Analisis Potensi Panel Surya Dengan Digital Surface Model (DSM) Hasil UAV Fixed Wing (Studi Kasus: Desa Banturejo, Kabupaten Malang)

Maulana, Farhan Kariim (2024) Analisis Potensi Panel Surya Dengan Digital Surface Model (DSM) Hasil UAV Fixed Wing (Studi Kasus: Desa Banturejo, Kabupaten Malang). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Energi surya merupakan sumber energi yang tidak akan pernah habis ketersediaannya dan dapat dimanfaatkan sebagai energi alternatif yang dapat diubah menjadi energi listrik dengan menggunakan panel surya. Dengan melihat letak geografis Indonesia yang terletak pada garis khatulistiwa dan memiliki iklim tropis dapat dikatakan bahwa negara ini memiliki tingkat intensitas matahari yang cukup stabil dan kaya akan potensi energi surya. Namun, untuk memaksimalkan penggunaan panel surya dibutuhkan pemilihan lokasi yang tepat salah satunya dengan menggunakan teknologi fotogrametri yaitu Unmanned Aerial Vehicle Fixed Wing. Hasil yang didapatkan akusisi dengan wahana UAV Fixed Wing di Desa Banturejo dilakukan pengolahan sehingga menghasilkan Orthophoto dan Digital Surface Model (DSM). Orthophoto hasil pengolahan memiliki resolusi 8,12 cm/pix sedangkan DSM memiliki resolusi 1,84 cm/pix. Digitasi dilakukan untuk mendapatkan luasan atap dimana pada Desa Banturejo terdapat 6467 tapak atap dan 1954 atap bangunan dengan luasan 4,43 – 887,95 m2. Pada penelitian ini perhitungan dilakukan menggunakan software pengolahan data spasial dengan tools Area Solar Radiation. Terdapat berberapa pameter yang digunakan pada perhitungan menggunakan tools Area Solar Radiation antara lain data Digital Surface Model (DSM) dan Data Curah Hujan yang didapatkan dari Badan Meteorologi, Klimatologi dan Geofisika (BMKG). Perhitungan menghasilkan pola distribusi matahari dimana bangunan yang memiliki permukaan datar dan mengarah ke timur laut mendapatkan lebih banyak radiasi matahari. Hasil distribusi matahari dilakukan validasi dengan pola sebaran temperatur atap drone thermal pada 4 atap. Pola sebaran radiasi matahari dengan temperatur atap memiliki pola yang sesuai. Hasil radiasi matahari dilakukan perhitungan efesiensi panel surya dengan memperhitunkan radiasi matahari hasil pengolahan, luasan atap yang didapat dari hasil digitasi, efesiensi, dan peforma rasio panel surya. Dalam tahun 2023, Desa Banturejo diestimasikan dapat memproduksi 1.228,66-225.943,74 kWh listrik.
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Solar energy is an energy source that will never run out of availability and can be utilized as an alternative energy that can be converted into electrical energy using solar panels. By looking at the geographical location of Indonesia, which is located on the equator and has a tropical climate, it can be said that this country has a fairly stable level of solar intensity and is rich in solar energy potential. However, to maximize the use of solar panels, it is necessary to select the right location, one of which is by using photogrammetric technology, namely the Unmanned Aerial Vehicle Fixed Wing. The results obtained by the acquisition with the UAV Fixed Wing vehicle in Banturejo Village were processed to produce Orthophoto and Digital Surface Model (DSM). The processed orthophoto has a resolution of 8.12 cm/pix while the DSM has a resolution of 1.84 cm/pix. Digitization was carried out to obtain the roof area where in Banturejo Village there are 6467 roof treads and 1954 building roofs with an area of 4.43 - 887.95 m^2. In this research, the calculation was carried out using spatial data processing software with the Area Solar Radiation tool. There are several parameters used in calculations using the Area Solar Radiation tool, including Digital Surface Model (DSM) data and Rainfall Data obtained from the Badan Meteorologi, Klimatologi dan Geofisika (BMKG). The calculation produces a solar distribution pattern where buildings that have a flat surface and point to the northeast get more solar radiation. The results of solar distribution are validated with the thermal drone roof temperature distribution pattern on 4 roofs. The distribution pattern of solar radiation with roof temperature has a suitable pattern. The results of solar radiation are calculated by calculating the efficiency of solar panels by calculating the solar radiation processing results, the roof area obtained from the results of digitization, efficiency, and performance ratio of solar panels. In 2023, Banturejo Village is estimated to produce 1,228.66-225,943.74 kWh of electricity.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Atap, DSM, Orthophoto, Panel Surya, UAV, Roof, Solar Panel
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems.
G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data
G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA105.3 Cartography.
G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA139 Digital Elevation Model (computer program)
Divisions: Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User: Farhan Kariim Maulana
Date Deposited: 02 Aug 2024 02:10
Last Modified: 19 Sep 2024 01:13
URI: http://repository.its.ac.id/id/eprint/111412

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