D. Notosudjono, H. Samaulah, Muhamad Nopriansy, Bagus Dwi Ramadhon, D. Fiddiansyah, Asri
{"title":"Solar Power Plant Tracker Upgrade and MPPT Control with Internet of Things","authors":"D. Notosudjono, H. Samaulah, Muhamad Nopriansy, Bagus Dwi Ramadhon, D. Fiddiansyah, Asri","doi":"10.5220/0009881602190223","DOIUrl":null,"url":null,"abstract":": To maximize sunlight absorption by forming a perpendicular axis between the sun and the solar panel. A method which could be implemented on the solar panel system that could follow the sun’s movement is needed. On this design, the system uses a light diode sensor (LDR) that functions as the light detector, an Atmega238P-PU microcontroller as the command logic storage, and a servo motor as a mover to dislocate the position of the solar panel with Internet of Things (IoT). In the solar panel test which runs for 11 hours using the dual-axis solar panel tracker has yield a power of 9.4 W and after passing the MPPT control battery, it gives an average of 10.6 W. Compared to using a static solar panel method, it only yields a power of 6.8 Watt, and after passing the MPPT control battery, it gives an average power of 9.25 W.w","PeriodicalId":135180,"journal":{"name":"Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0009881602190223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: To maximize sunlight absorption by forming a perpendicular axis between the sun and the solar panel. A method which could be implemented on the solar panel system that could follow the sun’s movement is needed. On this design, the system uses a light diode sensor (LDR) that functions as the light detector, an Atmega238P-PU microcontroller as the command logic storage, and a servo motor as a mover to dislocate the position of the solar panel with Internet of Things (IoT). In the solar panel test which runs for 11 hours using the dual-axis solar panel tracker has yield a power of 9.4 W and after passing the MPPT control battery, it gives an average of 10.6 W. Compared to using a static solar panel method, it only yields a power of 6.8 Watt, and after passing the MPPT control battery, it gives an average power of 9.25 W.w