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  <doc>
    <id>290</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>preprint</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2019-12-16</completedDate>
    <publishedDate>2019-12-16</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Energy-intense production-inventory planning with participation in sequential energy markets</title>
    <abstract language="eng">To support the uprise of demand response, especially in the context of industrial processes, we propose a new approach to integrally determine the production-inventory plan and the cost-minimizing bids to participate in sequential reserve and energy-only markets. In particular, our approach considers time-coupling constraints which occur in the context of a production-inventory planning problem. We extend this problem with a comprehensive bidding formulation, which allows evaluating revenues and potential cost from the market participation, considering price uncertainties and uncertain activations of committed reserve capacity. This results in a multistage stochastic mixed-integer linear program, which explicitly considers the stage-wise revelation of information in our setup. To illustrate the capabilities of our approach, we apply our model to a real-world case study in which we investigate the participation of a cement plant in the German energy-only and reserve markets. The results of our case study indicate significant revenues for flexible industrial processes when participating in German spot and reserve markets.</abstract>
    <enrichment key="SubmissionStatus">revision under review</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Markus Bohlayer</author>
    <author>Markus Fleschutz</author>
    <author>Marco Braun</author>
    <author>Gregor Zöttl</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Demand side flexibility Load management Multi market bidding Stochastic programming Production planning Demand response</value>
    </subject>
    <collection role="institutes" number="">Friedrich-Alexander-Universität Erlangen-Nürnberg</collection>
    <collection role="subprojects" number="">B09</collection>
    <collection role="institutes" number="">Karlsruhe University of Applied Sciences</collection>
    <collection role="institutes" number="">Cork Institute of Technology</collection>
    <file>https://opus4.kobv.de/opus4-trr154/files/290/Energy_intense_production_inventory_GESAMT.pdf</file>
  </doc>
</export-example>
