Juan A. Reyes-Labarta

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Phase equilibrium data regression is an unavoidable task necessary to obtain the appropriate values for any model to be used in separation equipment design for chemical process simulation and optimization. The accuracy of this process depends on different factors such as the experimental data quality, the selected model and the calculation algorithm. The(More)
The difficulty in achieving a good thermodynamic description of phase equilibria is finding a model that can be extended to a large variety of chemical families and conditions. This problem worsens in the case of systems containing more than two phases or involving complex compounds such as ionic liquids. However, there are interesting applications that(More)
• New NLP model for the SEE/MEE systems design including MVR and thermal integration • SEE/MEE model application to the high-salinity shale gas flowback water treatment. • Optimization by minimizing costs to achieve brine salinity close to ZLD conditions. • Sensitivity analysis to assess the system performance in distinct feed salinities • Results highlight(More)
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