화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2017년 봄 (04/26 ~ 04/28, ICC 제주)
권호 23권 1호, p.252
발표분야 공정시스템
제목 FT-IR Quantitative Analysis of Amine Concentration and CO2 Loading Amount in MEA Solutions by Partial Least Square Regression Method
초록 Monoethanolamine(MEA) has been well-known absorbent in CO2 capture process but in terms of long term operation stability, many problems originated form amine degradation have been raised recently. Thus, the development of online monitoring system is being required. Although FT-IR spectroscopy has many advantages for this system, but it isn't prefereed for quantitative analysis becuase of poor resolution. As a significant breakthorugh, this work presents the quantitative analysis of amine concentration and CO2 loading amount in MEA solutions using PLS regression which is for reducing enormous dimension of raw data. Standard solutions for calibration are prepared in the range of MEA 10 to 50wt% with lean to rich CO2 loading. As a result, predicted MEA concentration and CO2 loading amount are found in agreement with actual data shwoing over 0.998, R2. The presented models are expected to play a key role to estimate process condition for control and it also can be extended to amine mixture solvent with in situ condition as a future work.
저자 윤요성, 이재형, 김선형, 가성빈
소속 KAIST
키워드 공정제어
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