guest ::
| Home > Publications database > Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models > print |
| Home > Publications database > Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models > print |
| 001 | 903587 | ||
| 005 | 20240711101447.0 | ||
| 024 | 7 | _ | |a 10.1016/j.apenergy.2021.117825 |2 doi |
| 024 | 7 | _ | |a 0306-2619 |2 ISSN |
| 024 | 7 | _ | |a 1872-9118 |2 ISSN |
| 024 | 7 | _ | |a 2128/29459 |2 Handle |
| 024 | 7 | _ | |a WOS:000709745700005 |2 WOS |
| 037 | _ | _ | |a FZJ-2021-05241 |
| 082 | _ | _ | |a 620 |
| 100 | 1 | _ | |a Hoffmann, Maximilian |0 P:(DE-Juel1)176842 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2021 |b Elsevier Science |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1639554974_11312 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Energy system models are challenged by the need for high temporal and spatial resolutions in order to appropriately depict the increasing share of intermittent renewable energy sources, storage technologies, and the growing interconnectivity across energy sectors.This study compares different temporal aggregation strategies, which reduce the number of considered time steps, to maintain computational viability of these models. The work focuses on the representation of time series by a subset of single time steps (i.e., typical time steps), or by groups of consecutive time steps (i.e., typical periods), which are commonly applied in the literature using clustering. We test these techniques for two different energy system models and benchmark the optimization results based on aggregation to those of the fully resolved models. Further, centroids and medoids are used to represent the clustered datasets and it is investigated whether the optimal aggregation method can be determined based on clustering indicators only. |
| 536 | _ | _ | |a 1111 - Effective System Transformation Pathways (POF4-111) |0 G:(DE-HGF)POF4-1111 |c POF4-111 |f POF IV |x 0 |
| 536 | _ | _ | |a 1112 - Societally Feasible Transformation Pathways (POF4-111) |0 G:(DE-HGF)POF4-1112 |c POF4-111 |f POF IV |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Priesmann, Jan |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Nolting, Lars |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Praktiknjo, Aaron |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Kotzur, Leander |0 P:(DE-Juel1)168451 |b 4 |u fzj |
| 700 | 1 | _ | |a Stolten, Detlef |0 P:(DE-Juel1)129928 |b 5 |u fzj |
| 773 | _ | _ | |a 10.1016/j.apenergy.2021.117825 |g Vol. 304, p. 117825 - |0 PERI:(DE-600)2000772-3 |p 117825 - |t Applied energy |v 304 |y 2021 |x 0306-2619 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/903587/files/2103.16657.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:903587 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)176842 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 0 |6 P:(DE-Juel1)176842 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)168451 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)129928 |
| 910 | 1 | _ | |a RWTH Aachen |0 I:(DE-588b)36225-6 |k RWTH |b 5 |6 P:(DE-Juel1)129928 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Energiesystemdesign (ESD) |1 G:(DE-HGF)POF4-110 |0 G:(DE-HGF)POF4-111 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Energiesystemtransformation |9 G:(DE-HGF)POF4-1111 |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Energiesystemdesign (ESD) |1 G:(DE-HGF)POF4-110 |0 G:(DE-HGF)POF4-111 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Energiesystemtransformation |9 G:(DE-HGF)POF4-1112 |x 1 |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2021-01-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2021-01-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |d 2021-01-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2021-01-27 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b APPL ENERG : 2019 |d 2021-01-27 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-27 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2021-01-27 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b APPL ENERG : 2019 |d 2021-01-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2021-01-27 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2021-01-27 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IEK-3-20101013 |k IEK-3 |l Technoökonomische Systemanalyse |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IEK-3-20101013 |
| 981 | _ | _ | |a I:(DE-Juel1)ICE-2-20101013 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|