Wang Yi, Guo Lianghui, Wang Bohong, Klemeš Jiří Jaromír
National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering /Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing; Beijing, 102249, China.
National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering /Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing; Beijing, 102249, China.
J Environ Manage. 2022 Jun 1;311:114779. doi: 10.1016/j.jenvman.2022.114779. Epub 2022 Mar 1.
Chemical absorption method plays an important role in the process of CO separation. One major problem for chemical absorption is huge energy consumption, which is affected by the performance of absorbents. Developing a type of absorbent with high absorption capacity and low regenerative energy consumption is a research topic that attracts attention. The combination of two or more amines is one way to develop new solvents. However, the change of amine liquid ratio can cause a series of complex nonlinear changes in absorption capacity, absorption heat, the heat of vaporisation and sensible heat. It is of interest to visualise the amine solution mixing ratio optimisation to help reduce the energy consumption and increase the absorption capacity. Derivative analysis of standardised vs variables diagram (DSVD), a kind of graphical method based on maximum benefit and minimum consumption, is proposed to determine the optimal mixing ratio of binary amine solution. This novel approach helps to visualise what kind of amines are not suitable for compounding, what kind of amines have the best compounding ratio, and how to determine the optimal compounding ratio. The optimal mixing ratio of the Methyldiethanolamine (MDEA) - Piperazine (PZ) system and MDEA - Monoethanolamine (MEA) were optimised by this method. The optimal ratio of MDEA - PZ and MDEA - MEA are 0.6 (PZ: MDEA = 0.6:0.4, wt.%) and 0.8 (MEA: MDEA = 0.8:0.2, wt.%).
化学吸收法在CO分离过程中起着重要作用。化学吸收的一个主要问题是能耗巨大,这受到吸收剂性能的影响。开发一种具有高吸收容量和低再生能耗的吸收剂是一个备受关注的研究课题。两种或多种胺的组合是开发新溶剂的一种方法。然而,胺液比例的变化会导致吸收容量、吸收热、汽化热和显热等一系列复杂的非线性变化。可视化胺溶液混合比例的优化以帮助降低能耗并提高吸收容量是很有意义的。提出了基于最大效益和最小消耗的标准化与变量图导数分析(DSVD),以确定二元胺溶液的最佳混合比例。这种新方法有助于直观地了解哪种胺不适合复合,哪种胺具有最佳的复合比例,以及如何确定最佳复合比例。通过该方法优化了甲基二乙醇胺(MDEA)-哌嗪(PZ)体系和MDEA-单乙醇胺(MEA)的最佳混合比例。MDEA-PZ和MDEA-MEA的最佳比例分别为0.6(PZ:MDEA = 0.6:0.4,重量%)和0.8(MEA:MDEA = 0.8:0.2,重量%)。