001032430 001__ 1032430
001032430 005__ 20250224202207.0
001032430 0247_ $$2doi$$a10.1016/j.adapen.2024.100192
001032430 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-06237
001032430 0247_ $$2WOS$$aWOS:001352873600001
001032430 037__ $$aFZJ-2024-06237
001032430 082__ $$a333.7
001032430 1001_ $$0P:(DE-Juel1)192171$$aBehrens, Johannes$$b0$$eCorresponding author
001032430 245__ $$aReviewing the complexity of endogenous technological learning for energy system modeling
001032430 260__ $$a[Amsterdam]$$bElsevier ScienceDirect$$c2024
001032430 3367_ $$2DRIVER$$aarticle
001032430 3367_ $$2DataCite$$aOutput Types/Journal article
001032430 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1731651683_15002
001032430 3367_ $$2BibTeX$$aARTICLE
001032430 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001032430 3367_ $$00$$2EndNote$$aJournal Article
001032430 520__ $$aEnergy system components like renewable energy technologies or electrolyzers are subject to decreasing investment costs driven by technological progress. Various methods have been developed in the literature to capture model-endogenous technological learning. This review demonstrates the non-linear relationship between investment costs and production volume, resulting in non-convex optimization problems and discuss concepts to account for technological progress. While iterative solution methods tend to find future energy system designs that rely on suboptimal technology mixes, exact solutions leading to global optimality are computationally demanding. Most studies omit important system aspects such as sector integration, or a detailed spatial, temporal, and technological resolution to maintain model solvability, which likewise distorts the impact of technological learning. This can be improved by the application of methods such as temporal or spatial aggregation, decomposition methods, or the clustering of technologies. This review reveals the potential of those methods and points out important considerations for integrating endogenous technological learning. We propose a more integrated approach to handle computational complexity when integrating technological learning, that aims to preserve the model's feasibility. Furthermore, we identify significant gaps in current modeling practices and suggest future research directions to enhance the accuracy and utility of energy system models.
001032430 536__ $$0G:(DE-HGF)POF4-1111$$a1111 - Effective System Transformation Pathways (POF4-111)$$cPOF4-111$$fPOF IV$$x0
001032430 536__ $$0G:(DE-HGF)POF4-1112$$a1112 - Societally Feasible Transformation Pathways (POF4-111)$$cPOF4-111$$fPOF IV$$x1
001032430 536__ $$0G:(DE-HGF)POF4-110$$a110 - Energiesystemdesign (ESD) (POF4-100)$$cPOF4-100$$fPOF IV$$x2
001032430 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001032430 7001_ $$0P:(DE-HGF)0$$aZeyen, Elisabeth$$b1
001032430 7001_ $$0P:(DE-Juel1)176842$$aHoffmann, Maximilian$$b2$$ufzj
001032430 7001_ $$0P:(DE-Juel1)129928$$aStolten, Detlef$$b3$$ufzj
001032430 7001_ $$0P:(DE-Juel1)190787$$aWeinand, Jann M.$$b4$$ufzj
001032430 773__ $$0PERI:(DE-600)3060775-9$$a10.1016/j.adapen.2024.100192$$gVol. 16, p. 100192 -$$p100192 -$$tAdvances in applied energy$$v16$$x2666-7924$$y2024
001032430 8564_ $$uhttps://juser.fz-juelich.de/record/1032430/files/1-s2.0-S2666792424000301-main.pdf$$yOpenAccess
001032430 8767_ $$8E-2024-01465-b$$92025-02-19$$a1200211749$$d2025-02-24$$eAPC$$jZahlung erfolgt
001032430 909CO $$ooai:juser.fz-juelich.de:1032430$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire$$popenCost$$pdnbdelivery
001032430 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)192171$$aForschungszentrum Jülich$$b0$$kFZJ
001032430 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)192171$$aRWTH Aachen$$b0$$kRWTH
001032430 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176842$$aForschungszentrum Jülich$$b2$$kFZJ
001032430 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129928$$aForschungszentrum Jülich$$b3$$kFZJ
001032430 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)129928$$aRWTH Aachen$$b3$$kRWTH
001032430 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190787$$aForschungszentrum Jülich$$b4$$kFZJ
001032430 9131_ $$0G:(DE-HGF)POF4-111$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1111$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vEnergiesystemtransformation$$x0
001032430 9131_ $$0G:(DE-HGF)POF4-111$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1112$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vEnergiesystemtransformation$$x1
001032430 9131_ $$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$x2
001032430 9141_ $$y2024
001032430 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001032430 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-04-15T07:58:37Z
001032430 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-04-15T07:58:37Z
001032430 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001032430 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Double anonymous peer review$$d2021-04-15T07:58:37Z
001032430 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2023-09-03
001032430 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2023-09-03
001032430 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-16
001032430 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-16
001032430 915__ $$0StatID:(DE-HGF)0112$$2StatID$$aWoS$$bEmerging Sources Citation Index$$d2024-12-16
001032430 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-16
001032430 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
001032430 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
001032430 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
001032430 915pc $$0PC:(DE-HGF)0125$$2APC$$aDEAL: Elsevier 09/01/2023
001032430 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
001032430 920__ $$lyes
001032430 9201_ $$0I:(DE-Juel1)ICE-2-20101013$$kICE-2$$lJülicher Systemanalyse$$x0
001032430 9801_ $$aFullTexts
001032430 980__ $$ajournal
001032430 980__ $$aVDB
001032430 980__ $$aUNRESTRICTED
001032430 980__ $$aI:(DE-Juel1)ICE-2-20101013
001032430 980__ $$aAPC