Faculty
Year of Publication
upload
Publication Type
Abstract
One of the most challenging problems associated with the use of solar energy in low-income households is the high initial cost of installation the bulk of which is the cost of the battery energy storage system. The project was implemented using the ATMEGA 382P microcontroller due to its superior code efficiency, enabling throughputs up to ten times faster than conventional microcontrollers. The prototype, designed and simulated on Proteus, incorporated three loads connected within
the system. Power was supplied by a DC Buck converter module, ensuring stable and efficient energy provision. This combination of advanced microcontroller technology, multiple load integration, and an efficient power source lays the groundwork for a robust and highperforming system. Thorough incorporation of a rule-based algorithm using time of day and battery capacity as
criteria in addition to proper classification of loads, the proposed system reduced the domestic energy usage and improved system availability. To verify the efficiency and robustness of the proposed algorithm, a test lab was set up, and the obtained results were compared in terms of total energy consumption, cost, the improved battery storage duration
the system. Power was supplied by a DC Buck converter module, ensuring stable and efficient energy provision. This combination of advanced microcontroller technology, multiple load integration, and an efficient power source lays the groundwork for a robust and highperforming system. Thorough incorporation of a rule-based algorithm using time of day and battery capacity as
criteria in addition to proper classification of loads, the proposed system reduced the domestic energy usage and improved system availability. To verify the efficiency and robustness of the proposed algorithm, a test lab was set up, and the obtained results were compared in terms of total energy consumption, cost, the improved battery storage duration
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co-supervisor