Borggrefe, Frieder (2017) Next generation energy modelling - benefits of applying parallel optimization and high performance computing. Modelling Smart Grids 2017 - Modelling, Optimization and Detection, 2017-10-26 - 2017-10-28, Prague, Czech Rebulic.
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PDF (Workshop presentation)
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Kurzfassung
Quantitative energy system modelling based on primarily linear mathematical optimization provide a basis to answer political, technical, and economic questions regarding the future development of electricity systems. In order to capture the complexity of future decentralized electricity system, models are required to become increasingly complex. This presentation outlines how high performance computing (HPC) can be applied to energy system modelling and describes challenges and benefit that arise when complex energy models based on linear and non-linear algorithms are applied to parallel computing. The presentation draws on results from the project BEAM-ME funded by the German Federal Ministry for Economic Affairs and Energy. The research project aims at improving computational performance of energy system models. Within this project the consortium of researchers from different research fields (system analysis, mathematics, operations research and informatics) develop new strategies to increase computational performance of energy system models and to apply energy system models to high performance computing. This presentation presents intermediate results from a benchmark analysis when applying the energy system model REMix to HPC. The presentation concludes with a discussion on future challenges for energy system modelling and how HPC can enable energy modelers to improve scenarios, market design and policy advice.
elib-URL des Eintrags: | https://elib.dlr.de/118193/ | ||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||
Titel: | Next generation energy modelling - benefits of applying parallel optimization and high performance computing | ||||||||
Autoren: |
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Datum: | 26 Oktober 2017 | ||||||||
Referierte Publikation: | Nein | ||||||||
Open Access: | Ja | ||||||||
Gold Open Access: | Nein | ||||||||
In SCOPUS: | Nein | ||||||||
In ISI Web of Science: | Nein | ||||||||
Status: | veröffentlicht | ||||||||
Stichwörter: | Project BEAM-ME; computational Performance; energy System models; high performance computing | ||||||||
Veranstaltungstitel: | Modelling Smart Grids 2017 - Modelling, Optimization and Detection | ||||||||
Veranstaltungsort: | Prague, Czech Rebulic | ||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||
Veranstaltungsbeginn: | 26 Oktober 2017 | ||||||||
Veranstaltungsende: | 28 Oktober 2017 | ||||||||
Veranstalter : | Czech Academy of Science, Charles University Prague, Czech Technical University Prague | ||||||||
HGF - Forschungsbereich: | Energie | ||||||||
HGF - Programm: | TIG Technologie, Innovation und Gesellschaft | ||||||||
HGF - Programmthema: | Erneuerbare Energie- und Materialressourcen für eine nachhaltige Zukunft | ||||||||
DLR - Schwerpunkt: | Energie | ||||||||
DLR - Forschungsgebiet: | E SY - Energiesystemanalyse | ||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Systemanalyse und Technikbewertung (alt) | ||||||||
Standort: | Stuttgart | ||||||||
Institute & Einrichtungen: | Institut für Technische Thermodynamik > Systemanalyse und Technikbewertung | ||||||||
Hinterlegt von: | Borggrefe, Frieder | ||||||||
Hinterlegt am: | 15 Jan 2018 17:35 | ||||||||
Letzte Änderung: | 24 Apr 2024 20:22 |
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