Pre-combustion capture of CO₂¡ªResults from solvent absorption pilot plant trials using 30 wt % potassium carbonate and boric acid promoted potassium carbonate solvent

详细信息    查看全文

• 作者：Kathryn H. Smith ; Clare J. Anderson ; Wendy Tao ; Kohei Endo ; Kathryn A. Mumford ; S ; ra E. Kentish ; Abdul Qader ; Barry Hooper ; Geoff W. Stevens
• 关键词：CO2 capture ; Solvent absorption ; Pre-combustion ; Potassium carbonate (K2CO3) ; Process simulation ; Boric acid
• 刊名：International Journal of Greenhouse Gas Control
• 出版年：2012
• 出版时间：September, 2012
• 年：2012
• 卷：10
• 期：Complete
• 页码：64-73
• 全文大小：451 K

文摘

Pre-combustion capture of carbon dioxide (CO₂) from synthesis gas has been demonstrated using a solvent absorption pilot plant. The plant was designed to capture 30-50 kg/h (¡«1 tonne/day) of CO₂ from 300 kg/h of syngas. The solvent used in these trials was a potassium carbonate (K₂CO₃) solution. Potassium carbonate shows promise as a solvent for CO₂ capture because it requires lower energy for regeneration and has a low environmental impact when compared with the traditional amine-based solvents. However, the rate of CO₂ absorption in K₂CO₃ is slow and as such there have been several studies evaluating rate promoters for this process. Boric acid has been identified as one such promoter. The pilot plant in this study was successfully operated on a campaign basis for 16 days using both an un-promoted 30 wt % K₂CO₃ solution as well as a 30 wt % K₂CO₃ solution promoted with 3 wt % boric acid. There was no net improvement in the absorption of CO₂ observed in the presence of boric acid. This result is attributed to the boric acid having reduced the pH and therefore OH^? concentration of the system, which in turn reduced the rate of the controlling kinetic reaction to form potassium bicarbonate (KHCO₃) from CO₂. Changes in the solvent physical properties, due to interaction with syngas impurities, were found to influence the hydrodynamic performance of the packed columns. Bicarbonate precipitation and vessel level control issues also led to operational difficulties. ASPEN Plus? simulations have been developed to predict the performance of the plant. In general the model predicts the performance of the plant well (to within ¡À5 % ) and will be important for future process development, design and optimisation.