Pemantauan Potensi Energi Yang Dihasilkan Sel Surya Polycrystalline Silicon Untuk Pengisian Baterai Lead Acid Di Lingkungan Universitas Telkom
Abstract
Abstrak
Pada penelitian kali ini telah dilakukan pemantauan pengaruh besar radiasi matahari yang diterima
sel surya untuk mengisi baterai lead acid. Dengan menggunakan mikrokontroler Arduino Mega maka
dapat diketahui besar energi yang dihasilkan oleh sel surya dan nilai radiasi matahari. Terdapat 2 metode
penyimpanan data yaitu menggunakan SD Card dan platform IoT. Dalam proses pengukuran selama 5 hari
didapat nilai efisiensi sel surya Polycrystalline Silicon 20Wp dan 10Wp dengan nilai masing-masing 7,298%
dan 8,843%. Pengaruh nilai radiasi matahari yang diterima sel surya pun mempengaruhi lama waktu
pengisian baterai. Saat kondisi langit cerah, rata-rata energi harian yang dihasilkan oleh sel surya 20Wp
dan 10Wp masing-masing adalah 112,245 VAh dan 67,85 VAh, serta mampu mengisi baterai lead acid 86,4
VA masing-masing selama 9¼ jam dan 12½ jam. Namun pada kondisi langit berawan, sel surya hanya
menghasilkan energi harian sebesar 47,62 VAh dan 32,33 VAh, serta mengisi baterai lead acid 86,4 VA lebih
lama yaitu 19 jam atau ± 1 hari 7 jam dan 20½ jam atau ± 1 hari 8½ jam.
Kata kunci: Mikrokontroler, baterai Lead Acid, IoT.
Abstract
In this research, monitoring of the influence of solar radiation received by solar cells has been carried
out to charge the lead acid battery. By using the Arduino Mega microcontroller, it can be seen the amount of
energy produced by solar cells and the value of solar radiation. There are 2 data storage methods, namely using
an SD card and an IoT platform. In the measurement process for 5 days, the efficiency values of the 20Wp and
10Wp Polycrystalline Silicon solar cells were obtained with a value of respectively 7.298% and 8.843%. The
effect of the value of solar radiation received by solar cells also affects the length of time to charge the battery.
When the sky is clear, the average daily energy produced by the 20Wp and 10Wp solar cells is 112.245 VAh and
67.85 VAh, respectively, and is able to charge 86.4 VA lead acid batteries for 9¼ hours and 12½ hours
respectively. However, in cloudy skies, solar cells only produce daily energy of 47.62 VAh and 32.33 VAh, and
charge 86.4 VA lead acid batteries for longer, namely 19 hours or ± 1 day 7 hours and 20½ hours or ± 1 days
8½ hours.
Keywords: Microcontroller, Lead Acid battery, IoT
Pada penelitian kali ini telah dilakukan pemantauan pengaruh besar radiasi matahari yang diterima
sel surya untuk mengisi baterai lead acid. Dengan menggunakan mikrokontroler Arduino Mega maka
dapat diketahui besar energi yang dihasilkan oleh sel surya dan nilai radiasi matahari. Terdapat 2 metode
penyimpanan data yaitu menggunakan SD Card dan platform IoT. Dalam proses pengukuran selama 5 hari
didapat nilai efisiensi sel surya Polycrystalline Silicon 20Wp dan 10Wp dengan nilai masing-masing 7,298%
dan 8,843%. Pengaruh nilai radiasi matahari yang diterima sel surya pun mempengaruhi lama waktu
pengisian baterai. Saat kondisi langit cerah, rata-rata energi harian yang dihasilkan oleh sel surya 20Wp
dan 10Wp masing-masing adalah 112,245 VAh dan 67,85 VAh, serta mampu mengisi baterai lead acid 86,4
VA masing-masing selama 9¼ jam dan 12½ jam. Namun pada kondisi langit berawan, sel surya hanya
menghasilkan energi harian sebesar 47,62 VAh dan 32,33 VAh, serta mengisi baterai lead acid 86,4 VA lebih
lama yaitu 19 jam atau ± 1 hari 7 jam dan 20½ jam atau ± 1 hari 8½ jam.
Kata kunci: Mikrokontroler, baterai Lead Acid, IoT.
Abstract
In this research, monitoring of the influence of solar radiation received by solar cells has been carried
out to charge the lead acid battery. By using the Arduino Mega microcontroller, it can be seen the amount of
energy produced by solar cells and the value of solar radiation. There are 2 data storage methods, namely using
an SD card and an IoT platform. In the measurement process for 5 days, the efficiency values of the 20Wp and
10Wp Polycrystalline Silicon solar cells were obtained with a value of respectively 7.298% and 8.843%. The
effect of the value of solar radiation received by solar cells also affects the length of time to charge the battery.
When the sky is clear, the average daily energy produced by the 20Wp and 10Wp solar cells is 112.245 VAh and
67.85 VAh, respectively, and is able to charge 86.4 VA lead acid batteries for 9¼ hours and 12½ hours
respectively. However, in cloudy skies, solar cells only produce daily energy of 47.62 VAh and 32.33 VAh, and
charge 86.4 VA lead acid batteries for longer, namely 19 hours or ± 1 day 7 hours and 20½ hours or ± 1 days
8½ hours.
Keywords: Microcontroller, Lead Acid battery, IoT
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