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Sadratdin, A., Sabah, A.A., Zaidi, M., Raed, K., Jamal, K.A., Al-Mansor, H.O., Khattab, F.. (1401). A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building. سامانه مدیریت نشریات علمی, 11(Special Issue), -. doi: 10.22098/joape.2023.13225.2001
A. Sadratdin; A.A. Sabah; M. Zaidi; K. Raed; K.A. Jamal; H.O. Al-Mansor; F. Khattab. "A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building". سامانه مدیریت نشریات علمی, 11, Special Issue, 1401, -. doi: 10.22098/joape.2023.13225.2001
Sadratdin, A., Sabah, A.A., Zaidi, M., Raed, K., Jamal, K.A., Al-Mansor, H.O., Khattab, F.. (1401). 'A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building', سامانه مدیریت نشریات علمی, 11(Special Issue), pp. -. doi: 10.22098/joape.2023.13225.2001
Sadratdin, A., Sabah, A.A., Zaidi, M., Raed, K., Jamal, K.A., Al-Mansor, H.O., Khattab, F.. A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building. سامانه مدیریت نشریات علمی, 1401; 11(Special Issue): -. doi: 10.22098/joape.2023.13225.2001

A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building

Journal of Operation and Automation in Power Engineering
دوره 11، Special Issue، خرداد 2023    اصل مقاله (547.74 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.13225.2001
نویسندگان
A. Sadratdin1؛ A.A. Sabah* 2؛ M. Zaidi3؛ K. Raed4؛ K.A. Jamal5؛ H.O. Al-Mansor6؛ F. Khattab7
1Associate Professor of the Department of “Automation and Robotics”, JSC Almaty Technological University, Republic of Kazakhstan.
2Ahl Al Bayt University / Kerbala / Iraq
3Al-Manara College For Medical Sciences (maysan), Iraq.
4Medical technical college, Al-Farahidi University, Baghdad , Iraq
5AL-Nisour University College, Baghdad, Iraq
6Department of Optical Techniques, Al-Zahrawi University College, Karbala, Iraq
7Kazan state power engineering university, Kazan, Russia
چکیده
Over the last few decades, the majority of industrialized and developed countries have placed a strong emphasis on reducing the amount of wasted energy. In this study, electrical energy consumption is optimized by monitoring power consumption caused by residents' activities at various times of the day and storing this data in a database. An optimization algorithm was used in this study to smarten up the management of energy consumption in the building based on inhabitants' activities. The Genetic Algorithm (GA) was used to optimize the energy consumption in a smart building compared to a traditional building. Furthermore, the algorithm will enable the creation of a smart building that requires no human intervention by presenting a model based on the energy efficiency management system for the automatic operation of household equipment based on the presence of the resident scenario. The main benefit of implementing smart grid technology in the studied building was the ability to manage and monitor the energy supply and demand process. The results showed that the proposed management system in the smart building consumes less energy and power than conventional buildings. The smart building reduces energy consumption for outlets, lighting, cooling, and heating by 38%, 28%, 34%, and 33%, respectively.
کلیدواژه‌ها
Energy Managment؛ Smart Building؛ Energy consumption؛ Optimization
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تعداد مشاهده مقاله: 343
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