000886008 001__ 886008
000886008 005__ 20240711101521.0
000886008 0247_ $$2doi$$a10.1016/j.rser.2020.110086
000886008 0247_ $$2ISSN$$a1364-0321
000886008 0247_ $$2ISSN$$a1879-0690
000886008 0247_ $$2Handle$$a2128/26027
000886008 0247_ $$2WOS$$aWOS:000581605600009
000886008 037__ $$aFZJ-2020-04229
000886008 082__ $$a620
000886008 1001_ $$0P:(DE-HGF)0$$aColbertaldo, P.$$b0$$eCorresponding author
000886008 245__ $$aClean mobility infrastructure and sector integration in long-term energy scenarios: The case of Italy
000886008 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2020
000886008 3367_ $$2DRIVER$$aarticle
000886008 3367_ $$2DataCite$$aOutput Types/Journal article
000886008 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1604331242_30287
000886008 3367_ $$2BibTeX$$aARTICLE
000886008 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000886008 3367_ $$00$$2EndNote$$aJournal Article
000886008 520__ $$aAs main contributors to greenhouse gas emissions, power and transportation are crucial sectors for energy system decarbonization. Their interaction is expected to increase significantly: plug-in electric vehicles add a new electric load, increasing grid demand and potentially requiring substantial grid upgrade; hydrogen production for fuel cell electric vehicles or for clean fuels synthesis could exploit the projected massive power overgeneration by intermittent and seasonally-dependent renewable sources via Power-to-Hydrogen.This work investigates the infrastructural needs involved with a broad diffusion of clean mobility, adopting a sector integration perspective at the national scale. The analysis combines a multi-node energy system balance simulation and a techno-economic assessment of the infrastructure to deliver energy vectors for mobility. The article explores the long-term case of Italy, considering a massive increase of renewable power generation capacity and investigating different mobility scenarios, where low-emission vehicles account for 50% of the stock. First, the model solves the energy balances, integrating the consumption related to mobility energy vectors and taking into account power grid constraints. Then, an optimal infrastructure is identified, composed of both a hydrogen delivery network and a widespread installation of charging points.Results show that the infrastructural requirements bring about investment costs in the range of 43–63 G€. Lower specific costs are associated with the exclusive presence of FCEVs, whereas the full reliance on BEVs leads to the most significant costs. Scenarios that combine FCEVs and BEVs lie in between, suggesting that the overall power + mobility system benefits from the presence of both drivetrain options.
000886008 536__ $$0G:(DE-HGF)POF3-134$$a134 - Electrolysis and Hydrogen (POF3-134)$$cPOF3-134$$fPOF III$$x0
000886008 588__ $$aDataset connected to CrossRef
000886008 7001_ $$0P:(DE-Juel1)172722$$aCerniauskas, S.$$b1$$ufzj
000886008 7001_ $$0P:(DE-Juel1)129852$$aGrube, T.$$b2$$ufzj
000886008 7001_ $$0P:(DE-Juel1)156460$$aRobinius, M.$$b3$$ufzj
000886008 7001_ $$0P:(DE-Juel1)129928$$aStolten, D.$$b4$$ufzj
000886008 7001_ $$0P:(DE-HGF)0$$aCampanari, S.$$b5
000886008 773__ $$0PERI:(DE-600)2019940-5$$a10.1016/j.rser.2020.110086$$gVol. 133, p. 110086 -$$p110086 -$$tRenewable & sustainable energy reviews$$v133$$x1364-0321$$y2020
000886008 8564_ $$uhttps://juser.fz-juelich.de/record/886008/files/1-s2.0-S1364032120303774-main.pdf$$yRestricted
000886008 8564_ $$uhttps://juser.fz-juelich.de/record/886008/files/Colbertaldo_etal_CleanMobilityInfrastructureItaly_RevisedManuscript.pdf$$yPublished on 2020-09-07. Available in OpenAccess from 2022-09-07.
000886008 8564_ $$uhttps://juser.fz-juelich.de/record/886008/files/Colbertaldo_etal_CleanMobilityInfrastructureItaly_RevisedManuscript.pdf?subformat=pdfa$$xpdfa$$yPublished on 2020-09-07. Available in OpenAccess from 2022-09-07.
000886008 8564_ $$uhttps://juser.fz-juelich.de/record/886008/files/1-s2.0-S1364032120303774-main.pdf?subformat=pdfa$$xpdfa$$yRestricted
000886008 909CO $$ooai:juser.fz-juelich.de:886008$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000886008 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172722$$aForschungszentrum Jülich$$b1$$kFZJ
000886008 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129852$$aForschungszentrum Jülich$$b2$$kFZJ
000886008 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156460$$aForschungszentrum Jülich$$b3$$kFZJ
000886008 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129928$$aForschungszentrum Jülich$$b4$$kFZJ
000886008 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)129928$$aRWTH Aachen$$b4$$kRWTH
000886008 9131_ $$0G:(DE-HGF)POF3-134$$1G:(DE-HGF)POF3-130$$2G:(DE-HGF)POF3-100$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bEnergie$$lSpeicher und vernetzte Infrastrukturen$$vElectrolysis and Hydrogen$$x0
000886008 9141_ $$y2020
000886008 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-01-17
000886008 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
000886008 915__ $$0StatID:(DE-HGF)0530$$2StatID$$aEmbargoed OpenAccess
000886008 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bRENEW SUST ENERG REV : 2018$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bRENEW SUST ENERG REV : 2018$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-01-17
000886008 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-01-17$$wger
000886008 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-01-17
000886008 920__ $$lyes
000886008 9201_ $$0I:(DE-Juel1)IEK-3-20101013$$kIEK-3$$lTechnoökonomische Systemanalyse$$x0
000886008 9801_ $$aFullTexts
000886008 980__ $$ajournal
000886008 980__ $$aVDB
000886008 980__ $$aUNRESTRICTED
000886008 980__ $$aI:(DE-Juel1)IEK-3-20101013
000886008 981__ $$aI:(DE-Juel1)ICE-2-20101013