REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits

dc.bibliographicCitation.firstPage6571
dc.bibliographicCitation.issue10
dc.bibliographicCitation.lastPage6603
dc.bibliographicCitation.volume14
dc.contributor.authorBaumstark, Lavinia
dc.contributor.authorBauer, Nico
dc.contributor.authorBenke, Falk
dc.contributor.authorBertram, Christoph
dc.contributor.authorBi, Stephen
dc.contributor.authorGong, Chen Chris
dc.contributor.authorDietrich, Jan Philipp
dc.contributor.authorDirnaichner, Alois
dc.contributor.authorGiannousakis, Anastasis
dc.contributor.authorHilaire, Jerome
dc.contributor.authorKlein, David
dc.contributor.authorKoch, Johannes
dc.contributor.authorLeimbach, Marian
dc.contributor.authorLevesque, Antoine
dc.contributor.authorMadeddu, Silvia
dc.contributor.authorMalik, Aman
dc.contributor.authorMerfort, Anne
dc.contributor.authorMerfort, Leon
dc.contributor.authorOdenweller, Adrian
dc.contributor.authorPehl, Michaja
dc.contributor.authorPietzcker, Robert C.
dc.contributor.authorPiontek, Franziska
dc.contributor.authorRauner, Sebastian
dc.contributor.authorRodrigues, Renato
dc.contributor.authorRottoli, Marianna
dc.contributor.authorSchreyer, Felix
dc.contributor.authorSchultes, Anselm
dc.contributor.authorSoergel, Bjoern
dc.contributor.authorSoergel, Dominika
dc.contributor.authorStrefler, Jessica
dc.contributor.authorUeckerdt, Falko
dc.contributor.authorKriegler, Elmar
dc.contributor.authorLuderer, Gunnar
dc.date.accessioned2022-03-31T11:50:20Z
dc.date.available2022-03-31T11:50:20Z
dc.date.issued2021
dc.description.abstractThis paper presents the new and now open-source version 2.1 of the REgional Model of INvestments and Development (REMIND). REMIND, as an integrated assessment model (IAM), provides an integrated view of the global energy–economy–emissions system and explores self-consistent transformation pathways. It describes a broad range of possible futures and their relation to technical and socio-economic developments as well as policy choices. REMIND is a multiregional model incorporating the economy and a detailed representation of the energy sector implemented in the General Algebraic Modeling System (GAMS). It uses non-linear optimization to derive welfare-optimal regional transformation pathways of the energy-economic system subject to climate and sustainability constraints for the time horizon from 2005 to 2100. The resulting solution corresponds to the decentralized market outcome under the assumptions of perfect foresight of agents and internalization of external effects. REMIND enables the analyses of technology options and policy approaches for climate change mitigation with particular strength in representing the scale-up of new technologies, including renewables and their integration in power markets. The REMIND code is organized into modules that gather code relevant for specific topics. Interaction between different modules is made explicit via clearly defined sets of input and output variables. Each module can be represented by different realizations, enabling flexible configuration and extension. The spatial resolution of REMIND is flexible and depends on the resolution of the input data. Thus, the framework can be used for a variety of applications in a customized form, balancing requirements for detail and overall runtime and complexity.eng
dc.description.sponsorshipLeibniz_Fonds
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/8521
dc.identifier.urihttps://doi.org/10.34657/7559
dc.language.isoeng
dc.publisherKatlenburg-Lindau : Copernicus
dc.relation.doihttps://doi.org/10.5194/gmd-14-6571-2021
dc.relation.essn1991-9603
dc.relation.ispartofseriesGeoscientific Model Development 14 (2021), Nr. 10eng
dc.relation.issn1991-959X
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc910eng
dc.titleREMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limitseng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleGeoscientific Model Developmenteng
tib.accessRightsopenAccess
wgl.contributorPIK
wgl.subjectGeowissenschaften
wgl.typeZeitschriftenartikel
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