<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>6693</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>297</pageFirst>
    <pageLast>326</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>19</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2018-02-17</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Decomposition Approach for Optimal Gas Network   Extension with a Finite Set of Demand Scenarios</title>
    <abstract language="eng">Today's gas markets demand more flexibility from the network&#13;
  operators which in turn have to invest into their network&#13;
  infrastructure. As these investments are very cost-intensive and&#13;
  long-living, network extensions should not only focus on a single&#13;
  bottleneck scenario, but should increase the flexibility to fulfill&#13;
  different demand scenarios. In this work, we formulate a model for&#13;
  the network extension problem for multiple demand scenarios and&#13;
  propose a scenario decomposition in order to solve the arising&#13;
  challenging optimization tasks. In fact, each subproblem&#13;
  consists of a mixed-integer nonlinear optimization problem (MINLP).&#13;
  Valid bounds on the objective value are derived even&#13;
  without solving the subproblems to optimality. Furthermore, we&#13;
  develop heuristics that prove capable of improving the initial&#13;
  solutions substantially. Results of computational experiments on&#13;
  realistic network topologies are presented. It turns out that our&#13;
  method is able to solve these challenging instances to optimality&#13;
  within a reasonable amount of time.</abstract>
    <parentTitle language="eng">Optimization and Engineering</parentTitle>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="SourceTitle">Optimization and Engineering</enrichment>
    <enrichment key="AcceptedDate">2017-11-25</enrichment>
    <enrichment key="FulltextUrl">https://doi.org/10.1007/s11081-017-9371-4</enrichment>
    <author>Jonas Schweiger</author>
    <submitter>Jonas Schweiger</submitter>
    <author>Frauke Liers</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="projects" number="MODAL-GasLab">MODAL-GasLab</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="schweiger">Schweiger, Jonas</collection>
    <collection role="institutes" number="enernet">Energy Network Optimization</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
</export-example>
