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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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Abstract

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.

Item URL in elib:https://elib.dlr.de/118193/
Document Type:Conference or Workshop Item (Speech)
Title:Next generation energy modelling - benefits of applying parallel optimization and high performance computing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Borggrefe, FriederFrieder.Borggrefe (at) dlr.dehttps://orcid.org/0000-0001-5733-128X
Date:26 October 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Project BEAM-ME; computational Performance; energy System models; high performance computing
Event Title:Modelling Smart Grids 2017 - Modelling, Optimization and Detection
Event Location:Prague, Czech Rebulic
Event Type:international Conference
Event Dates:26.-28. Okt. 2017
Organizer:Czech Academy of Science, Charles University Prague, Czech Technical University Prague
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Systems Analysis and Technology Assessment
Deposited By: Borggrefe, Frieder
Deposited On:15 Jan 2018 17:35
Last Modified:31 Jul 2019 20:15

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