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    <completedDate>1996-02-01</completedDate>
    <publishedDate>1996-02-01</publishedDate>
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    <title language="deu">Optimale Blockauswahl bei der Kraftwerkseinsatzplanung</title>
    <abstract language="eng">The paper addresses the unit commitment problem in power plant operation planning. For a real power system comprising coal and gas fired thermal as well as pumped storage hydro plants a large-scale mixed integer optimization model for unit commitment is developed. Then primal and dual approaches to solving the optimization problem are presented and results of test runs are reported.</abstract>
    <identifier type="serial">SC-96-03</identifier>
    <identifier type="opus3-id">214</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-2144</identifier>
    <enrichment key="SourceTitle">Erschienen in: Mathematik -Schlüsseltechnologie für die Zukunft : Verbundprojekte zwischen Universität und Industrie. K.-H. Hoffmann et al. (eds.) Springer 1997, S. 567-577</enrichment>
    <author>Darinka Dentcheva</author>
    <author>Andris Möller</author>
    <author>Peter Reeh</author>
    <author>Werner Römisch</author>
    <author>Rüdiger Schultz</author>
    <author>Gert Schwarzbach</author>
    <author>Jörg Thomas</author>
    <series>
      <title>ZIB-Report</title>
      <number>SC-96-03</number>
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    <collection role="ddc" number="000">Informatik, Informationswissenschaft, allgemeine Werke</collection>
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    <publishedYear>2020</publishedYear>
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    <title language="eng">Capacity Evaluation for Large-Scale Gas Networks</title>
    <parentTitle language="eng">German Success Stories in Industrial Mathematics</parentTitle>
    <identifier type="doi">10.1007/978-3-030-81455-7</identifier>
    <identifier type="isbn">978-3-030-81454-0</identifier>
    <enrichment key="PeerReviewed">no</enrichment>
    <enrichment key="AcceptedDate">2020</enrichment>
    <author>Thorsten Koch</author>
    <author>Martin Schmidt</author>
    <author>Benjamin Hiller</author>
    <author>Marc Pfetsch</author>
    <author>Björn Geißler</author>
    <author>René Henrion</author>
    <author>Imke Joormann</author>
    <author>Alexander Martin</author>
    <author>Antonio Morsi</author>
    <author>Werner Römisch</author>
    <author>Lars Schewe</author>
    <author>Rüdiger Schultz</author>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
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    <collection role="institutes" number="Mathematical Algorithmic Intelligence">Mathematical Algorithmic Intelligence</collection>
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  <doc>
    <id>4738</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>449</pageFirst>
    <pageLast>473</pageLast>
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    <issue>3</issue>
    <volume>5</volume>
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    <publisherName>Springer Berlin Heidelberg</publisherName>
    <publisherPlace>Berlin</publisherPlace>
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    <completedDate>--</completedDate>
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    <title language="eng">Mathematical optimization for challenging network planning problems in unbundled liberalized gas markets</title>
    <abstract language="eng">The recently imposed new gas market liberalization rules in Germany lead to a change of business of gas network operators. While previously network operator and gas vendor were united, they were forced to split up into independent companies. The network has to be open to any other gas trader at the same conditions, and free network capacities have to be identified and publicly offered in a non-discriminatory way. We discuss how these changing paradigms lead to new and challenging mathematical optimization problems. This includes the validation of nominations, that asks for the decision if the network’s capacity is sufficient to transport a specific amount of flow, the verification of booked capacities and the detection of available freely allocable capacities, and the topological extension of the network with new pipelines or compressors in order to increase its capacity. In order to solve each of these problems and to provide meaningful results for the practice, a mixture of different mathematical aspects have to be addressed, such as combinatorics, stochasticity, uncertainty, and nonlinearity. Currently, no numerical solver is available that can deal with such blended problems out-of-the-box. The main goal of our research is to develop such a solver, that moreover is able to solve instances of realistic size. In this article, we describe the main ingredients of our prototypical software implementations.</abstract>
    <parentTitle language="eng">Energy Systems</parentTitle>
    <identifier type="doi">10.1007/s12667-013-0099-8</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-17821</enrichment>
    <author>Armin Fügenschuh</author>
    <submitter> Humpola</submitter>
    <author>Björn Geißler</author>
    <author>Ralf Gollmer</author>
    <author>Christine Hayn</author>
    <author>René Henrion</author>
    <author>Benjamin Hiller</author>
    <author>Jesco Humpola</author>
    <author>Thorsten Koch</author>
    <author>Thomas Lehmann</author>
    <author>Alexander Martin</author>
    <author>Radoslava Mirkov</author>
    <author>Antonio Morsi</author>
    <author>Werner Römisch</author>
    <author>Jessica Rövekamp</author>
    <author>Lars Schewe</author>
    <author>Martin Schmidt</author>
    <author>Rüdiger Schultz</author>
    <author>Robert Schwarz</author>
    <author>Jonas Schweiger</author>
    <author>Claudia Stangl</author>
    <author>Marc Steinbach</author>
    <author>Bernhard Willert</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="fuegenschuh">Fügenschuh, Armin</collection>
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  <doc>
    <id>3266</id>
    <completedYear>2011</completedYear>
    <publishedYear>2011</publishedYear>
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    <language>eng</language>
    <pageFirst>115</pageFirst>
    <pageLast>125</pageLast>
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    <issue/>
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    <type>conferenceobject</type>
    <publisherName>VDI-Verlag, Düsseldorf</publisherName>
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    <completedDate>--</completedDate>
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    <title language="eng">Szenariogenerierung zur Modellierung der stochastischen Ausspeiselasten in einem Gastransportnetz</title>
    <parentTitle language="eng">Optimierung in der Energiewirtschaft</parentTitle>
    <identifier type="url">http://www2.mathematik.hu-berlin.de/%7Eromisch/papers/SzengenVDI11.pdf</identifier>
    <enrichment key="Series">VDI-Berichte 2157</enrichment>
    <enrichment key="PeerReviewed">no</enrichment>
    <author>Thorsten Koch</author>
    <author>Hernan Leövey</author>
    <author>Radoslava Mirkov</author>
    <author>Werner Römisch</author>
    <author>Isabel Wegner-Specht</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
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  <doc>
    <id>1782</id>
    <completedYear/>
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    <language>eng</language>
    <pageFirst/>
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    <pageNumber/>
    <edition/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2013-03-07</completedDate>
    <publishedDate>2013-03-07</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Mathematical Optimization for Challenging Network Planning Problems in Unbundled Liberalized Gas Markets</title>
    <abstract language="eng">The recently imposed new gas market liberalization rules in Germany lead to a change of business of gas network operators. &#13;
While previously network operator and gas vendor where united, they were forced to split up into independent companies. &#13;
The network has to be open to any other gas trader at the same conditions, and free network capacities have to be identified and publicly offered in a non-discriminatory way. &#13;
We show that these new paradigms lead to new and challenging mathematical optimization problems. &#13;
In order to solve them and to provide meaningful results for practice, all aspects of the underlying problems, such as combinatorics, stochasticity, uncertainty, and nonlinearity, have to be addressed. &#13;
With such special-tailored solvers, free network capacities and topological network extensions can, for instance, be determined.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-17821</identifier>
    <identifier type="doi">10.1007/s12667-013-0099-8</identifier>
    <enrichment key="SourceTitle">Appeared in:  Energy Systems  5 (2014) 449-473</enrichment>
    <author>Armin Fügenschuh</author>
    <submitter>Jonas Schweiger</submitter>
    <author>Björn Geißler</author>
    <author>Ralf Gollmer</author>
    <author>Christine Hayn</author>
    <author>Rene Henrion</author>
    <author>Benjamin Hiller</author>
    <author>Jesco Humpola</author>
    <author>Thorsten Koch</author>
    <author>Thomas Lehmann</author>
    <author>Alexander Martin</author>
    <author>Radoslava Mirkov</author>
    <author>Antonio Morsi</author>
    <author>Werner Römisch</author>
    <author>Jessica Rövekamp</author>
    <author>Lars Schewe</author>
    <author>Martin Schmidt</author>
    <author>Rüdiger Schultz</author>
    <author>Robert Schwarz</author>
    <author>Jonas Schweiger</author>
    <author>Claudia Stangl</author>
    <author>Marc Steinbach</author>
    <author>Bernhard Willert</author>
    <series>
      <title>ZIB-Report</title>
      <number>13-13</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gas Market Liberalization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Entry-Exit Model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gas Network Access Regulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mixed-Integer Nonlinear Nonconvex Stochastic Optimization</value>
    </subject>
    <collection role="pacs" number="89.30.-g">Energy resources (see also 84.60.-h Direct energy conversion and storage)</collection>
    <collection role="msc" number="90B10">Network models, deterministic</collection>
    <collection role="msc" number="90C11">Mixed integer programming</collection>
    <collection role="msc" number="90C30">Nonlinear programming</collection>
    <collection role="msc" number="90C90">Applications of mathematical programming</collection>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="fuegenschuh">Fügenschuh, Armin</collection>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="projects" number="MODAL-GasLab">MODAL-GasLab</collection>
    <collection role="projects" number="ForNe">ForNe</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="schweiger">Schweiger, Jonas</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/1782/ZR-13-13.pdf</file>
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    <id>4994</id>
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    <completedDate>--</completedDate>
    <publishedDate>2014-05-13</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Jack of all Trades? Solving stochastic mixed-integer nonlinear constraint programs</title>
    <abstract language="eng">Natural gas is one of the most important energy sources in Germany and Europe.  In recent years, political regulations have led to a strict separation of gas trading and gas transport, thereby assigning a central role in energy politics to the transportation and distribution of gas. These newly imposed political requirements influenced the technical processes of gas transport in such a way that the complex task of planning and operating gas networks has become even more intricate.&#13;
&#13;
Mathematically, the combination of discrete decisions on the configuration of a gas transport network, the nonlinear equations describing the physics of gas, and the uncertainty in demand and supply yield large-scale and highly complex stochastic mixed-integer nonlinear optimization problems.&#13;
&#13;
The Matheon project "Optimization of Gas Transport" takes the key role of making available the necessary core technology to solve the mathematical optimization problems which model the topology planning and the operation of gas networks. An important aspect of the academic impact is the free availability of our framework. As a result of several years of research and development, it is now possible to download a complete state-of-the-art framework for mixed-integer linear and nonlinear programming in source code at http://scip.zib.de</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-49947</identifier>
    <identifier type="doi">10.4171/137</identifier>
    <enrichment key="SourceTitle">Appeared in: Matheon - Mathematics for Key Technologies. EMS 2014, pp. 135-146</enrichment>
    <author>Thomas Arnold</author>
    <submitter>Timo Berthold</submitter>
    <author>Timo Berthold</author>
    <author>Stefan Heinz</author>
    <author>Stefan Vigerske</author>
    <author>René Henrion</author>
    <author>Martin Grötschel</author>
    <author>Thorsten Koch</author>
    <author>Caren Tischendorf</author>
    <author>Werner Römisch</author>
    <series>
      <title>ZIB-Report</title>
      <number>14-14</number>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>gas transport optimization</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mixed integer nonlinear programming</value>
    </subject>
    <collection role="msc" number="90C11">Mixed integer programming</collection>
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    <file>https://opus4.kobv.de/opus4-zib/files/4994/B-koch-thorsten.pdf</file>
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    <publishedYear>2014</publishedYear>
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    <pageFirst>135</pageFirst>
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    <title language="eng">A Jack of all Trades? Solving stochastic mixed-integer nonlinear constraint programs</title>
    <abstract language="eng">Natural gas is one of the most important energy sources in Germany and Europe. In recent years, political regulations have led to a strict separation of gas trading and gas transport, thereby assigning a central role in energy politics to the transportation and distribution of gas. These newly imposed political requirements influenced the technical processes of gas transport in such a way that the complex task of planning and operating gas networks has become even more intricate. Mathematically, the combination of discrete decisions on the configuration of a gas transport network, the nonlinear equations describing the physics of gas, and the uncertainty in demand and supply yield large-scale and highly complex stochastic mixed-integer nonlinear optimization problems. The Matheon project "Optimization of Gas Transport" takes the key role of making available the necessary core technology to solve the mathematical optimization problems which model the topology planning and the operation of gas networks. An important aspect of the academic impact is the free availability of our framework. As a result of several years of research and development, it is now possible to download a complete state-of-the-art framework for mixed-integer linear and nonlinear programming in source code at http://scip.zib.de</abstract>
    <parentTitle language="eng">MATHEON - Mathematics for Key Technologies</parentTitle>
    <identifier type="doi">10.4171/137</identifier>
    <enrichment key="Series">EMS Series in Industrial and Applied Mathematics</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-49947</enrichment>
    <editor>Peter Deuflhard</editor>
    <author>Thomas Arnold</author>
    <submitter>Bettina Kasse</submitter>
    <editor>Martin Grötschel</editor>
    <author>Timo Berthold</author>
    <editor>Dietmar Hömberg</editor>
    <author>Stefan Heinz</author>
    <editor>Ulrich Horst</editor>
    <author>Stefan Vigerske</author>
    <editor>Jürg Kramer</editor>
    <author>René Henrion</author>
    <author>Martin Grötschel</author>
    <editor>Volker Mehrmann</editor>
    <author>Thorsten Koch</author>
    <editor>Konrad Polthier</editor>
    <author>Caren Tischendorf</author>
    <editor>Frank Schmidt</editor>
    <author>Werner Römisch</author>
    <editor>Christof Schütte</editor>
    <editor>Martin Skutella</editor>
    <editor>Jürgen Sprekels</editor>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
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    <collection role="persons" number="berthold">Berthold, Timo</collection>
    <collection role="persons" number="groetschel">Grötschel, Martin</collection>
    <collection role="persons" number="heinz">Heinz, Stefan</collection>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="persons" number="vigerske">Vigerske, Stefan</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
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    <publishedYear>2015</publishedYear>
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    <completedDate>--</completedDate>
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    <title language="eng">Methods for verifying booked capacities</title>
    <parentTitle language="eng">Evaluating gas network capacities</parentTitle>
    <enrichment key="Series">MOS-SIAM series on optimization</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Benjamin Hiller</author>
    <submitter>Regine Kossick</submitter>
    <author>Christine Hayn</author>
    <author>Holger Heitsch</author>
    <author>René Henrion</author>
    <author>Hernan Leövey</author>
    <author>Andris Möller</author>
    <author>Werner Römisch</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="projects" number="MODAL-GasLab">MODAL-GasLab</collection>
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