Disain Dan Implementasi Sensor Monitoring Jarak Jauh Berbasis IOT Terhadap Kinerja Panel Surya, Serta Simulasi Deteksi Debu Dan Efek Bayangan

Abduh, Sahry Ramadhan (2022) Disain Dan Implementasi Sensor Monitoring Jarak Jauh Berbasis IOT Terhadap Kinerja Panel Surya, Serta Simulasi Deteksi Debu Dan Efek Bayangan. S2 thesis, Universitas Kristen Indonesia.

	Text (Hal_Judul_Daftar_Isi_Daftar_Tabel_Daftar_Gambar_Abstrak) HalJudulDaftarIsiDaftarTabelDaftarGambarAbstrak.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (3MB)
	Text (BAB_I) BABI.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (703kB)
	Text (BAB_II) BABII.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial Share Alike. Download (2MB)
	Text (BAB_III) BABIII.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial Share Alike. Download (871kB)
	Text (BAB_IV) BABIV.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial Share Alike. Download (2MB)
	Text (BAB_V) BABV.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial Share Alike. Download (613kB)
	Text (Daftar_Pustaka) DaftarPustaka.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (432kB)

Abstract

Penelitian ini bertujuan untuk mendisain dan mengimplementasikan aplikasi secara end-to- end suatu perangkat jarak jauh sistem pemantauan real-time memanfaatkan Teknologi IoT, untuk mengukur kinerja panel surya saat operasional, serta membuat simulasi kondisi lingkungan tidak normal karena pengaruh tumpukan debu atau efek tertutup oleh bayangan pada permukaan panel surya. Dari sampel hasil penelitian akusisi data sensor-sensor yang terhubung ke mikrokontroller, telah direkam sebagai data di Datalogger (data lokal di SD Card). Secara simultan, juga dilakukan pengiriman data ke Online Internet Aplikasi Cloud. Penelitian telah berhasil mengukur parameter karakteristik panel surya, yaitu parameter kelistrikan kurva I-V dan posisi saat maksimum produksi daya (P) tercapai. Adapun variasi trend datanya dapat dipilih dan ditampilkan berdasarkan seri waktu (menit, jam, harian, minggu dan bulan). Dan penelitian berhasil pula mengamati parameter perubahan lingkungan seperti intensitas radiasi matahari, temperatur, serta kelembaban udara. Sistem monitoring berbasis IoT yang didisain dan diimplementasikan ini, juga mampu melihat pengaruh kecepatan, pay-load paket data, jenis media dan kestabilan jaringan komunikasi IoT yang dipakai koneksi ke Internet. Seri trend time data-data ini memberikan gambaran kinerja panel surya saat dioperasionalkan. Semua hasil-hasil data olahan penelitian yang banyak dan lama, telah memperlihatkan masing-masing korelasinya menggunakan open software analisa data python. Dengan software yang sama, juga dapat diperolehv visualisasi data analisa prakiraan cuaca lingkungan kedepan. Visualisasi infografik ini dapat menunjukkan prediksi dalam sistem pemeliharaan efektif. Keywords: Internet of Things (IoT), performansi panel surya, efek debu, efek bayangan, datalogger, prediksi pemeliharaan./ This study aims to design and implement an end-to-end application a remote real-time monitoring system using IoT technology, to measure the performance of solar panels during operation, as well as simulating abnormal environmental conditions due to the influence of dust piles or the effect of being covered by shadows on the surface of the solar panels. From the sample data acquisition research results of sensors connected to the microcontroller, it has been recorded as data in the Datalogger (local data on the SD Card). Simultaneously, data is also sent to the online Internet Cloud Application. The research has succeeded in measuring the characteristic parameters of solar panels, namely the electrical parameters of the I-V curve and the position when the maximum power production (P) is reached. The data trend variations can be selected and displayed based on the time series (minutes, hours, days, weeks and months). And the research has also succeeded in observing the parameters of environmental changes such as the intensity of solar radiation, temperature, and air humidity that affect the production of solar panel electricity. This IoT-based monitoring system that is designed and implemented is also able to see the effect of speed, data packet pay-load, media type and stability of the IoT communication network used to connect to the Internet. The trend time series of these data provides an overview of the performance of solar panels when operational. All the results of many and old research processed data, have shown their respective correlations using the open python data analysis software. With the same software, data visualization can also be obtained for future environmental weather forecast analysis. This infographic visualization can show predictions in effective maintenance systems. Keywords: Internet of Things (IoT), Solar panel performance, dust effect, shadow effect, datalogger, predictive maintenance.

Actions (login required)

View Item