Department of Chemistry, University of Oslo , P.O. Box 1033 Blindern, 0315, Oslo, Norway.
Environ Sci Technol. 2013 Dec 17;47(24):14306-14. doi: 10.1021/es4035045. Epub 2013 Nov 23.
We demonstrate the capabilities and properties of using Proton Transfer Reaction time-of-flight mass spectrometry (PTR-ToF-MS) to real-time monitor gaseous emissions from industrial scale amine-based carbon capture processes. The benchmark monoethanolamine (MEA) was used as an example of amines needing to be monitored from carbon capture facilities, and to describe how the measurements may be influenced by potentially interfering species in CO2 absorber stack discharges. On the basis of known or expected emission compositions, we investigated the PTR-ToF-MS MEA response as a function of sample flow humidity, ammonia, and CO2 abundances, and show that all can exhibit interferences, thus making accurate amine measurements difficult. This warrants a proper sample pretreatment, and we show an example using a dilution with bottled zero air of 1:20 to 1:10 to monitor stack gas concentrations at the CO2 Technology Center Mongstad (TCM), Norway. Observed emissions included many expected chemical species, dominantly ammonia and acetaldehyde, but also two new species previously not reported but emitted in significant quantities. With respect to concerns regarding amine emissions, we show that accurate amine quantifications in the presence of water vapor, ammonia, and CO2 become feasible after proper sample dilution, thus making PTR-ToF-MS a viable technique to monitor future carbon capture facility emissions, without conventional laborious sample pretreatment.
我们展示了使用质子转移反应飞行时间质谱(PTR-ToF-MS)实时监测工业规模胺基碳捕集过程中气态排放物的能力和特性。以单乙醇胺(MEA)为例,说明了需要从碳捕集设施中监测的胺类,以及描述了测量可能受到 CO2 吸收塔排放物中潜在干扰物质的影响。基于已知或预期的排放成分,我们研究了 PTR-ToF-MS MEA 响应作为样品流动湿度、氨和 CO2 丰度的函数,结果表明所有这些都可能存在干扰,因此难以进行准确的胺测量。这需要进行适当的样品预处理,我们展示了一个使用瓶装零空气稀释 1:20 到 1:10 的示例,以监测挪威蒙斯塔德 CO2 技术中心(TCM)的烟囱气体浓度。观察到的排放物包括许多预期的化学物质,主要是氨和乙醛,但也有两种以前没有报告但排放量很大的新物质。关于胺排放的问题,我们表明,在适当的样品稀释后,在水蒸气、氨和 CO2 存在下进行准确的胺定量分析成为可能,因此 PTR-ToF-MS 成为监测未来碳捕集设施排放物的可行技术,无需传统的繁琐样品预处理。