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Conference object . 2020
License: CC BY
Data sources: ZENODO
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Conference object . 2020
License: CC BY
Data sources: Datacite
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Process synthesis and controllability assessment of CO2 capture plants in a parallel environment

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

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

Abstract

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.

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  • citations
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    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
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138
43
Funded by
EC| EXA2PRO
Project
EXA2PRO
Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems
  • Funder: European Commission (EC)
  • Project Code: 801015
  • Funding stream: H2020 | RIA
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