کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
63519 48222 2016 14 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
Experimental and theoretical study of carbon dioxide solubility in aqueous solution of potassium glycinate blended with piperazine as new absorbents
ترجمه فارسی عنوان
مطالعه تجربی و نظری حلالیت دی اکسید کربن در محلول آبی glycinate پتاسیم مخلوط با پیپرازین به عنوان جاذب جدید
کلمات کلیدی
حلالیت CO2؛ مدل دشموک ماتر تمدیدیافته ؛ شبکه های عصبی مصنوعی؛ محلول نمک آمینو اسید ؛ ببرزن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی کاتالیزور
چکیده انگلیسی


• CO2 solubility in potassium glycinate + piperazine + water is measured.
• Solution of potassium glycinate + piperazine has very high loading capacity.
• Deshmukh-Mather model is extended to predict CO2 loading.
• An artificial neural network is developed to predict CO2 loading.
• Suggested solution has suitable stability toward oxidative degradation.

In this work aqueous solution of potassium glycinate, piperazine and potassium glycinate blended with piperazine have been utilized through CO2 solubility measurements in order to investigate the possible use of these salts of amino acid blended with alkanolamine for CO2 absorption. The equilibrium solubility of CO2 for aqueous solutions of potassium glycinate, piperazine and potassium glycinate blended with piperazine at 1.0, 4.0 and 10.0 wt.% overall mass concentration are experimentally measured with an equilibrium cell at CO2 partial pressure ranging from 5.1 to 2508.7 kPa and temperatures between 293.15 and 323.15 K. Obtained data show that loading capacity decreases with increase in temperature and concentration of potassium glycinate and potassium glycinate blended with piperazine. Obtained CO2 loadings are very high at low concentration of potassium glycinate. In order to predict CO2 solubility in aqueous solutions potassium glycinate, piperazine and potassium glycinate blended with piperazine, Deshmkh-Mather model is extended. The values of MSE, ARD and R2 for the extended Deshmukh-Mather model are 0.0741, 8.9582 and 0.9826, respectively. In addition, an artificial neural network (ANN) is developed to predict CO2 solubility in aqueous solutions of piperazine, potassium glycinate and potassium glycinate blended with piperazine. The values of MSE, ARD and R2 for the optimal trained ANN are 0.0179, 4.1528 and 0.9962, respectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of CO2 Utilization - Volume 16, December 2016, Pages 64–77
نویسندگان
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