کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
643809 884391 2008 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical factorial design analysis for parametric interaction and empirical correlations of CO2 absorption performance in MEA and blended MEA/MDEA processes
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تصفیه و جداسازی
پیش نمایش صفحه اول مقاله
Statistical factorial design analysis for parametric interaction and empirical correlations of CO2 absorption performance in MEA and blended MEA/MDEA processes
چکیده انگلیسی

A principle of statistical factorial design was applied to characterize behaviour of mass-transfer performance in the carbon dioxide (CO2) absorption process using monoethanolamine (MEA) and blended MEA/methyldiethanolamine (MDEA) solutions. Over a hundred experiments were carried out using a bench-scale absorber packed with structured packing. The absorption performance was analyzed in terms of overall mass-transfer coefficient (KGae). The results show that CO2 loading of the solution is the most influential process parameter on KGae, followed by alkanolamine concentration, CO2 partial pressure in feed gas, temperature, and liquid circulating rate, respectively. The temperature interacts with all tested process parameters. A mixing ratio between MEA and MDEA in the blended solution significantly affects KGae. Second-order correlations for the prediction of KGae were developed for both MEA and MEA/MDEA systems. A relative packing factor was derived as a function of packing surface area and eventually integrated into the developed mass-transfer correlations for the purpose of scale-up.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Separation and Purification Technology - Volume 64, Issue 1, 20 November 2008, Pages 16–25
نویسندگان
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