Prediction of acid gas solubility in amine, ionic liquid and amino acid salt solutions using artificial neural network and evaluating with new experimental measurements-Reference-Cited by-同舟云学术

Prediction of acid gas solubility in amine, ionic liquid and amino acid salt solutions using artificial neural network and evaluating with new experimental measurements

Published:2016-02 Issue: Volume:29 Page:252-263
ISSN:1875-5100
Container-title:Journal of Natural Gas Science and Engineering
language:en
Short-container-title:Journal of Natural Gas Science and Engineering

Author:

Hamzehie Mohammad Ehsan,Najibi Hesam

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference80 articles.

1. Solubility of Carbon Dioxide and Methane in Aqueous Methyldiethanolamine Solutions

2. Solubility of CO2 in 15, 30, 45 and 60 mass% MEA from 40 to 120°C and model representation using the extended UNIQUAC framework

3. Model of vapor-liquid equilibria for aqueous acid gas-alkanolamine systems. 2. Representation of hydrogen sulfide and carbon dioxide solubility in aqueous MDEA and carbon dioxide solubility in aqueous mixtures of MDEA with MEA or DEA

4. Solubility of Carbon Dioxide in Aqueous Solutions of 2-Amino-2-methyl-1,3-propanediol

5. Prediction of CO2 loading capacity of chemical absorbents using a multi-layer perceptron neural network

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