<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>7390</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2019-11-07</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Development of a Modular Framework for Future Energy System Analysis</title>
    <abstract language="eng">This paper gives an overview of the modeling&#13;
framework that is being developed within the Horizon2020 project&#13;
plan4res. In the context of energy transition, integration of high&#13;
shares of renewable energies will play a vital role for achieving the&#13;
proposed climate targets. This brings new challenges to modeling&#13;
tools, including data construction, implementation and solution&#13;
techniques. In order to address these challenges, plan4res aims to&#13;
create a well-structured and highly modular framework that will&#13;
provide insights into the needs of future energy systems. An&#13;
overview of the central modeling aspects is given in this paper.&#13;
Finally, three case studies are presented that show the adequacy&#13;
and relevance of the proposed optimization framework.</abstract>
    <parentTitle language="eng">54th International Universities Power Engineering Conference (UPEC)</parentTitle>
    <identifier type="doi">10.1109/UPEC.2019.8893472</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <submitter>Inci Yueksel-Erguen</submitter>
    <author>Daniel Beulertz</author>
    <author>Sandrine Charousset-Brignol</author>
    <author>Dieter Most</author>
    <author>Spyros Giannelos</author>
    <author>Inci Yueksel-Erguen</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="institutes" number="enernet">Energy Network Optimization</collection>
    <collection role="persons" number="yueksel-erguen">Yüksel-Ergün, Inci</collection>
    <collection role="projects" number="plan4res">Plan4res</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>7807</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2020-03-23</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Novel Modular Optimization Framework for Modelling Investment and Operation of Energy Systems at European Level</title>
    <abstract language="eng">Project plan4res (www.plan4res.eu) involves the development of a modular framework for the modeling and analysis of energy system strategies at the European level. It will include models describing the investment and operation decisions for a wide variety of technologies related to electricity and non-electricity energy sectors across generation, consumption, transmission and distribution. The modularity of the framework allows for detailed modelling of major areas of energy systems that can help stakeholders from different backgrounds to focus on specific topics related to the energy landscape in Europe and to receive relevant outputs and insights tailored to their needs. The current paper presents a qualitative description of key concepts and methods of the novel modular optimization framework and provides insights into the corresponding energy landscape.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-78079</identifier>
    <author>Dieter Most</author>
    <submitter>Inci Yueksel-Erguen</submitter>
    <author>Spyros Giannelos</author>
    <author>Inci Yueksel-Erguen</author>
    <author>Daniel Beulertz</author>
    <author>Utz-Uwe Haus</author>
    <author>Sandrine Charousset-Brignol</author>
    <author>Antonio Frangioni</author>
    <series>
      <title>ZIB-Report</title>
      <number>20-08</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>energy systems analysis and optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>simulation and planning under uncertainty</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>renewables integration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sector coupling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>climate change impact</value>
    </subject>
    <collection role="institutes" number="enernet">Energy Network Optimization</collection>
    <collection role="persons" number="yueksel-erguen">Yüksel-Ergün, Inci</collection>
    <collection role="projects" number="plan4res">Plan4res</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/7807/ZIBReport20-08.pdf</file>
  </doc>
  <doc>
    <id>8570</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>113</pageFirst>
    <pageLast>116</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>9</volume>
    <type>other</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2021-04-09</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Synergistic approach of multi-energy models for a European optimal energy system management tool</title>
    <parentTitle language="eng">The Project Repository Journal</parentTitle>
    <enrichment key="PeerReviewed">no</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="FulltextUrl">https://www.europeandissemination.eu/project-repository-journal-volume-9-april-2021/13570</enrichment>
    <author>Sandrine Charousset-Brignol</author>
    <submitter>Inci Yüksel-Ergün</submitter>
    <author>Wim van Ackooij</author>
    <author>Nadia Oudjane</author>
    <author>Dominique Daniel</author>
    <author>Slimane Noceir</author>
    <author>Utz-Uwe Haus</author>
    <author>Alfio Lazzaro</author>
    <author>Antonio Frangioni</author>
    <author>Rafael Lobato</author>
    <author>Ali Ghezelsoflu</author>
    <author>Niccolò Iardella</author>
    <author>Laura Galli</author>
    <author>Enrico Gorgone</author>
    <author>Mauro dell’Amico</author>
    <author>Spyros Giannelos</author>
    <author>Alex Moreira</author>
    <author>Goran Strbac</author>
    <author>Stefan Borozan</author>
    <author>Paula Falugi</author>
    <author>Danny Pudjianto</author>
    <author>Lothar Wyrwoll</author>
    <author>Carlo Schmitt</author>
    <author>Marco Franken</author>
    <author>Daniel Beulertz</author>
    <author>Henrik Schwaeppe</author>
    <author>Dieter Most</author>
    <author>Inci Yüksel-Ergün</author>
    <author>Janina Zittel</author>
    <author>Thorsten Koch</author>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="persons" number="zittel">Zittel, Janina</collection>
    <collection role="persons" number="yueksel-erguen">Yüksel-Ergün, Inci</collection>
    <collection role="projects" number="plan4res">Plan4res</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
</export-example>
