Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Evaluation of the presence of carbon monoxide impact on CO2-rich mixture density and phase behavior at CCS process conditions.
Submission Author:
Natália Kauana Gesser Miotto , SC
Co-Authors:
Natália Kauana Gesser Miotto, Emaline Chiele Ferrari , Maria Fernanda Franzin , Antonio Marinho
Presenter: Natália Kauana Gesser Miotto
doi://10.26678/ABCM.COBEM2023.COB2023-2152
Abstract
Carbon Capture and Storage (CCS) technology is one of the main alternatives to help reduce CO2 emissions into the atmosphere and thus also contribute to the UN's Sustainable Development Goals (SDG). However, impurities such as argon, carbon monoxide, and methane in the captured CO2 play a crucial role in safely and effectively transporting and storing CO2 in the CCS chain. On the other hand, impurities can significantly increase the cost of processing, transport, and storage. Not to mention that those pose a significant challenge to design, operation, health, safety, and integrity. Understanding the impact of impurities in CO2-rich mixtures on the CCS process requires several interdisciplinary contributions to correctly evaluate process simulations, geological surveys, materials science, or safety analyses. At some point, these efforts require knowledge of the thermodynamic and physical properties of the CO2 and impurities. This article focuses on investigating the impact of carbon monoxide in CO2-rich mixtures over the operational range applied to CCS processes, mainly following the changes in thermophysical properties and phase changes. In the first approach, an experimental database from the literature for the CO2 + CO mixture was built, considering the density and liquid-vapor equilibrium at temperatures in the range of 283 to 373 K, the pressure from 1.9 to 48.65 MPa, and four different mole fractions of CO, covering the range of 0.05 to 0.51. After, the CO2 + CO system was modeled using the Non-Cubic (GERG-2008 and EOS-CG) and Cubic Equations of State (PR78) available on Multiflash software. Furthermore, these results were compared to the pure CO2 model (Span and Wagner EoS) to measure the impact of the CO. As a result, the EOS-CG model performed better than the other evaluated models with an Absolute Average Relative Error (AARE) of less than 1% and standard deviation values smaller than 3 kg/m3 to density. Meanwhile, PR78 reached the highest AARE between experimental and calculated values (> 10%). Thence, it became clear that CO in mixtures rich in CO2 has an inversely proportional impact on the density. Therefore, the EOS-CG model is the EoS more appropriate to simulate the CCS processes involving CO2 and CO mixtures.
Keywords
CO2, Impurities, Phase Behavior, equations of state, CCS.
