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Methods to reduce computation times of linear optimising Energy System Models

von Krbek, Kai and Cao, Karl-Kien and Wetzel, Manuel (2020) Methods to reduce computation times of linear optimising Energy System Models. Developing Aggregation and Reduction Methods for Implementing Disaggregated Renewable Infeed Profiles in Energy System Models, 2020-04-03, virtuell.

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Abstract

This talk concentrates on the scaling of approximative solution due to aggregation of linear energy system models. The scaling is performed both on the temporal scale as well as the regional scale.

Item URL in elib:https://elib.dlr.de/135347/
Document Type:Conference or Workshop Item (Speech)
Title:Methods to reduce computation times of linear optimising Energy System Models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
von Krbek, KaiKai.Krbek (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
Date:2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:linear optimising system models, reduction of computation times
Event Title:Developing Aggregation and Reduction Methods for Implementing Disaggregated Renewable Infeed Profiles in Energy System Models
Event Location:virtuell
Event Type:Workshop
Event Dates:2020-04-03
Organizer:Universität Duisburg-Essen/Fraunhofer Institute for Solar Energy Systems
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: von Krbek, Kai
Deposited On:08 Jul 2020 13:23
Last Modified:08 Jul 2020 13:23

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