Mass-Transfer Performance for CO₂ Absorption by 2-(2-Aminoethylamino)ethanol Solution in a Rotating Packed Bed

Abstract

The emission of CO 2 is leading to serious global climate change, which has attracted increasing attention. In this work, a rotating packed bed (RPB) was employed as a highly effective reactor to intensify the CO 2 absorption in an alkanolamine solution that mainly contained 2-(2-aminoethylamino)ethanol (AEEA). The effects of important operating conditions, such as high gravity level, amine solvent concentration, gas/liquid flow ratio, CO 2 inlet concentration, absorption temperature, and CO 2 loading in the amine solvent, on the gas-phase volumetric mass-transfer coefficient (K G a) and CO 2 capture efficiency were investigated. The results indicated that the high gravity level and CO 2 inlet concentration had significant effects on K G a, and the experimental value of K G a was found to be about 1.42−2.86 kmol•m −3 •h −1 •kPa −1 in the RPB, which is an order of magnitude higher than that in a conventional packed column. Furthermore, an artificial neural network (ANN) model was applied to predict the mass-transfer performance. The values predicted using the ANN model were in good agreement with the experimental data (±10%).

Capture of CO2 by highly concentrated alkanolamine solutions in a rotating packed bed

“…Ma and Chen reported that the MMEA solutions exhibited a higher removal efficiency than MEA because MMEA reacts faster with CO 2 than MEA . Wu et al performed absorption of CO 2 in an RPB using AEEA solutions and showed that the mass transfer coefficient was an order of magnitude higher than that in a packed column . Sheng et al reported that the aqueous solution of DETA was an effective absorbent for CO 2 capture in an RPB .…”

“…Many investigations have studied the capture of CO 2 in an RPB using various alkanolamine solutions, including monoethanolamine (MEA), 2‐amino‐2‐methyl‐1‐propanol (AMP), methyl‐diethanolamine (MDEA), 2‐(2‐aminoethylamino)ethanol (AEEA), diethanolamine (DEA), diethylenetriamine (DETA), 2‐methyl‐amino‐ethanol (MMEA) and piperazine (PZ) . Alkanolamines that react rapidly with CO 2 , such as MEA, MMEA, AEEA, DETA, and PZ are favored because of the short residence time in an RPB.…”

“…and piperazine (PZ). [4][5][6][7][8][9][10][11][12][13][14][15][16][17] Alkanolamines that react rapidly with CO 2 , such as MEA, MMEA, AEEA, DETA, and PZ are favored because of the short residence time in an RPB. In 2003, Lin et al tested aqueous solutions of sodium hydroxide, MEA and AMP as absorbents for absorption of CO 2 in an RPB and the mass transfer coefficients of these absorbents were proposed.…”

“…14 Wu et al performed absorption of CO 2 in an RPB using AEEA solutions and showed that the mass transfer coefficient was an order of magnitude higher than that in a packed column. 15 Sheng et al reported that the aqueous solution of DETA was an effective absorbent for CO 2 capture in an RPB. 16 Chen et al performed absorption of CO 2 in an RPB using an amino acid salt, sodium aliphatic diamine sulphonate, mixed with PZ and DETA.…”

Spent Caustic Regeneration in a Rotating Packed Bed: Reaction and Separation Process Intensification

“…ANN, a typical sort of deep learning, is popularly and widely used in chemical engineering. , When applying an ANN, there is no need to consider the inherent mechanism of processes or phenomena. Some highly nonlinear and complex problems can be better handled . The ANN model is a black box operation with multi-input and multi-output data by using different structures and nonlinear basis functions .…”