دراسة إمكانية المزارع الذكية القائمة على أنظمة الطاقة الشمسية باستخدام تقنية (إنترنت الأشياء) في ليبيا
محتوى المقالة الرئيسي
الملخص
دراسة إمكانية استخدام مزرعة ذكية التي تعتمد على الطاقة الشمسية كمصدر أول للكهرباء في ليبيا، كحل اقتصادي، سنقوم بدراسة المناخ الشهري في ليبيا لمتوسط درجة الحرارة وكمية الطاقة الكهربائية المطلوبة وكفاءة الاستخدام؛ لتصميم نظام شمسي بقدرة مناسبة لتغطية كافة احتياجات المزرعة. وسنعتمد على تقنية (إنترنت الأشياء) في هذه المزرعة حتى نتمكن من التحكم فيها عن بُعد. وسنقوم بمراقبة رطوبة التربة باستخدام مستشعر رطوبة التربة، ومراقبة مستوى المياه في الخزان باستخدام مستشعر مستوى المياه (مفتاح تعويم) وتشغيل مضخة المياه عندما تنخفض رطوبة التربة عن مستوى محدد إذا كان الخزان يحتوي على كمية كافية من المياه وعرض حالة التربة والخزان باستخدام شاشة LCD مقاس 16 × 12.
تفاصيل المقالة
هذا العمل مرخص بموجب Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
المراجع
References
https://www.tiscontrol.com/ar/solution_smart_farm.html.
Kyuhyeon Joo, Junghoon (Jay) Lee, and Jinsoo Hwang.” NAM and TPB Approach to Consumers’ Decision-Makin Framework in the Context of Indoor Smart Farm Restaurants”. Int. J. Environ. Res. Public Health 2022, 19, 14604. doi.org/10.3390/ijerph192114604.
Y. F. Nassar, S. Y. Alsadi, G. M. Miskeen, H. J. Khozondar and N. M. Abuhamoud, "Mapping of PV Solar Module Technologies Across Libyan Territory," 2022 Iraqi International Conference on Communication and Information Technologies (IICCIT), Basrah, Iraq, 2022, pp. 227-232, doi: 10.1109 / IICCIT55816.2022.10010476.
I Imbayah, AA Ahmed, A Alsharif, MM Khaleel, “A Review of the Possibility Integrating the Solar System into the Libyan Railway Transportation” African Journal of Advanced Pure and Applied Sciences (AJAPAS). 2023, pp. 171-180.
https://climateknowledgeportal.worldbank.org/country/libya.
https://www.albayan.ae/across-the-uae/our.
http://ecco.com.ly/index.php/ar/ gallery-3/201 -08-06-21-08-44J.
https://www.libyaherald.com/2022/11/a-railway-system-is-fundamenta l-to-diversifying - libyas-economy-post-oil.
https://attaqa.net/2022/06/16/أول-مشروع-للطاقة-الشمسية-في-ليبيا-تنفذ
Abubaker A. Salem, Yasser F.Nassar and Saib A.Yousif, "The Choice of Solar Energy in the Field of Electrical Generation - Photovoltaic or Solar Thermal - For Arabic Region," World Renewable Energy Congress VIII (WREC 2004), 2004, pp. 1-6, https://www.researchgate.net/publication/266423041.
Yasser Fathi Nassar, Abubaker Awidat Salem, "The reliability of the photovoltaic Utilization in southern cities of Libya," Desalination Elsevier (30 April 2007), 2007, pp. 86–90, doi:10.1016/j.desal.2007.04.013.
Hilmy Awad, Yasser Fathi Nassar, Ahmed Hafez, Mohamed K. Sherbiny, Alaa. F.M Ali, Optimal design and economic feasibility of rooftop photovoltaic energy system for Assuit University, Egypt,” Ain Shams Engineering Journal, 2022, https://doi.org/10.1016/j.asej.2021.09.026.
Hilmy Awad, Yasser Fathi Nassar, Ahmed Hafez, Mohamed K. Sherbiny, Alaa. F.M AliAndreas Holzinger and Anna Saranti and Alessa Angerschmid, "Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions". Sensors 2022, 22, 3043. https://doi.org/10.3390/s22083043.
Y. Nassar, H. El-Khozondar, A. Ahmed, I. Imbayah, A. Alsharif, M. Khaleel, Assessing the Viability of Solar and Wind Energy Technologies in Semi-Arid and Arid Regions: A Case Study of Libya's Climatic Conditions, Applied Solar Energy, vol. 60, no.1, 149-170, 2024.
Filipe Pereira, Nídia S. Caetanoa,b,c, Carlos Felgueiras, “Increasing energy efficiency with a smart farm—An economic Evaluation.” www.elsevier.com/locate/egyr, 8th International Conference on Energy and Environment Research, ICEER, 2021.
O. Bazaluk, V. Havrysh, S. Lavrenko, “Low-Cost Smart Farm Irrigation Systems in Kherson Province: Feasibility Study.” Agricultural and Food Sciences, Engineering, Environmental Science, Published 2022.
Gabriela Cáceres, Pablo Millán, Mario Pereira and David Lozano, “Smart Farm Irrigation: Model Predictive Control for Economic Optimal Irrigation in Agriculture.” Agronomy 2021, doi.org/10.3390/11, 1810.
Xiaochan Lin, Xu Sun, Gunasekaran Manogaran, Bharat S. Rawal, “Advanced energy consumption system for smart farm based on reactive energy utilization technologies.” Environmental Impact Assessment Review, January 2021, doi.org/10.1016/ j.eiar. 2020. 106496.
Elwin A. Ross, Leland A. Hardy 'Crops', NJ652.03, Part 652, Washington, DC: Natural Resources Conservation Service, United States: Department of Agriculture. (2005) [Online]. Available at: https://www.nrcs.usda.gov. https://directives.sc.egov.usda.gov/default.aspx?l=177
White, E., & Verhoeven, R. An alternative solution to the water shortage problem in Libya. Water Resources Management, (2006). 21(6), 961–982.
Ahmad, S., & Ajaz, A. DESIGN AND OPERATIONS MANUAL PRESSURIZED IRRIGATION SYSTEMS VOLUME I.
Cengel, Y. A., & Cimbala, J. M. Fluid mechanics: fundamentals and applications (4thed). Columbus, OH: McGraw-Hill Education. (2017).
Hwanga, J. H., San Kimb, H., Azamb, M., & Maengb, S. J. Optimal size estimation of water storage tank for upland crops. DESALINATION AND WATER TREATMENT, (2020). Pp. 310-322.
The RETScreen® Clean Energy Management Software, https://www.nrcan.gc.ca/maps-tools-and-publications/ tools/modeling-tools/retscreen/7465.
World Food Programme - Regional Bureau for the Middle East, ODC Food and Agriculture Organization – Regional Near East Bureau, TCES Emergency Unit April 2011.
Alkhurmani, Y. A. M., Alias, M. H., & Daud, S. N. B. M. REVIEW OF LIBYA’S ECONOMY, FOREIGN TRADE AND its AGRICULTURAL SECTOR.
Rodriguez, D., De Voil, P., Hudson, D., Brown, J. N., Hayman, P., Marrou, H., & Meinke, H. Predicting optimum crop designs using crop models and seasonal climate forecasts. Scientific Reports, (2018). pp. 1-13.
Martin-Candilejo, A., Santillan, D., Iglesias, A., & Garrote, L. Optimization of the design of water distribution systems for variable pumping flow rates. Water, (2020). 12(2), 359.
Hong, T.; Lee, M.; Koo, C.; Jeong, K.; Kim, J. Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis. Appl. Energy 2017, 194, pp.320–332.