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Evaluation of Standalone Solar Photovoltaic Power System with Load Scheduling for Automated Teller Machine Gallery

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The Second International Adaptive and Sustainable Science, Engineering and Technology Conference (ASSET 2023)

Abstract

In this paper, PVsyst simulation-based evaluation of standalone solar photovoltaic (SSPV) power system with load scheduling for automated teller machine (ATM) gallery is presented. The gallery with 10 units of ATMs is located at latitude of 4.621393 and longitude of 7.763904. The ATM gallery has average daily energy demand of 608.4 kWh without load scheduling and 533.7 kWh when load scheduling is implemented. The study site has mean daily average global irradiation on the horizontal plane of 5.05 kWh/m2/day and mean daily ambient temperature of 26.13 °C. According to the PVsyst simulation results, a worst-case loss of load probability of 0.3% occurred in the month of February with a total of 2-hour loss of load duration. Also, the highest missing energy of 25 kWh occurred in the month of January and December. When the load scheduling is not employed, the annual energy demand is 222,400 kWh with energy supply to the load being 222,192 kWh. However, with load scheduling, the annual energy demand reduced to 195,569 kWh, while the available energy to the user still remains 222,192 kWh. In all, with the adoption of load scheduling, a 24-hour ATM service is guaranteed all through the year. The ideas presented in this study are useful for the design of solar power system for users with dispatchable load.

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Umoren Mfonobong, A., Dan, E.E., Okpura, N. (2024). Evaluation of Standalone Solar Photovoltaic Power System with Load Scheduling for Automated Teller Machine Gallery. In: Ekpo, S.C. (eds) The Second International Adaptive and Sustainable Science, Engineering and Technology Conference. ASSET 2023. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-53935-0_27

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  • DOI: https://doi.org/10.1007/978-3-031-53935-0_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53934-3

  • Online ISBN: 978-3-031-53935-0

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