Hauptseite > Publikationsdatenbank > A High-Resolution Downscaling Approach for Solar Irradiance Using Statistical Parameter Matching > print

001     1053971
005     20260203082441.0
037 _ _ |a FZJ-2026-01647
100 1 _ |a Omoyele, Olalekan
|0 P:(DE-Juel1)194673
|b 0
|e Corresponding author
|u fzj
111 2 _ |a 'Association of European Operational Research Societies (EURO)
|c Leeds
|d 2025-06-22 - 2025-06-25
|w United Kingdom
245 _ _ |a A High-Resolution Downscaling Approach for Solar Irradiance Using Statistical Parameter Matching
260 _ _ |c 2025
336 7 _ |a Abstract
|b abstract
|m abstract
|0 PUB:(DE-HGF)1
|s 1770103459_30799
|2 PUB:(DE-HGF)
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a Output Types/Conference Abstract
|2 DataCite
336 7 _ |a OTHER
|2 ORCID
520 _ _ |a The limited intra-hour variability of globally available hourly renewable energy system data leads to inaccuracies in the modeling of renewable energy systems. This work, therefore, presents a methodology to increase the temporal resolution of the global horizontal irradiance from one hour to one minute using non-dimensional irradiance and parameters matching for arbitrary locations. The methodology is validated using statistical methods and energy system modeling in self-sufficient buildings. The hourly annual normalized root mean square error and Kolmogorov-Smirnov Integral range from 6 - 12% and 0.1 - 0.84, respectively, for different locations consisting of varying weather conditions. The energy system optimization results of the synthetic data demonstrate superiority in terms of cost and feasibility relative to the average hourly resolution data. The use of synthetic minute resolution data has been shown to significantly improve the design accuracy of dynamic components such as inverters (where underestimation in capacity is up to 58%) and storage systems. The developed methodology facilitates more reliable energy system modeling.
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
700 1 _ |a Hoffmann, Maximilian
|0 P:(DE-Juel1)176842
|b 1
|u fzj
700 1 _ |a Weinand, Jann
|0 P:(DE-Juel1)190787
|b 2
|u fzj
700 1 _ |a Larraneta, M.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Stolten, Detlef
|0 P:(DE-Juel1)129928
|b 4
|u fzj
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)194673
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)176842
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)190787
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)129928
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 4
|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
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)ICE-2-20101013
|k ICE-2
|l Jülicher Systemanalyse
|x 0
980 _ _ |a abstract
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)ICE-2-20101013
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21