| dc.description.abstract | Water demand and energy usage are inextricably related in water supply systems, because
using, distributing, and extracting water requires a lot of energy. Any improvement in the
scheme’s energy conservation, particularly pumping conservation, results in a significant
reduction in total operating costs. This necessitates the development of methods for analyzing
and optimizing systems that consume electrical energy, which are typically more complicated
than traditional water systems. Previous techniques had a narrow scope and could not be
applied to all sorts of water supply plan designs and systems. This study explored the viability
of adopting an intelligent hybrid power transfer switch system to mitigate high energy
consumption, and so forth, in order to improve the operation of the Ngaramtoni Water Supply
Scheme, located in Arusha Tanzania. This system detects, transmits, and receives water level
data through an algorithm that is intelligently programmed to switch to the necessary power
source (solar or grid), and it also has additional features like an automatic transfer switch in the
event of a power cut or signal failure and, user safety mode among others. Wi-Fi is used for
output parameters monitoring, while LoRa is used for communication. The power source input
into the pump controller is controlled by the system. The data obtained during the experiment
demonstrates the system's effectiveness and capabilities in terms of switching mechanisms,
water level detection and transmission, data retrieval from the ESP32-WROOM-32
microcontrollers via Wi-Fi and a communication module PZEM-04T-V3.0, and visualization
using the Blynk app and a Liquid Crystal display. | en_US |
