Optimization of solar farm using IOT

Computer Engineering

In solar energy, solar panels are the main generation elements. Whereas gained power from the photovoltaic solar panel is a main factor & reflects the panel performance. This affects by many parameters like dust density, light intensity, ambient temperature. To generate energy at full efficiency timely maintenance like cleaning & solving electrical issues is must. Delay in maintenance causes reduction in generation & even damage to the system. Also by knowing the expected amount of generation of energy from solar panels, it is also possible to manage the utilization & consumption of power in better way. In this paper, a current and voltage sensors will be use to measure generating power from solar panel. By detecting generation deficiency, we can found defective panels & improve the generation by completing maintenance on-time. By detecting dust in air tentative day of maintenance will be predicted. With the help of vibration sensors physical damage to the panel mounting will be detected. Also safety measures can be taken related to theft by detecting movement of panel. By measuring amount of sunlight, a generation can be predicted for the day so that energy can be manage in efficient way. With the help of IOT all the parameters & alert will be shown on webpage.

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