Journal article
Prediction of phase equilibrium of CO2/cyclic compound binary mixtures using a rigorous modeling approach
The Journal of Supercritical Fluids, Vol.90, pp.110-125
2014
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Abstract
<p><p id="x-x-x-x-spar0015">Vapor liquid equilibrium (VLE) data has significant role in designing processes which include vapor and liquid in equilibrium. Since it is impractical to measure equilibrium data at any desired temperature and pressure, particularly near critical region, thermodynamic models based on equation of state (EOS) are usually used for VLE estimating. In recent years due to the development of numerical tools like artificial intelligence methods, VLE prediction has been find new alternatives. <p id="x-x-x-x-spar0020">In the present study a novel method called Least-Squares Support Vector Machine (LSSVM) used for predicting bubble/dew point pressures of binary mixtures containing carbon dioxide (CO<sub>2</sub>) + cyclic compounds as function of reduced temperature of the system, critical pressure, acentric factor of the cyclic compound, and CO<sub>2</sub> composition. A 333 binary equilibrium data points of CO<sub>2</sub> and six cyclic compounds within temperature and pressure ranges of 308.15–473.15 K and 0.5–27.71 MPa were used to develop the model. Results show that the proposed model is able to predict VLE data for binary systems containing supercritical or near-critical CO<sub>2</sub>/cyclic compounds with an acceptable average absolute relative deviation percent (AARD%) of 3.9381% and the coefficient of determination (<em>R</em><sup>2</sup>) value of 0.9980. For detection of the probable doubtful experimental data, and applicability of the model, the Leverage statistical approach performed on the data sets. This algorithm showed that the proposed LSSVM model is statistically valid for VLE prediction and the whole phase equilibrium data points are in applicability domain of the model.</p>
Details
- Title
- Prediction of phase equilibrium of CO2/cyclic compound binary mixtures using a rigorous modeling approach
- Creators
- Mohammad Mesbah - Sharif University of TechnologyEbrahim Soroush - Sahand University of TechnologyAmin Shokrollahi - Sharif University of TechnologyAlireza Bahadori - Southern Cross University
- Publication Details
- The Journal of Supercritical Fluids, Vol.90, pp.110-125
- Identifiers
- 3475; 991012821683302368
- Academic Unit
- School of Environment, Science and Engineering; Faculty of Science and Engineering
- Resource Type
- Journal article