Flexible operation of solvent regeneration systems for CO2 capture processes using advanced control techniques: Towards operational cost minimisation

A. Arce, N. Mac Dowell, N. Shah, L. F. Vega

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

Abstract

We present a novel approach for the control of the solvent regeneration system of amine-based CO2 capture processes. This relies on the real-time evaluation of the cost-optimal extent of solvent regeneration at given energy and CO2 prices. To achieve this, a multilevel, model predictive control architecture is proposed and developed for this system. The low-level control regulates the level of solvent inside the reboiler and the power supplied to the system, while the high-level control regulates the extent of the solvent regeneration in order to minimize the operating cost. This approach ensures the safe operation of the system while concurrently enhancing process flexibility. We demonstrate that this new technique can result in a reduction of up to 10% in energy cost required for solvent regeneration. A simulator tool developed in Matlab™ is available on request.

Original languageBritish English
Pages (from-to)236-250
Number of pages15
JournalInternational Journal of Greenhouse Gas Control
Volume11
DOIs
StatePublished - Nov 2012

Keywords

  • Dynamic process modelling
  • Model predictive control
  • SAFT-VR
  • Solvent regeneration

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