001     875142
005     20240711101458.0
024 7 _ |a 10.1016/j.ijhydene.2020.02.121
|2 doi
024 7 _ |a 0360-3199
|2 ISSN
024 7 _ |a 1879-3487
|2 ISSN
024 7 _ |a 2128/26108
|2 Handle
024 7 _ |a altmetric:83232917
|2 altmetric
024 7 _ |a WOS:000524161700017
|2 WOS
037 _ _ |a FZJ-2020-01834
082 _ _ |a 620
100 1 _ |a Cerniauskas, Simonas
|0 P:(DE-Juel1)172722
|b 0
|e Corresponding author
245 _ _ |a Options of natural gas pipeline reassignment for hydrogen: Cost assessment for a Germany case study
260 _ _ |a New York, NY [u.a.]
|c 2020
|b Elsevier
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 1605014536_24364
|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 The uncertain role of the natural gas infrastructure in the decarbonized energy system and the limitations of hydrogen blending raise the question of whether natural gas pipelines can be economically utilized for the transport of hydrogen. To investigate this question, this study derives cost functions for the selected pipeline reassignment methods. By applying geospatial hydrogen supply chain modeling, the technical and economic potential of natural gas pipeline reassignment during a hydrogen market introduction is assessed.The results of this study show a technically viable potential of more than 80% of the analyzed representative German pipeline network. By comparing the derived pipeline cost functions, it could be derived that pipeline reassignment can reduce the hydrogen transmission costs by more than 60%. Finally, a countrywide analysis of pipeline availability constraints for the year 2030 shows a cost reduction of the transmission system by 30% in comparison to a newly built hydrogen pipeline system.
536 _ _ |a 134 - Electrolysis and Hydrogen (POF3-134)
|0 G:(DE-HGF)POF3-134
|c POF3-134
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Jose Chavez Junco, Antonio
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Grube, Thomas
|0 P:(DE-Juel1)129852
|b 2
700 1 _ |a Robinius, Martin
|0 P:(DE-Juel1)156460
|b 3
700 1 _ |a Stolten, Detlef
|0 P:(DE-Juel1)129928
|b 4
773 _ _ |a 10.1016/j.ijhydene.2020.02.121
|g Vol. 45, no. 21, p. 12095 - 12107
|0 PERI:(DE-600)1484487-4
|n 21
|p 12095 - 12107
|t International journal of hydrogen energy
|v 45
|y 2020
|x 0360-3199
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/875142/files/Cerniauskas-2020-Options%20of%20Natural%20Gas%20Pipeline%20Reassignment%20for%20Hydrogen%20Cost%20Assessment%20for%20a%20Germany%20Case%20Study.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/875142/files/Cerniauskas-2020-Options%20of%20Natural%20Gas%20Pipeline%20Reassignment%20for%20Hydrogen%20Cost%20Assessment%20for%20a%20Germany%20Case%20Study.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:875142
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)172722
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)129852
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)156460
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)129928
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 4
|6 P:(DE-Juel1)129928
913 1 _ |a DE-HGF
|l Speicher und vernetzte Infrastrukturen
|1 G:(DE-HGF)POF3-130
|0 G:(DE-HGF)POF3-134
|2 G:(DE-HGF)POF3-100
|v Electrolysis and Hydrogen
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Energie
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b INT J HYDROGEN ENERG : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-3-20101013
|k IEK-3
|l Technoökonomische Systemanalyse
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IEK-3-20101013
981 _ _ |a I:(DE-Juel1)ICE-2-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21