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Reducing computing times in optimizing energy system models – challenges and opportunities

Cebulla, Felix and Cao, Karl-Kien and Wetzel, Manuel and Fiand, Frederik and Gils, Hans Christian (2017) Reducing computing times in optimizing energy system models – challenges and opportunities. OR2017, Berlin.

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Abstract

Energy systems based on renewable resources are characterized by a high number of decentralized components as well as by an increasing importance of storage, grid, and demand response. State-of-the-art energy system models reflect this growing complexity by combining a comprehensive representation of energy sectors and technologies with a high spatial and temporal resolution. However, such high level of detail is typically associated with long solving times of the models. The reduction of the latter is urgently required and the need for guidelines for a reasonable balance between degree of detail and solution time is pressing. The BEAM-ME project addresses these questions by improved computing power and efficiency in energy systems modelling. The German Aerospace Center is the principal investigator on the modelling side, while the project gathers various partners with complementary expertise in the fields of optimization algorithms, high performance computing, and application development. This talk provides an overview and evaluation of conceptual and technical strategies identified so far to reduce the model solution time of the REMix energy system model. Moreover, an insight in the implementation and assessment of selected speed-up strategies is provided. Finally, conclusions from the first project results are drawn and an outlook on the subsequent works is given.

Item URL in elib:https://elib.dlr.de/114399/
Document Type:Conference or Workshop Item (Speech)
Title:Reducing computing times in optimizing energy system models – challenges and opportunities
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Cebulla, Felixfelix.cebulla (at) dlr.deUNSPECIFIED
Cao, Karl-KienKarl-Kien.Cao (at) dlr.deUNSPECIFIED
Wetzel, Manuelmanuel.wetzel (at) dlr.deUNSPECIFIED
Fiand, Frederikffiand (at) gams.comUNSPECIFIED
Gils, Hans Christianhans-christian.gils (at) dlr.deUNSPECIFIED
Date:September 2017
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Energy systems modeling, optimization, renewable energy
Event Title:OR2017
Event Location:Berlin
Event Type:international Conference
Organizer:06.-08. Sept. 2017
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 > Systems Analysis and Technology Assessment
Deposited By: Cebulla, Felix
Deposited On:30 Nov 2017 16:25
Last Modified:31 Jul 2019 20:11

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