Simulation and multivariable optimization of post-combustion capture using piperazine

Simulation and multivariable optimization of post-combustion capture using piperazine •We simulate in closed-loop the piperazine CO2 capture process using a novel in-house rate-based model which includes the impact of solid formation.•We identify and generalize trends of performance as function of key parameters, e.g. PZ concentration, lean and rich loading, reboiler pressure and temperature.•We optimize the performance of the capture process by varying the piperazine concentration and lean CO2 loading.•The important issue of precipitation is in focus when determining optimal operating conditions.•We pinpoint scenarios where intercooling significantly improves the energy performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Greenhouse Gas Control Elsevier

Simulation and multivariable optimization of post-combustion capture using piperazine

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Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier Ltd
ISSN
1750-5836
eISSN
1878-0148
D.O.I.
10.1016/j.ijggc.2016.03.009
Publisher site
See Article on Publisher Site

Abstract

•We simulate in closed-loop the piperazine CO2 capture process using a novel in-house rate-based model which includes the impact of solid formation.•We identify and generalize trends of performance as function of key parameters, e.g. PZ concentration, lean and rich loading, reboiler pressure and temperature.•We optimize the performance of the capture process by varying the piperazine concentration and lean CO2 loading.•The important issue of precipitation is in focus when determining optimal operating conditions.•We pinpoint scenarios where intercooling significantly improves the energy performance.

Journal

International Journal of Greenhouse Gas ControlElsevier

Published: Jun 1, 2016

References

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