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Elsevier, Energy Procedia, (63), p. 1074-1083, 2014

DOI: 10.1016/j.egypro.2014.11.115

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Solid Formation in Piperazine Rate-based Simulation

Journal article published in 2014 by Jozsef Gaspar ORCID, Kaj Thomsen, Nicolas Von Solms, Philip Loldrup Fosbøl ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

ScienceDirect 1876-6102 © 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Peer-review under responsibility of the Organizing Committee of GHGT-12 Abstract Piperazine is a promising solvent for reducing CO 2 emissions. It can be applied for the post-combustion capture process and it has limited degradation and fast kinetics. However, precipitation and slurry formation still represent a challenge for the PZ-CO 2 -H 2 O system from an operational point of view but also from a modeling perspective. The present work develops a rate-based model for CO 2 absorption and desorption modeling for gas-liquid-solid systems and it is demonstrated for the piperazine CO 2 capture process. This model is an extension of the DTU CAPCO2 model to precipitating systems. It uses the extended UNIQUAC thermodynamic model for phase equilibria and thermal properties estimation. The mass and heat transfer phenomena is implemented in a film model approach, based on second order reactions kinetics. The transfer fluxes are calculated using the concentration of the dissolved species since the piperazine is deactivated when present as solid. It is assumed that solid-gas reactions are slow compared to normal liquid side reactions. In the current work, the formation of solids is described in an equilibrium approach, assuming instantaneous formation of hydrates such as PZ˜6H 2 O, PZ˜½H 2 O, and anhydrous PZ. The simulation of a 100t/hr post-combustion capture plant outlines that 5 % solid reduces the CO 2 capture rate with 13%. Therefore, it demonstrates that an accurate description of the precipitation phenomenon is essential for realistic and accurate modeling.