Modeling and optimization of CO₂ mass transfer flux into Pz-KOH-CO₂ system using RSM and ANN.

ABSTRACT: In this research, artificial neural networks (ANN) and response surface methodology (RSM) were applied for modeling and optimization of carbon dioxide (CO₂) absorption using KOH-Pz-CO₂ system. In the RSM approach, the central composite design (CCD) describes the performance condition in accordance with the model using the least-squares technique. The experimental data was placed in second-order equations applying multivariate regressions and appraised applying analysis of variance (ANOVA). The p-value for all dependent variables was obtained to be less than 0.0001, indicating that all models were significant. Furthermore, the experimental values obtained for the mass transfer flux satisfactorily matched the model values. The R² and Adj-R² models

SUBMITTER: Pashaei H 

PROVIDER: S-EPMC10006194 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature