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This study investigates the optimization of amine-based CO₂ desorption in post-combustion carbon capture (CC) systems using response surface methodology (RSM) to enhance the CO₂ desorption efficiency (CDE%) and energy efficiency as well as decreasing capital cost. Aspen-HYSYS simulations analyzed key operational parameters, including column pressure, inlet temperature, number of trays, and reflux ratio. Performing the analysis of variance (ANOVA) revealed that pressure significantly impacts CDE%. The predictive models for CDE% and energy consumption in different components demonstrated strong reliability, with R² values ranging from 0.8665 to 0.9952. These findings highlight the effectiveness of RSM in optimizing CO₂ desorption processes while minimizing energy consumption, contributing to the sustainability of industrial CC technologies and providing pathways for reducing greenhouse gas emissions effectively. Optimization results revealed that the maximum achievable CDE% is 44 %. The correspondence conditions included a pressure of 162.31 kPa, an inlet temperature of 72.05 °C, and a reflux ratio of 0.37 with 17 trays in stripper column. Total energy consumption rate of desorption process under these conditions was measured at 272,137.11 KW.
Moghaddam et al. (Fri,) studied this question.