000888848 001__ 888848
000888848 005__ 20240712112852.0
000888848 0247_ $$2doi$$a10.1002/aic.17010
000888848 0247_ $$2ISSN$$a0001-1541
000888848 0247_ $$2ISSN$$a1547-5905
000888848 0247_ $$2Handle$$a2128/26531
000888848 0247_ $$2WOS$$aWOS:000563951800001
000888848 037__ $$aFZJ-2020-05262
000888848 082__ $$a660
000888848 1001_ $$0P:(DE-HGF)0$$aSchäfer, Pascal$$b0
000888848 245__ $$aDo investments in flexibility enhance sustainability? A simulative study considering the German electricity sector
000888848 260__ $$aHoboken, NJ$$bWiley$$c2020
000888848 3367_ $$2DRIVER$$aarticle
000888848 3367_ $$2DataCite$$aOutput Types/Journal article
000888848 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1607966256_17108
000888848 3367_ $$2BibTeX$$aARTICLE
000888848 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000888848 3367_ $$00$$2EndNote$$aJournal Article
000888848 520__ $$aCurrent research concerning industrial demand side management primarily focuses on monetary aspects. Herein, we extend this perspective by assessing whether economically driven measures increasing the flexibility also result in reduced contributions to the residual load. For this purpose, we conduct a simulative study using historic and projected time series for the German electricity sector. First, Fourier analysis are performed to show that the main oscillation in the electricity price time series has a period length of 12 hr, whereas the renewable generation is primarily characterized by an oscillation with a period length of 24 hr. Second, a generic process model with capabilities for load shiftings is used to evaluate how the fluctuation patterns can be exploited via scheduling optimizations. Most importantly, our results demonstrate that prevalent price fluctuations prevent adequate monetary incentives for providing storage capacities for bridging up to 24 hr, which are desired for reducing the residual load.
000888848 536__ $$0G:(DE-HGF)POF3-899$$a899 - ohne Topic (POF3-899)$$cPOF3-899$$fPOF III$$x0
000888848 588__ $$aDataset connected to CrossRef
000888848 7001_ $$0P:(DE-HGF)0$$aDaun, Torben M.$$b1
000888848 7001_ $$0P:(DE-Juel1)172025$$aMitsos, Alexander$$b2$$eCorresponding author$$ufzj
000888848 773__ $$0PERI:(DE-600)2020333-0$$a10.1002/aic.17010$$gVol. 66, no. 11$$n11$$pe17010$$tAIChE journal$$v66$$x1547-5905$$y2020
000888848 8564_ $$uhttps://juser.fz-juelich.de/record/888848/files/Schaefer2020_AIChE_DSM-MO.pdf$$yOpenAccess
000888848 8564_ $$uhttps://juser.fz-juelich.de/record/888848/files/aic.17010.pdf$$yOpenAccess
000888848 909CO $$ooai:juser.fz-juelich.de:888848$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000888848 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b0$$kRWTH
000888848 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b1$$kRWTH
000888848 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172025$$aForschungszentrum Jülich$$b2$$kFZJ
000888848 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)172025$$aRWTH Aachen$$b2$$kRWTH
000888848 9131_ $$0G:(DE-HGF)POF3-899$$1G:(DE-HGF)POF3-890$$2G:(DE-HGF)POF3-800$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0
000888848 9141_ $$y2020
000888848 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-29
000888848 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-29
000888848 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2020-08-29
000888848 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000888848 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bAICHE J : 2018$$d2020-08-29
000888848 915__ $$0StatID:(DE-HGF)3001$$2StatID$$aDEAL Wiley$$d2020-08-29$$wger
000888848 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-08-29
000888848 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-08-29
000888848 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2020-08-29
000888848 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000888848 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-08-29
000888848 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-08-29$$wger
000888848 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-08-29
000888848 920__ $$lyes
000888848 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
000888848 9801_ $$aFullTexts
000888848 980__ $$ajournal
000888848 980__ $$aVDB
000888848 980__ $$aUNRESTRICTED
000888848 980__ $$aI:(DE-Juel1)IEK-10-20170217
000888848 981__ $$aI:(DE-Juel1)ICE-1-20170217