Abstract
A predictive simulation model was applied to design a fixed-bed adsorber for evaluating the removal of total organic acid (TOA) anions from lean methyldiethanolamine (MDEA) solution using calcium alginate bentonite (CAB) clay hybrid composite adsorbent. The predictive Homogeneous Surface Diffusion Model (HSDM) does not require any test column breakthrough curves a priori. Mass transfer coefficients and isotherm model parameters were provided as input data to HSDM for simulating column breakthrough curves. Various isotherm models were fitted to batch equilibrium data for TOA adsorption on CAB composite adsorbent. Based on Akaike Information Criterion (AIC), Freundlich isotherm was selected and the model parameters were obtained by non-linear regression. Film transfer coefficients and surface diffusivities were determined using appropriate empirical correlations available in the literature. HSDM predictions were first validated using lab-scale column adsorption data generated at lower residence times. The effects of Biot and Stanton numbers on breakthrough times were determined using the dimensionless HSDM system and a suitable scale-up regime (Bi ~ 1 and St > 10) was established wherein the sensitivity of mass transfer parameters would be minimal. Using similitude rules on key design parameters, a pilot-scale adsorption column was designed and breakthrough curves were generated using the validated HSDM. The appropriateness of the design technique was verified by comparing the estimated breakthrough data and column design parameters with conventional scale-up and kinetic approaches.
Original language | British English |
---|---|
Article number | 82 |
Journal | Oil and Gas Science and Technology |
Volume | 75 |
DOIs | |
State | Published - 2020 |