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IOT BASED SINGLE AXIS SOLAR TRACKING SYSTEM WITH PANEL CLEANER NOTIFICATION AND DATA LOGGING USING ESP32 AND ANDROID APPLICATION

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dc.contributor.author Saputra, Yogi
dc.date.accessioned 2022-08-11T09:06:44Z
dc.date.available 2022-08-11T09:06:44Z
dc.date.issued 2021
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/8997
dc.description.abstract ABSTRACT Environmentally friendly green energy is very much needed for the potential survival of the Planet. Global warming and loss of the ozone layer allow the temperature of the planet to increase and it is an ideal condition for solar panels as renewable energy. The dynamic solar panel is a type of solar panel fitted with two light-dependent resistor sensors so that the path of sunlight can be followed. This invention is very useful for maximizing the conversion of sunlight into electricity. In this final project, solar tracker has three excellent features. The first is to track real-time data daily displayed in the solar tracker android application and back up files on the Micro SD. Second, a reminder of the cleanliness of solar panels via android. This functionality uses a light-dependent resistor (LDR) sensor, an ambient temperature sensor, and a voltage sensor. Third, detecting ambient temperature around solar panel. The solar panels used are four solar panels with a 5 V and 200 mA capacity in pair. The prototype compared to static solar panels in six days trial. The first day differences between static and dynamic output voltage reach 4.05%, second day 9.62%, third day 9.68%, fourth day 6.56%, fifth day 8.77%, and last day 12.86%. en_US
dc.language.iso en_US en_US
dc.publisher PRESIDENT UNIVERSITY en_US
dc.relation.ispartofseries Electrical Engineering;002201700005
dc.subject Solar Tracker en_US
dc.subject Internet of Things en_US
dc.subject Realtime Monitoring en_US
dc.subject Solar Panel Cleaner Notifier en_US
dc.title IOT BASED SINGLE AXIS SOLAR TRACKING SYSTEM WITH PANEL CLEANER NOTIFICATION AND DATA LOGGING USING ESP32 AND ANDROID APPLICATION en_US
dc.type Thesis en_US


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