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Next generation energy modelling - benefits of applying parallel optimization and high performance computing

Borggrefe, Frieder (2017) Next generation energy modelling - benefits of applying parallel optimization and high performance computing. Modelling Smart Grids 2017 - Modelling, Optimization and Detection, 26.-28. Okt. 2017, Prague, Czech Rebulic.

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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/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Next generation energy modelling - benefits of applying parallel optimization and high performance computing
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Borggrefe, FriederFrieder.Borggrefe (at) dlr.dehttps://orcid.org/0000-0001-5733-128XNICHT SPEZIFIZIERT
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
Veranstaltungsdatum:26.-28. Okt. 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:31 Jul 2019 20:15

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