Parameterization and Sensitivity Analysis of an Industrial Scale Adsorption Column for the Removal of Chromium (VI) from Wastewater

Heavy metal pollution significantly threatens aquatic ecosystems and life’s health. These have different characteristics that make them persistent, bioaccumulative, and non-biodegradable, negatively affecting the food chain of the area of influence. Hexavalent chromium is highly toxic and can cause...

Full description

Saved in:
Bibliographic Details
Main Authors: Candelaria N. Tejada Tovar, Angel Villabona-Ortiz, Angel D. Gonzalez-Delgado
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2025-07-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/15251
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Heavy metal pollution significantly threatens aquatic ecosystems and life’s health. These have different characteristics that make them persistent, bioaccumulative, and non-biodegradable, negatively affecting the food chain of the area of influence. Hexavalent chromium is highly toxic and can cause various harmful effects on humans and ecosystems, depending on the potency and amount of exposure. This study aims to use Computer Aided Process Engineering (CAPE) to model an industrial-scale operating column for Cr (VI) adsorption in an aqueous solution, taking advantage of the biomass of Theobroma cacao L. For this, Aspen Adsorption software was used to perform various simulations of an industrial-scale adsorption column with different configurations to obtain a parametric sensitivity analysis. The results show that using the Langmuir-Quadratic lumped resistance (QDF) model to simulate the adsorption column for Cr (VI) removal yields up to 98% efficiencies. On the other hand, the best conditions for simulating the adsorption column were a bed height of 5 m, an initial concentration of 5000 mg/L, and an input flow of 100 m3/day. The present study is shown as a novel form of engineering prediction of the potential performance of adsorption columns packed with organic waste-based biomasses using computer-aided engineering.
ISSN:2283-9216