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Speeding up Energy System Models - a Best Practice Guide

Scholz, Yvonne and Fuchs, Benjamin and Borggrefe, Frieder and Cao, Karl-Kien and Wetzel, Manuel and von Krbek, Kai and Cebulla, Felix and Gils, Hans Christian and Fiand, Frederik and Bussieck, Michael and Koch, Thorsten and Rehfeldt, Daniel and Gleixner, Ambros and Khabi, Dmitry and Breuer, Thomas and Rohe, Daniel and Hobbie, Hannes and Schönheit, David and Yilmaz, Hasan Ümitcan and Panos, Evangelos and Jeddi, Samir and Buchholz, Stefanie (2020) Speeding up Energy System Models - a Best Practice Guide. [Other]

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Official URL: https://gitlab.com/beam-me/bpg

Abstract

Background Energy system models (ESM) are widely used in research and industry to analyze todays and future energy systems and potential pathways for the European energy transition. Current studies address future policy design, analysis of technology pathways and of future energy systems. To address these questions and support the transformation of today’s energy systems, ESM have to increase in complexity to provide valuable quantitative insights for policy makers and industry. Especially when dealing with uncertainty and in integrating large shares of renewable energies, ESM require a detailed implementation of the underlying electricity system. The increased complexity of the models makes the application of ESM more and more difficult, as the models are limited by the available computational power of today’s decentralized workstations. Severe simplifications of the models are common strategies to solve problems in a reasonable amount of time – naturally significantly influencing the validity of results and reliability of the models in general. Solutions for Energy-System Modelling Within BEAM-ME a consortium of researchers from different research fields (system analysis, mathematics, operations research and informatics) develop new strategies to increase the computational performance of energy system models and to transform energy system models for usage on high performance computing clusters. Within the project, an ESM will be applied on two of Germany’s fastest supercomputers. To further demonstrate the general application of named techniques on ESM, a model experiment is implemented as part of the project. Within this experiment up to six energy system models will jointly develop, implement and benchmark speed-up methods. Finally, continually collecting all experiences from the project and the experiment, identified efficient strategies will be documented and general standards for increasing computational performance and for applying ESM to high performance computing will be documented in a best-practice guide.

Item URL in elib:https://elib.dlr.de/135507/
Document Type:Other
Title:Speeding up Energy System Models - a Best Practice Guide
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Scholz, YvonneYvonne.Scholz (at) dlr.dehttps://orcid.org/0000-0002-1633-3825
Fuchs, Benjaminbenjamin.fuchs (at) dlr.deUNSPECIFIED
Borggrefe, FriederFrieder.Borggrefe (at) dlr.deUNSPECIFIED
Cao, Karl-KienKarl-Kien.Cao (at) dlr.dehttps://orcid.org/0000-0002-9720-0337
Wetzel, ManuelManuel.Wetzel (at) dlr.dehttps://orcid.org/0000-0001-7838-2414
von Krbek, KaiKai.Krbek (at) dlr.deUNSPECIFIED
Cebulla, FelixFelix.Cebulla (at) dlr.dehttps://orcid.org/0000-0001-8819-3780
Gils, Hans ChristianHans.Gils (at) dlr.dehttps://orcid.org/0000-0001-6745-6609
Fiand, Frederikffiand (at) gams.comUNSPECIFIED
Bussieck, Michaelmbussieck (at) gams.comUNSPECIFIED
Koch, Thorstenkoch (at) zib.dehttps://orcid.org/0000-0002-1967-0077
Rehfeldt, Danielrehfeldt (at) zib.dehttps://orcid.org/0000-0002-2877-074X
Gleixner, Ambrosgleixner (at) zib.dehttps://orcid.org/0000-0003-0391-5903
Khabi, Dmitrykhabi (at) hlrs.deUNSPECIFIED
Breuer, Thomast.breuer (at) fz-juelich.deUNSPECIFIED
Rohe, Danield.rohe (at) fz-juelich.deUNSPECIFIED
Hobbie, Hanneshannes.hobbie (at) tu-dresden.dehttps://orcid.org/0000-0002-9416-6786
Schönheit, Daviddavid_josua.schoenheit (at) tu-dresden.dehttps://orcid.org/0000-0002-5484-0967
Yilmaz, Hasan Ümitcanhasan.yilmaz (at) kit.eduUNSPECIFIED
Panos, Evangelosevangelos.panos (at) psi.chUNSPECIFIED
Jeddi, SamirSamir.Jeddi (at) ewi.uni-koeln.dehttps://orcid.org/0000-0003-0819-9723
Buchholz, Stefaniestebu (at) dtu.dkhttps://orcid.org/0000-0002-3546-8178
Date:June 2020
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:175
Status:Published
Keywords:Energy System Modeling, High Performance Computing, PIPS, Parallelization
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 (old)
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Cao, Karl-Kien
Deposited On:17 Jul 2020 14:06
Last Modified:17 Jul 2020 14:06

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