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  <doc>
    <id>8283</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2021-07-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Blending hydrogen into natural gas: An assessment of the capacity of the German gas grid; Technical Report</title>
    <abstract language="eng">In the transition towards a pure hydrogen infrastructure, utilizing the existing natural gas infrastructure is a necessity. In this study, the maximal technically feasible injection of hydrogen into the existing German natural gas transmission network is analysed with respect to regulatory limits regarding the gas quality. We propose a transient tracking model based on the general pooling problem including linepack. The analysis is conducted using real-world hourly gas flow data on a network of about 10,000 km length.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-82838</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <author>Jaap Pedersen</author>
    <submitter>Jaap Pedersen</submitter>
    <author>Kai Hoppmann-Baum</author>
    <author>Janina Zittel</author>
    <author>Thorsten Koch</author>
    <series>
      <title>ZIB-Report</title>
      <number>21-21</number>
    </series>
    <collection role="persons" number="hennig">Hoppmann, Kai</collection>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="persons" number="zittel">Zittel, Janina</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="pedersen">Pedersen, Jaap</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="projects" number="MODAL-EnergyLab">MODAL-EnergyLab</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/8283/ZR_21-21.pdf</file>
    <file>https://opus4.kobv.de/opus4-zib/files/8283/ZR_21-21_v2.pdf</file>
  </doc>
  <doc>
    <id>7499</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>687</pageFirst>
    <pageLast>734</pageLast>
    <pageNumber/>
    <edition>2</edition>
    <issue/>
    <volume>22</volume>
    <type>article</type>
    <publisherName>Springer Nature</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2020-10-03</completedDate>
    <publishedDate>2021-06-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Controlling transient gas flow in real-world pipeline intersection areas</title>
    <abstract language="eng">Compressor stations are the heart of every high-pressure gas transport network. &#13;
Located at intersection areas of the network they are contained in huge complex plants, where they are in combination with valves and regulators responsible for routing and pushing the gas through the network.&#13;
Due to their complexity and lack of data compressor stations are usually dealt with in the scientific literature in a highly simplified and idealized manner.&#13;
As part of an ongoing project with one of Germany's largest Transmission System Operators to develop a decision support system for their dispatching center, we investigated how to automatize control of compressor stations. Each station has to be in a particular configuration, leading in combination with the other nearby elements to a discrete set of up to 2000 possible feasible operation modes in the intersection area.&#13;
Since the desired performance of the station changes over time, the configuration of the station has to adapt.&#13;
Our goal is to minimize the necessary changes in the overall operation modes and related elements over time, while fulfilling a preset performance envelope or demand scenario.&#13;
This article describes the chosen model and the implemented mixed integer programming based algorithms to tackle this challenge.&#13;
By presenting extensive computational results on real world data we demonstrate the performance of our approach.</abstract>
    <parentTitle language="eng">Optimization and Engineering</parentTitle>
    <identifier type="doi">https://doi.org/10.1007/s11081-020-09559-y</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-73645</enrichment>
    <enrichment key="AcceptedDate">2020-09-04</enrichment>
    <author>Felix Hennings</author>
    <submitter>Felix Hennings</submitter>
    <author>Lovis Anderson</author>
    <author>Kai Hoppmann-Baum</author>
    <author>Mark Turner</author>
    <author>Thorsten Koch</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="hennig">Hoppmann, Kai</collection>
    <collection role="persons" number="koch">Koch, Thorsten</collection>
    <collection role="projects" number="MODAL-GasLab">MODAL-GasLab</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="enernet">Energy Network Optimization</collection>
    <collection role="persons" number="turner">Turner, Mark Ruben</collection>
    <collection role="institutes" number="aim">Applied Algorithmic Intelligence Methods</collection>
    <collection role="projects" number="MODAL-EnergyLab">MODAL-EnergyLab</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
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