Conference paper Open Access

# 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>
<givenName>Athanasios</givenName>
<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="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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