Published October 2017 | Version v1
Journal article

Measurement of CO2 absorption enthalpy and heat capacity of aqueous hexamethylenediamine and its aqueous mixture with N-methyldiethanolamine

  • 1. Chemical Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur 721302 (India)
  • 2. Cryogenic Engineering Centre, Indian Institute of Technology Kharagpur, Kharagpur 721302 (India)

Description

Highlights: • Measurement of CO2 absorption enthalpy in aqueous HMDA and (HMDA + MDEA) solvents. • Measurement of heat capacity of aqueous HMDA and (HMDA + MDEA) solvents. • ANN model to predict CO2 absorption enthalpy in aqueous HMDA and (HMDA + MDEA) solvents. - 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%.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jct.2017.06.019

Additional details

Identifiers

DOI
10.1016/j.jct.2017.06.019;
PII
S0021-9614(17)30224-0;

Publishing Information

Journal Title
Journal of Chemical Thermodynamics
Journal Volume
113
Journal Page Range
p. 276-290
ISSN
0021-9614
CODEN
JCTDAF

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.