Article ID Journal Published Year Pages File Type
4907256 The Journal of Chemical Thermodynamics 2017 50 Pages PDF
Abstract
In this work, enthalpy of carbon dioxide (CO2) absorption in aqueous hexamethylenediamine (HMDA) and its blend with N-methyldiethanolamine (MDEA) is measured using an automated reaction calorimeter in the temperature range of (30-60) °C. Concentrations of aqueous HMDA solution studied are (10, 20, 30) mass% and that for mixed amine system are (5% HMDA + 25% MDEA), (10% HMDA + 20% MDEA) and (15% HMDA + 15% MDEA). The heat capacity of the unloaded aqueous amine solvents is also measured in the same range of temperature and concentration. The experimental enthalpy of absorption data is presented as a function of CO2 loading (mol CO2 per mol total amine) and temperature. A combined model for the prediction of CO2 absorption enthalpy in aqueous HMDA and (HMDA + MDEA) solvent systems is presented using artificial neural network (ANN) tool. A multi-layer feed-forward network is developed using Levenberg-Marquardt back propagation algorithm. Average absolute deviation between experimental and ANN model predicted data is found to be 0.38%.
Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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