Control of Water Supply Systems and Energy Efficiency Analysis Using Artificial Intelligence.

Abstract

This study presents an innovative approach to optimizing the operation of a water supply plant, combining virtual model and advanced control, specifically a fuzzy controller, to precisely adjust the hydraulic pressure control loop by manipulating the rotation speed of a centrifugal pump. The proposed methodology was evaluated quantitatively, revealing promising results: the plant model showed a mean absolute percentage error (MAPE) of 0.76\%, while the fuzzy controller, both in the virtual model and in the real plant, achieved acceptable rise and settling times, with low values of overshoot and error in steady state. In addition, the implementation of the controller resulted in an average reduction of 15.51\% in energy consumption compared to operation without pressure control. The integration of the virtual model allowed for real-time simulations and rapid iteration in the tuning of the controller, demonstrating its potential for efficient and accurate optimization of the water supply system.