Application of MOPSO to the Optimisation of an Off-Grid Photovoltaic System in a Rural Fruit Farm
Summary. Researchers optimized an off-grid solar power system for a 60-acre fruit farm in Egypt using multi-objective algorithms. The study determined the ideal number of solar panels and battery banks to minimize total costs while ensuring reliable power supply. Results show the system's net present cost, cost per kilowatt-hour, and energy surplus levels, enabling profitable renewable energy adoption for agricultural operations.
Cite this article
Samy, M. M., & Barakat, S.. (2022). Application of MOPSO to the Optimisation of an Off-Grid Photovoltaic System in a Rural Fruit Farm. Journal of Engineering Science and Sustainable Industrial Technology. https://doi.org/10.21608/jessit.2023.304319
Samy, Mohamed Mahmoud, and Shimaa Barakat. “Application of MOPSO to the Optimisation of an Off-Grid Photovoltaic System in a Rural Fruit Farm.” Journal of Engineering Science and Sustainable Industrial Technology, 2022. https://doi.org/10.21608/jessit.2023.304319.
Samy, Mohamed Mahmoud, and Shimaa Barakat. 2022. “Application of MOPSO to the Optimisation of an Off-Grid Photovoltaic System in a Rural Fruit Farm.” Journal of Engineering Science and Sustainable Industrial Technology. https://doi.org/10.21608/jessit.2023.304319.
@article{samy-2022-application-mopso-optimisation-off-grid,
title = {Application of MOPSO to the Optimisation of an Off-Grid Photovoltaic System in a Rural Fruit Farm},
author = {Mohamed Mahmoud Samy and Shimaa Barakat},
journal = {Journal of Engineering Science and Sustainable Industrial Technology},
year = {2022},
doi = {10.21608/jessit.2023.304319},
url = {https://doi.org/10.21608/jessit.2023.304319}
}
TY - JOUR TI - Application of MOPSO to the Optimisation of an Off-Grid Photovoltaic System in a Rural Fruit Farm AU - Mohamed Mahmoud Samy AU - Shimaa Barakat JO - Journal of Engineering Science and Sustainable Industrial Technology PY - 2022 DO - 10.21608/jessit.2023.304319 UR - https://doi.org/10.21608/jessit.2023.304319 ER -