Modeling and parametrization of an adsorption column for nickel removal using computer-aided process engineering

Modelado y parametrización de una columna de adsorción para la remoción de níquel utilizando ingeniería de procesos asistida por computador

Published 2024-07-10

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Vol. 21 No. 42 (2024): Estructura cristalina del superconductor
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Modeling and parametrization of an adsorption column for nickel removal using computer-aided process engineering. (2024). Revista EIA, 21(42), 4226 pp. 1-18. https://doi.org/10.24050/reia.v21i42.1778
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https://doi.org/10.24050/reia.v21i42.1778
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Ángel Darío González Delgado
Universidad de Cartagena, Colombia
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Candelaria Nahir Tejada Tovar
Universidad de Cartagena, Colombia
http://orcid.org/0000-0002-2323-1544
Ángel Villabona Ortiz
Universidad de Cartagena, Colombia
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Juan Carlos Vergara Villadiego
Universidad de Cartagena, Colombia
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Elkin Enrique Olivella Henao
Universidad de Cartagena, Colombia
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Candelaria Nahir Tejada Tovar,

Ingeniera Química, Magister en Ingeniería Ambiental, Profesora Titular del programa del programa de Ingeniería Química, Facultad de Ingeniería, Universidad de Cartagena, Cartagena, Colombia, Process Design and Biomass Utilization Research Group (IDAB), Avenida del Consulado Calle 30 No. 48 – 152, Colombia; 130015

Heavy metals are pollutants that are generated by different activities, one of which is the
dumping of wastewater by industries into bodies of water, which represents a great threat
to aquatic and terrestrial biota, as well as health. These contaminants are persistent,
bioaccumulative and non-biodegradable, generating a negative effect on the food chain in the
area of influence. Nickel is a heavy metal that is used in different types of industries such
as battery production. This generates different harmful effects on the human body, such as
the cardiovascular or digestive system when exposed in large quantities. The objective of the
present study is to use Computer Aided Process Engineering (CAPE) to model an operational
column on an industrial scale aimed at the adsorption of Nickel (II) in aqueous solution taking
advantage of the biomass of Theobroma cacao L. Consequently, Aspen Adsorption software
was used to carry out multiple simulations of an adsorption column using various industrial
configurations, with the aim of performing a parametric sensitivity analysis. In the results
obtained, it is evident that the Langmuir model - global linear resistance kinetic model (LDF)
used to simulate the adsorption column in the elimination of Nickel (II) achieves efficiencies
of up to 95.8%. The best conditions for the simulation in the adsorption column were an
inlet flow rate of 300 m3/day, a bed height of 5 m and an initial concentration of 2000 mg/L.
Furthermore, it was observed that increasing the inlet flow led to a decrease in the rupture
and saturation time of the process, while increasing the bed height presented an increase in
the rupture and saturation time. On the other hand, concentration did not significantly affect
the efficiency of the process.

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