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Process synthesis and controllability assessment of CO2 capture plants in a parallel environment

Vasilas, Nikolaos; Natsiavas, Panagiotis; Papadopoulos, Athanasios; Seferlis, Panos


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  <identifier identifierType="DOI">10.5281/zenodo.3943723</identifier>
  <creators>
    <creator>
      <creatorName>Vasilas, Nikolaos</creatorName>
      <givenName>Nikolaos</givenName>
      <familyName>Vasilas</familyName>
      <affiliation>Centre for Research and Technology Hellas (CERTH)</affiliation>
    </creator>
    <creator>
      <creatorName>Natsiavas, Panagiotis</creatorName>
      <givenName>Panagiotis</givenName>
      <familyName>Natsiavas</familyName>
      <affiliation>Centre for Research and Technology Hellas (CERTH)</affiliation>
    </creator>
    <creator>
      <creatorName>Papadopoulos, Athanasios</creatorName>
      <givenName>Athanasios</givenName>
      <familyName>Papadopoulos</familyName>
      <affiliation>Centre for Research and Technology Hellas (CERTH)</affiliation>
    </creator>
    <creator>
      <creatorName>Seferlis, Panos</creatorName>
      <givenName>Panos</givenName>
      <familyName>Seferlis</familyName>
      <affiliation>Aristotle University of Thessaloniki</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Process synthesis and controllability assessment of CO2 capture plants in a parallel environment</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-07-14</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3943723</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3943722</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The objective of this work is to develop, implement and evaluate a parallel computational framework for the simultaneous process synthesis and controllability assessment of absorption/desorption processes for postcombustion CO2 capture. The framework employs a stochastic optimisation algorithm which is able to handle efficiently discrete design variables, pertaining to process flowsheet structural features represented through a generic superstructure. The discrete design parameters are introduced iteratively into a deterministic optimisation algorithm which is efficient for continuous design variables and operates internally within the stochastic algorithm. Every solution obtained by the continuous algorithm is transferred into a controllability assessment stage, implemented in the form of a non-linear sensitivity analysis approach which evaluates the effect of disturbances within an optimum control scheme. This layout is realized within a synchronous, parallel realization of a Simulated Annealing algorithm, where the primal-dual interior-point optimisation algorithm, as implemented by the Interior Point Optimizer (IPOPT) software, is used for steady-state process design and the predictor-corrector homotopy-continuation algorithm, using the PITCON software, for controllability assessment. The obtained results show that the parallelisation scheme is computationally very efficient and the obtained solution is 52 % better in terms of overall performance than a corresponding, conventional sequential process design and control approach.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/801015/">801015</awardNumber>
      <awardTitle>Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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