Norwegian Institute for Air Research, NILU, P.O. Box 100, 2027 Kjeller, Norway.
Norwegian Institute for Air Research, NILU, P.O. Box 100, 2027 Kjeller, Norway.
Sci Total Environ. 2015 Sep 15;527-528:185-202. doi: 10.1016/j.scitotenv.2015.04.108. Epub 2015 May 14.
Carbon capture and storage (CCS) is a technological solution that can reduce the amount of carbon dioxide (CO2) emissions from the use of fossil fuel in power plants and other industries. A leading method today is amine based post-combustion capture, in which 2-aminoethanol (MEA) is one of the most studied absorption solvents. In this process, amines are released to the atmosphere through evaporation and entrainment from the CO2 absorber column. Modelling is a key instrument for simulating the atmospheric dispersion and chemical transformation of MEA, and for projections of ground-level air concentrations and deposition rates. In this study, the Weather Research and Forecasting model inline coupled with chemistry, WRF-Chem, was applied to quantify the impact of using a comprehensive MEA photo-oxidation sequence compared to using a simplified MEA scheme. Main discrepancies were found for iminoethanol (roughly doubled in the detailed scheme) and 2-nitro aminoethanol, short MEA-nitramine (reduced by factor of two in the detailed scheme). The study indicates that MEA emissions from a full-scale capture plant can modify regional background levels of isocyanic acid. Predicted atmospheric concentrations of isocyanic acid were however below the limit value of 1 ppbv for ambient exposure. The dependence of the formation of hazardous compounds in the OH-initiated oxidation of MEA on ambient level of nitrogen oxides (NOx) was studied in a scenario without NOx emissions from a refinery area in the vicinity of the capture plant. Hourly MEA-nitramine peak concentrations higher than 40 pg m(-3) did only occur when NOx mixing ratios were above 2 ppbv. Therefore, the spatial variability and temporal variability of levels of OH and NOx need to be taken into account in the health risk assessment. The health risk due to direct emissions of nitrosamines and nitramines from full-scale CO2 capture should be investigated in future studies.
碳捕集与封存(CCS)是一种技术解决方案,可减少发电厂和其他行业使用化石燃料所产生的二氧化碳(CO2)排放量。目前主要的方法是基于胺的燃烧后捕集,其中 2-氨基乙醇(MEA)是研究最多的吸收溶剂之一。在这个过程中,胺通过蒸发和从 CO2吸收塔夹带而释放到大气中。建模是模拟 MEA 的大气扩散和化学转化以及预测地面空气浓度和沉积率的关键工具。在这项研究中,天气研究与预报模型(WRF)与化学过程(WRF-Chem)进行了在线耦合,用于量化使用全面的 MEA 光氧化序列与使用简化的 MEA 方案相比的影响。在详细方案中,发现异亚乙基脲(大致增加一倍)和 2-硝基氨基乙醇、短 MEA-亚硝胺(在详细方案中减少两倍)的差异最大。该研究表明,从全规模捕集厂排放的 MEA 可以改变异氰酸的区域背景水平。然而,预测的大气异氰酸浓度低于环境暴露的 1 ppbv 限值。在捕集厂附近炼油区没有 NOx 排放的情况下,研究了在 OH 引发的 MEA 氧化中形成有害化合物对环境中氮氧化物(NOx)水平的依赖性。只有当 NOx 混合比高于 2 ppbv 时,MEA-亚硝胺的峰值浓度才会高于每小时 40 pg m(-3)。因此,在健康风险评估中需要考虑 OH 和 NOx 的空间变异性和时间变异性。未来的研究需要调查由于直接排放全规模 CO2 捕集的亚硝胺和亚硝胺而产生的健康风险。