url">http://lrgp.univ-lorraine.fr/</ref>
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<orgName>Université de Lorraine</orgName>
<orgName type="acronym">UL</orgName>
<date type="start">2012-01-01</date>
<desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lorraine.fr/</ref>
</desc>
</org>
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<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
<desc><address><country key="FR"></country>
</address>
<ref type="url">http://www.cnrs.fr/</ref>
</desc>
</org>
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</hal:affiliation>
<country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université de Lorraine</orgName>
</affiliation>
</author>
<author><name sortKey="Billaud, Francis" sort="Billaud, Francis" uniqKey="Billaud F" first="Francis" last="Billaud">Francis Billaud</name>
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<orgName>Laboratoire Réactions et Génie des Procédés</orgName>
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<desc><address><addrLine>Université de Lorraine - ENSIC, 1 rue de Grandville BP 20451, 54001 Nancy Cedex</addrLine>
<country key="FR"></country>
</address>
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<orgName>Université de Lorraine</orgName>
<orgName type="acronym">UL</orgName>
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<desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine>
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</address>
<ref type="url">http://www.univ-lorraine.fr/</ref>
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<country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
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</author>
</analytic>
<idno type="DOI">10.1016/j.pecs.2013.03.002</idno>
<series><title level="j">Progress in Energy and Combustion Science</title>
<idno type="ISSN">0360-1285</idno>
<imprint><date type="datePub">2013-04-12</date>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Chemical kinetics of oxidation</term>
<term>Combustion</term>
<term>Diesel engine</term>
<term>Experiments and modeling</term>
<term>Methyl and ethyl biodiesels</term>
<term>Performance and emission</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Moteur diesel</term>
</keywords>
</textClass>
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</teiHeader>
<front><div type="abstract" xml:lang="en">The motivation for and challenges in reducing the world's dependence on crude oil while simultaneously improving engine performance through better fuel efficiency and reduced exhaust emissions have led to the emergence of new fuels and combustion devices. Over the past ten years, considerable effort has gone into understanding combustion phenomena in relation to emerging fuel streams entering the market. The present article focuses specifically on one typical emerging transportation fuel dedicated to the diesel engine, biodiesel, with an emphasis on ethyl esters because of recently renewed interest in its use as a completely green biofuel. Based on a review of the research developments over the past ten years in advanced experimental and kinetic modeling related to the oxidation of biodiesel and related components, the main gaps in the field are highlighted to facilitate the convergence toward clean and efficient combustion in diesel engines. After briefly outlining the synergy between "feedstocks - conversion process - biodiesel combustion", the combustion kinetics of methyl and ethyl biodiesels are reviewed with emphasis on two complementary aspects: mechanism generation based on a detailed chemical kinetic approach that leads to predictive combustion models and experimental combustion devices that generate the data required during the development and validation of the predictive models.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement><li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName><li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><region name="Grand Est"><name sortKey="Coniglio, Lucie" sort="Coniglio, Lucie" uniqKey="Coniglio L" first="Lucie" last="Coniglio">Lucie Coniglio</name>
</region>
<name sortKey="Alexandre Glaude, Pierre" sort="Alexandre Glaude, Pierre" uniqKey="Alexandre Glaude P" first="Pierre" last="Alexandre Glaude">Pierre Alexandre Glaude</name>
<name sortKey="Billaud, Francis" sort="Billaud, Francis" uniqKey="Billaud F" first="Francis" last="Billaud">Francis Billaud</name>
<name sortKey="Hayet Bennadji, Hayet" sort="Hayet Bennadji, Hayet" uniqKey="Hayet Bennadji H" first="Hayet" last="Hayet Bennadji">Hayet Hayet Bennadji</name>
<name sortKey="Herbinet, Olivier" sort="Herbinet, Olivier" uniqKey="Herbinet O" first="Olivier" last="Herbinet">Olivier Herbinet</name>
</country>
</tree>
</affiliations>
</record>
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