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)
• 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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