ورقة بحثية
Enhancing Oman Renewable Energy Sources Using Smart Robot For PV Panel Cleaning

Bensujin.


 

Enhancing Oman Renewable Energy Sources Using Smart Robot For PV Panel Cleaning

Bensujin.

Globally it can be understood a fast change in technology and everything modified quite faster with billions of inventions and especially in the field of Electrical & Electronics. In this paper we focus on fast changing renewable energy sources through automation. A new technique is proposed based on signaling pathway unmanned vehicles (UV) to clean the PV panels (solar) when a dust is formed. The proposed paper details about the different operating modes of the robot used for cleaning. The two different operating modes are manual mode and auto mode. In the manual mode the entire PV panel will be cleansed by the robot through the defined path. The auto mode is the calculative mode where the amount of dust is calculated. To read the dust value the robot is encompassed with dust sensors which detect the amount of dust and provide the input to the system. If the dust sensor value is higher than the threshold value set then the robot will move to that exact location by following the shortest path and clean the PV panel. The robot is moved to the dust formed location through shortest path which is identified by the aid of Dijkstra’s shortest path algorithm. During the mid-day while the intensity of sunlight is high the robot moves automatically on the panels and sprinkle water on the panels to avoid the voltage drop. Also the voltage output of the panel is calculated and compared. When there is a dip in voltage and the sunlight intensity is normal then the robot starts cleaning the panel.

Globally it can be understood a fast change in technology and everything modified quite faster with billions of inventions and especially in the field of Electrical & Electronics. In this paper we focus on fast changing renewable energy sources through automation. A new technique is proposed base...

مادة فرعية

المؤلف : Bensujin.

مؤلف مشارك : Bensujitha
Sumaiya Al Jamoudi
Mazoun Al Nabhani
Marwa Al Amri

بيانات النشر : Muscat، Sultanate of Oman : Waljat College of Applied Sciences، ديسمبر 2017مـ.

التصنيف الموضوعي : العلوم التطبيقية|الهندسة .

المواضيع : Renewable Energy - Automation - Sultanate of Oman.

رقم الطبعة : 1

المصدر : Waljat College of Applied Sciences : Muscat، Sultanate of Oman.

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