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dc.contributor.authorSahoo, Somadutta
dc.contributor.authorvan Stralen, Joost
dc.contributor.authorZuidema, Christian
dc.contributor.authorSijm, Jos
dc.contributor.authorYamu, Claudia
dc.contributor.authorFaaij, Andre PC
dc.coverage.spatialNetherlandsen_US
dc.date.accessioned2022-04-20T07:56:50Z
dc.date.available2022-04-20T07:56:50Z
dc.date.created2021-11-08T14:12:17Z
dc.date.issued2021-11-05
dc.identifier.issn0306-2619
dc.identifier.issn1872-9118
dc.identifier.urihttps://hdl.handle.net/11250/2991505
dc.description.abstractIntegrated energy system modeling tools predominantly focus on the (inter)national or local scales. The intermediate level is important from the perspective of regional policy making, particularly for identifying the potentials and constraints of various renewable resources. Additionally, distribution variations of economic and social sectors, such as housing, agriculture, industries, and energy infrastructure, foster regional energy demand differences. We used an existing optimization-based national integrated energy system model, Options Portfolio for Emission Reduction Assessment or OPERA, for our analysis. The modeling framework was subdivided into four major blocks: the economic structure, the built environment and industries, renewable energy potentials, and energy infrastructure, including district heating. Our scenario emphasized extensive use of intermittent renewables to achieve low greenhouse gas emissions. Our multi-node, regionalized model revealed the significant impacts of spatial parameters on the outputs of different technology options. Our case study was the northern region of the Netherlands. The region generated a significant amount of hydrogen (H2) from offshore wind, i.e. 620 Peta Joule (PJ), and transmitted a substantial volume of H2 (390 PJ) to the rest of the Netherlands. Additionally, the total renewable share in the primary energy mix of almost every northern region is ~90% or more compared to ~70% for the rest of the Netherlands. The results confirm the added value of regionalized modeling from the perspective of regional policy making as opposed to relying solely on national energy system models. Furthermore, we suggest that the regionalization of national models is an appropriate method to analyze regional energy systems.en_US
dc.description.sponsorshipThis research was supported provided by the ESTRAC Integrated Energy System Analysis Project financed by the New Energy Coalition (finance code: 656039).en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesApplied Energy;Volume 306, Part B, 15 January 2022, 118035
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectOptimizationen_US
dc.subjectBuilt environmentsen_US
dc.subjectIndustriesen_US
dc.subjectRenewable energy potentialsen_US
dc.subjectDistrict heatingen_US
dc.subjectRegionalizationen_US
dc.titleRegionalization of a national integrated energy system: A case study of the northern Netherlandsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Authorsen_US
dc.source.articlenumber118035en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1016/j.apenergy.2021.118035
dc.identifier.cristin1952366
dc.source.journalApplied Energyen_US
dc.source.volume306en_US
dc.source.issuePart Ben_US
dc.source.pagenumber40en_US
dc.relation.projectNew Energy Coalition: 656039en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal