Browsing by Author "Abdul-Azeez Dauda"

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    Development of smart electricity distribution algorithm for multi-source and segmented loads in buildings
    (Proceedings of the 5th European International Conference on Industrial Engineering and Operations Management Rome, Italy,, 2022-07-28) Abdul-Azeez Dauda; Oyewobi S. Stephen; Supreme A. Okoh; Umar S. Dauda
    Nigeria has encountered numerous power issues in recent years, including limited and irregular power supply, high power costs, and underdeveloped power facilities, all of which have had major negative consequences on the country's socio-economic development. To improve power availability in buildings and ensure adequate usage efficiency, this paper presents the development of a smart electric power distribution algorithm for multi-source and segmented loads, for implementation on distribution boards. This research aims to develop an algorithm that may be used to support the current building wire infrastructure in Nigeria, allowing for 24/7 reliable power supply and effective management of limited power supply in buildings. It employs a multi-source and segmented load system to provide reliability and energy efficiency measures to balance power supply and demand in buildings. Actual data from offices in the engineering complex of Niger State Polytechnic Zungeru, Nigeria, was used to simulate the developed system in MATLAB Simulink. Results showed that the developed algorithm conserved power by 33.71% compared to the conventional distribution board.
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    Fuzzy Logic-Based Electrical Energy Management of Building
    (international engineering conference (IEC 2023), 2023) Abdul-Azeez Dauda; Oyewobi S. Stephen; Farouq E Shaibu Umar S. Dauda
    The modern trend in electrical energy distribution is the soft island system. Manual and conventional procedures struggle when dealing with multiple sources, loads, and constraints because they need intelligence to perform at their best. This work, therefore, proposes an intelligent fuzzy logic-based controller for building energy management system that controls solar panel and inverter, grid, battery and inverter, and generator in a way that prioritizes the use of the cleanest and most affordable source. To simulate the developed system in MATLAB Simulink, real data from offices in the engineering complex of Niger State Polytechnic Zungeru, Nigeria, was used. Results showed that when compared to the conventional distribution board, the developed algorithm conserved power by 33.71%.