001     877456
005     20240709082114.0
024 7 _ |a 10.1016/j.apenergy.2019.04.041
|2 doi
024 7 _ |a 0306-2619
|2 ISSN
024 7 _ |a 1872-9118
|2 ISSN
024 7 _ |a WOS:000472692200018
|2 WOS
037 _ _ |a FZJ-2020-02209
082 _ _ |a 620
100 1 _ |a Linzenich, Anika
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a What fuels the adoption of alternative fuels? Examining preferences of German car drivers for fuel innovations
260 _ _ |a Amsterdam [u.a.]
|c 2019
|b Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1591707828_25233
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a In 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.
536 _ _ |a 899 - ohne Topic (POF3-899)
|0 G:(DE-HGF)POF3-899
|c POF3-899
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Arning, Katrin
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Bongartz, Dominik
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Mitsos, Alexander
|0 P:(DE-Juel1)172025
|b 3
|u fzj
700 1 _ |a Ziefle, Martina
|0 P:(DE-HGF)0
|b 4
773 _ _ |a 10.1016/j.apenergy.2019.04.041
|g Vol. 249, p. 222 - 236
|0 PERI:(DE-600)2000772-3
|p 222 - 236
|t Applied energy
|v 249
|y 2019
|x 0306-2619
909 C O |o oai:juser.fz-juelich.de:877456
|p VDB
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 0
|6 P:(DE-HGF)0
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 1
|6 P:(DE-HGF)0
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 2
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)172025
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 3
|6 P:(DE-Juel1)172025
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 4
|6 P:(DE-HGF)0
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF3-890
|0 G:(DE-HGF)POF3-899
|2 G:(DE-HGF)POF3-800
|v ohne Topic
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-12
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-01-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-12
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2020-01-12
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b APPL ENERG : 2018
|d 2020-01-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-01-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-01-12
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-01-12
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b APPL ENERG : 2018
|d 2020-01-12
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-10-20170217
|k IEK-10
|l Modellierung von Energiesystemen
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-10-20170217
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)ICE-1-20170217


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21