Section 3 Phase Equilibrium

References

57(6):459-464

[1] Manchanda H, Kumar M. A comprehensive decade review and analysis on designs and performance parameters of passive solar still. Renewables: Wind, Water and Solar, Springer Open Journal. 2015;(2):1-24. DOI: 10.1186/s40807-015-0019-8

Distillation - Modelling, Simulation and Optimization

[9] Bao NT. SOLSTILL—A simulation program for solar distillation systems. In: Proceedings of EUROSUN 2004; Freiburg, Germany. 2004. pp. 96-105

[10] Duffie JA, Beckman WA. Solar Engineering of Thermal Processes. 4th ed. New York: John Wiley and Sons

[11] ASHRAE Systems and Equipment Handbook. New York: American Society of Heating, Refrigerating and Air-Conditioning Engineers; 2012

[12] AHRI. Forced-Circulation Air-Cooling and Heating Coils. Standard 410. Arlington, VA: Air-Conditioning, Heating and Refrigeration Institute;

Inc.; 2013

2014

[2] Sampathkumar K, Arjunan TV, Pitchandi P, Senthilkumar P. Active solar distillation—A detailed review. Renewable and Sustainable Energy Reviews. 2010;14:1503-1526

[3] Kumar S, Tiwari GN. Estimation of convective mass transfer in solar distillation systems. Solar Energy. 1996;

[4] Dwivedi VK, Tiwari GN. Experimental validation of thermal model of a double slope active solar still

diffusion still. International Developments in Heat Transfer, American Society of Mechanical Engineers, Proceedings of International Heat Transfer, Part V. University of

Colorado. 1961. pp. 895-902

2009;34(7):1668-1677

study of a passive solar still with separate condenser. Renewable Energy.

Desalination. 2013;311:173-181

Solar Energy. 2016;135:897-922

44

under natural circulation mode. Desalination. 2010;250:49-55

[5] Dunkle RV. Solar water distillation: The roof type still and a multiple effect

[6] Madhlopa A, Johnstone C. Numerical

[7] Ahsan A, Imteaz M, Dev R, Arafat HA. Numerical models of solar

distillation device: Present and previous.

[8] Edalatpour M, Aryna K, Kianifar A, Tiwari GN, Mahian O, Wongwises S. Solar stills: A review of the latest developments in numerical simulations.

Chapter 4

Processes

Abstract

A Practical Fitting Method

Adriel Sosa, Luís Fernández, Elena Gómez,

Eugénia A. Macedo and Juan Ortega

processes is analyzed through a simulation.

distillation, simulation

1. Introduction

47

Involving a Trade-Off Decision

in the Parametrization Procedure

of a Thermodynamic Model and

The design of processes containing information on phase equilibria must be carried out through a series of steps, experimentation \$ verification \$ modeling \$ simulation. Each of these steps should be rigorously performed to guarantee a good representation of the behavior of the system under study, whose adequate modeling could be used to simulate the corresponding process. To carry out the different previous tasks, two representative systems, extracted from known database, are used. The quality checking of experimental data series is certified through several thermodynamic consistency methods. The modeling is done by applying a multiobjective optimization procedure, which allows to define a solution front (Pareto front) for different sub-models that are established in this work. The fitness of trade-off solutions, obtained from the efficient front, on the design of distillation

Keywords: multiproperty modeling, optimization procedure, trade-off decision,

Nowadays, process simulation [1] plays an important role in the chemical engineering field as an indispensable tool to gain precise knowledge about the process units. The use of powerful mathematical-computational tools allows to accomplish an optimal final design of chemical processes. An important matter is to ensure that the mathematical model correctly represents the quantities that reflect the state of the studied system. Then, what is a model? A model is a mathematical relationship

that links the state variables of a system, such as temperature, pressure, or

Its Repercussion on Distillation
