A Python-Based Tool for Real-Time Reverse Osmosis Data Normalization in Desalination Applications

Abstract

This work presents the development of a Python-based data normalization tool designed to facilitate RO performance monitoring The tool generates normalized metrics, including salt rejection, pressure difference, and permeate flow rate, providing a clear and consistent baseline for performance evaluation. To validate the tool’s efficacy, a single-stage RO system was modeled using the WAVE Water Treatment Design Software. The RO was simulated under various operating conditions, and the dataset derived from these simulations was processed using the Python tool, demonstrating its utility in generating and visualizing significant normalized results for effective RO performance monitoring.

Keywords

• water treatment
• smart water desalination
• data normalization
• reverse osmosis