Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation

A process model to describe SO2 absorption from exhaust gas using an absorptive magnesium-based slurry was developed in Aspen Plus® V10. The model includes the thermodynamic description of the electrolyte system MgO-CaO-SO2-H2O-O2-CO2, including precipitation reactions in the system. The property me...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Barbara D. Weiß, Wolfgang Fuchs, Michael Harasek
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/abac5a1ef9d542eaa4ea9ab821997a7b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:abac5a1ef9d542eaa4ea9ab821997a7b
record_format	dspace
spelling	oai:doaj.org-article:abac5a1ef9d542eaa4ea9ab821997a7b2021-11-15T21:48:14ZFinding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation10.3303/CET21880892283-9216https://doaj.org/article/abac5a1ef9d542eaa4ea9ab821997a7b2021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11882https://doaj.org/toc/2283-9216A process model to describe SO2 absorption from exhaust gas using an absorptive magnesium-based slurry was developed in Aspen Plus® V10. The model includes the thermodynamic description of the electrolyte system MgO-CaO-SO2-H2O-O2-CO2, including precipitation reactions in the system. The property method electrolyte-NRTL with an asymmetric reference state was chosen as the thermodynamic method. The model was evaluated using plant data for pH value, HSO3- and SO3-- content of the liquid phase from an industrial SO2 absorption venturi system of the pulp and paper industry. The model shows good accuracy in describing the pH value and the combined HSO3- and SO3-- content. Sensitivity analyses were performed to identify key parameters that influence unwanted precipitation reactions in the system and to support the optimization of the SO2 absorption process. Temperature and the Mg(OH)2/SO2 ratio in the system were identified as key parameters influencing the formation and precipitation of sulfites. The pH value was identified as a key parameter affecting the precipitation of magnesium hydroxide. The model predicts the precipitation of Mg(OH)2 at a pH value of higher than 8 and the precipitation of MgSO3 trihydrate at a temperature higher than 78 °C or a slurry/SO2 ratio higher than around 4. The performed analyses can support optimized process design decisions for SO2 absorption processes to avoid limiting precipitation issues.Barbara D. WeißWolfgang FuchsMichael HarasekAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Barbara D. Weiß Wolfgang Fuchs Michael Harasek Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation
description	A process model to describe SO2 absorption from exhaust gas using an absorptive magnesium-based slurry was developed in Aspen Plus® V10. The model includes the thermodynamic description of the electrolyte system MgO-CaO-SO2-H2O-O2-CO2, including precipitation reactions in the system. The property method electrolyte-NRTL with an asymmetric reference state was chosen as the thermodynamic method. The model was evaluated using plant data for pH value, HSO3- and SO3-- content of the liquid phase from an industrial SO2 absorption venturi system of the pulp and paper industry. The model shows good accuracy in describing the pH value and the combined HSO3- and SO3-- content. Sensitivity analyses were performed to identify key parameters that influence unwanted precipitation reactions in the system and to support the optimization of the SO2 absorption process. Temperature and the Mg(OH)2/SO2 ratio in the system were identified as key parameters influencing the formation and precipitation of sulfites. The pH value was identified as a key parameter affecting the precipitation of magnesium hydroxide. The model predicts the precipitation of Mg(OH)2 at a pH value of higher than 8 and the precipitation of MgSO3 trihydrate at a temperature higher than 78 °C or a slurry/SO2 ratio higher than around 4. The performed analyses can support optimized process design decisions for SO2 absorption processes to avoid limiting precipitation issues.
format	article
author	Barbara D. Weiß Wolfgang Fuchs Michael Harasek
author_facet	Barbara D. Weiß Wolfgang Fuchs Michael Harasek
author_sort	Barbara D. Weiß
title	Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation
title_short	Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation
title_full	Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation
title_fullStr	Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation
title_full_unstemmed	Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation
title_sort	finding optimized process conditions to minimize precipitations in an so2 absorption process using thermodynamic process simulation
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/abac5a1ef9d542eaa4ea9ab821997a7b
work_keys_str_mv	AT barbaradweiß findingoptimizedprocessconditionstominimizeprecipitationsinanso2absorptionprocessusingthermodynamicprocesssimulation AT wolfgangfuchs findingoptimizedprocessconditionstominimizeprecipitationsinanso2absorptionprocessusingthermodynamicprocesssimulation AT michaelharasek findingoptimizedprocessconditionstominimizeprecipitationsinanso2absorptionprocessusingthermodynamicprocesssimulation
_version_	1718426805211234304

Finding Optimized Process Conditions to Minimize Precipitations in an SO2 Absorption Process Using Thermodynamic Process Simulation

Ejemplares similares