THEORETICAL DATA ANALYSIS FOR A SMALL-SCALE REVERSE OSMOSIS DESALINATION PLANT

Reverse Osmosis (RO) has proven to be the most commonly applied technique in desalination technologies owing to its relatively low energy consumption. Ongoing research on improvement of this technology through the analysis of statistical data extracted from experiments and simulation software is being undertaken so as to maximize permeate water while at the same time using minimum energy. Analysis of experimental and theoretical data extracted from experiments and software helps to describe the performance of the RO unit and come up with satisfactory correlation models for the systems. In this article, statistical analysis of different parameters was carried out and several graphs of correlations were plotted against each other. Important RO parameters such as specific energy consumption, temperature, feed pressure and permeate total dissolved salts (TDS) were plotted against each other to come up with their graphical correlations.