000877456 001__ 877456
000877456 005__ 20240709082114.0
000877456 0247_ $$2doi$$a10.1016/j.apenergy.2019.04.041
000877456 0247_ $$2ISSN$$a0306-2619
000877456 0247_ $$2ISSN$$a1872-9118
000877456 0247_ $$2WOS$$aWOS:000472692200018
000877456 037__ $$aFZJ-2020-02209
000877456 082__ $$a620
000877456 1001_ $$0P:(DE-HGF)0$$aLinzenich, Anika$$b0$$eCorresponding author
000877456 245__ $$aWhat fuels the adoption of alternative fuels? Examining preferences of German car drivers for fuel innovations
000877456 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2019
000877456 3367_ $$2DRIVER$$aarticle
000877456 3367_ $$2DataCite$$aOutput Types/Journal article
000877456 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1591707828_25233
000877456 3367_ $$2BibTeX$$aARTICLE
000877456 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000877456 3367_ $$00$$2EndNote$$aJournal Article
000877456 520__ $$aIn the search for sustainable transport solutions, fuel production from renewable resources has received significant attention. Some proposed synthetic fuels have favorable combustion properties compared to existing fuels, e.g., significant reductions in pollutant formation. However, penetration of such fuels requires a favorable social acceptance, as demonstrated by the consumer boycott of the ethanol-blend fuel with 10% ethanol and 90% gasoline (E10) in Germany. Therefore, the consumer perspective and their preferences regarding alternative fuels should be considered in the fuel design. We use conjoint methodology to analyze the preferences of German car drivers for alternative fuels. This aims at understanding which criteria determine consumer preferences and usage decisions. Among the five considered fuel attributes (fuel availability, driving range, pollutant emissions, fuel costs, and usage requirements to enable the use of alternative fuels), fuel costs had the highest decision impact for alternative fuel preferences, followed by fuel availability and usage requirements. Pollutant emissions had the lowest impact on alternative fuel choices. A market simulation of conventional diesel and alternative fuels (dimethyl ether (DME) and a blend of diesel with oxymethylene dimethyl ethers (OME)) revealed that currently a large majority of car drivers would prefer conventional fossil fuel options, indicating a currently low consumer demand for alternative fuels. Thus, the findings demonstrate the importance of integrating social acceptance as an objective function in the design of novel fuels and production processes.
000877456 536__ $$0G:(DE-HGF)POF3-899$$a899 - ohne Topic (POF3-899)$$cPOF3-899$$fPOF III$$x0
000877456 588__ $$aDataset connected to CrossRef
000877456 7001_ $$0P:(DE-HGF)0$$aArning, Katrin$$b1
000877456 7001_ $$0P:(DE-HGF)0$$aBongartz, Dominik$$b2
000877456 7001_ $$0P:(DE-Juel1)172025$$aMitsos, Alexander$$b3$$ufzj
000877456 7001_ $$0P:(DE-HGF)0$$aZiefle, Martina$$b4
000877456 773__ $$0PERI:(DE-600)2000772-3$$a10.1016/j.apenergy.2019.04.041$$gVol. 249, p. 222 - 236$$p222 - 236$$tApplied energy$$v249$$x0306-2619$$y2019
000877456 909CO $$ooai:juser.fz-juelich.de:877456$$pVDB
000877456 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b0$$kRWTH
000877456 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b1$$kRWTH
000877456 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b2$$kRWTH
000877456 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172025$$aForschungszentrum Jülich$$b3$$kFZJ
000877456 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)172025$$aRWTH Aachen$$b3$$kRWTH
000877456 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b4$$kRWTH
000877456 9131_ $$0G:(DE-HGF)POF3-899$$1G:(DE-HGF)POF3-890$$2G:(DE-HGF)POF3-800$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0
000877456 9141_ $$y2020
000877456 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bAPPL ENERG : 2018$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-01-12
000877456 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bAPPL ENERG : 2018$$d2020-01-12
000877456 920__ $$lyes
000877456 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
000877456 980__ $$ajournal
000877456 980__ $$aVDB
000877456 980__ $$aI:(DE-Juel1)IEK-10-20170217
000877456 980__ $$aUNRESTRICTED
000877456 981__ $$aI:(DE-Juel1)ICE-1-20170217