NOVALDI, RIESKY DWI (2024) FAILURE DETECTION PADA PHOTOVOLTAIC MODULE DENGAN METODE ELECTROLUMINESCENCE DAN ALGORITMA YOLO MENGGUNAKAN KAMERA CLOSED CIRCUIT TELEVISION. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.

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Abstract

The failure detection in PV modules can occur due to the presence of cracks in the PV module cells, which affects the quality of the PV module. These cracks cannot be seen by the naked eye, one of the methods to visualize cracks in PV module cells is by using the electroluminescence method, by applying power according to the nameplate on the PV module in a forward bias manner and captured with a CCTV camera. Determining the types of cracks present include normal annotations, linear cracks, cross cracks, flaky, and broken to automatically detect cracks in PV module cells using the YOLOv8 algorithm. Using PV modules of 85 Wp, 100 Wp (1), 100 Wp (2), 300 Wp, and 315 Wp with percentage error testing conducted at 11.00, 12.00, and 13.00. The highest percentage error result was found in the 85 Wp PV module with a value of 13,09% in Voc at 13.00 and 13,28% in Isc at 13.00. The highest percentage error result was found in the 100 Wp (1) PV module with a value of 12,43% in Voc at 13.00 and 32,46% in Isc at 13.00. The highest percentage error result was found in the 100 Wp (2) PV module with a value of 9,75% in Voc at 11.00 and 35,08% in Isc at 11.00. The highest percentage error result was found in the 300 Wp PV module with a value of 15,22% in Voc at 13.00 and 48,32% in Isc at 13.00. The highest percentage error result was found in the 315 Wp PV module with a value of 8,66% in Voc at 11.00 and 41,43% in Isc at 11.00.

Item Type:	Thesis (S1)
Contributors:	Contribution Contributors NIP/NIM Thesis advisor ALFANZ, ROCKY 198103282010121001
Additional Information:	Failure detection pada PV module dapat terjadi dikarenakan terdapat cracks pada cells PV module, hal tersebut mempengaruhi kualitas dari PV module. Cracks tersebut tidak dapat dilihat oleh kasat mata, salah satu metode yang dapat melihat cracks pada cells PV module yaitu dengan menggunakan metode electroluminescence, dengan memasukan daya sesuai dengan nameplate pada PV module secara forward bias dan ditangkap dengan kamera CCTV. Menentukan jenis cracks yang terdapat anotasi normal, linear cracks, cross cracks, flaky, dan broken untuk mendeteksi cracks pada cells PV module secara otomatis menggunakan algoritma YOLOv8. Menggunakan PV module 85 Wp, 100 Wp (1), 100 Wp (2), 300 Wp, dan 315 Wp dengan pengujian persentase error dilakukan pada jam 11.00, 12.00 dan 13.00. Hasil persentase error tertinggi pada PV module 85 Wp dengan nilai 13,09% pada Voc di jam 13.00 dan 13,28% pada Isc di jam 13.00. Hasil persentase error tertinggi pada PV module 100 Wp (1) dengan nilai 12,43% pada Voc di jam 13.00 dan 32,46% pada Isc di jam 13.00. Hasil persentase error tertinggi pada PV module 100 Wp (2) dengan nilai 9,75% pada Voc di jam 11.00 dan 35,08% pada Isc di jam 11.00. Hasil persentase error tertinggi pada PV module 300 Wp dengan nilai 15,22% pada Voc di jam 13.00 dan 48,32% pada Isc di jam 13.00. Hasil persentase error tertinggi pada PV module 315 Wp dengan nilai 8,66% pada Voc di jam 11.00 dan 41,43% pada Isc di jam 11.00.
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User:	Mr Riesky Dwi Novaldi
Date Deposited:	06 Jun 2024 13:40
Last Modified:	06 Jun 2024 13:40
URI:	http://eprints.untirta.ac.id/id/eprint/35877

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