Published July 14, 2020 | Version v1
Conference paper Open

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

  • 1. Centre for Research and Technology Hellas (CERTH)
  • 2. Aristotle University of Thessaloniki


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.



Files (407.7 kB)

Name Size Download all
407.7 kB Preview Download

Additional details


EXA2PRO – Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems 801015
European Commission