Susanti, Mia Dwi (2024) Rancang Bangun Sistem Pengendalian Temperatur Panel Surya Dengan Water Spraying Dan Air Cooling Berbasis IoT Untuk Peningkatan Efisiensi Produksi Daya Listrik. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Teknologi photovoltaic (panel surya) dikenal sebagai teknologi yang memanfaatkan energi surya kemudian dikonversi menjadi energi listrik. Pemerintah Indonesia telah menargetkan kapasitas PLTS sebesar 0,87 GW atau 50 MWp/tahun hingga tahun 2025. Namun penerapan teknologi photovoltaic (panel surya) membutuhkan maintenance yang tepat karena akan memengaruhi efisiensi panel surya. Faktor yang memengaruhi kondisi panel diantaranya adalah bahan yang digunakan selama instalasi, keadaan lingkungan sekitar, kotoran atau debu dan desain panel. Penelitian ini melakukan teknik pengendalian temperatur permukaan panel surya berbasis spray water dan air cooling dan dapat dilakukan monitoring jarak jauh dengan Internet of Things. Hasil uji karakterisasi sensor menunjukkan nilai kesalahan masih dapat diterima karena kurang dari 2% sehingga alat ini telah layak digunakan. Arsitektur pengendali logika fuzzy pada penelitian ini menggunakan Fuzzy Inferensi Sistem (FIS) Sugeno yang memiliki 5 fungsi keanggotaan. Hasil uji sistem kontrol pendingin secara konsisten meningkatkan efisiensi panel surya di setiap jam pengukuran. Peningkatan efisiensi berkisar antara 1,9% hingga 4,68%, dengan peningkatan terbesar terjadi pada pukul 9.00 hingga 15.00. Respon sistem kontrol fuzzy memiliki indeks performansi untuk nilai rise time 149s, error steady state sebesar 0,12%, maximum overshoot sebesar -0,33% dan delay time 74,5s. Penggunaan IoT memberikan informasi dari fitur yang digunakan untuk mengetahui perubahan kondisi lingkungan dan memantau kinerja sistem panel surya secara efektif.
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Photovoltaic (solar panel) technology is known as the technology that utilizes solar energy and converts it into electrical energy electricity. The Indonesian government has targeted 0.87 GW or 50 MWp/year of solar power capacity by 2025 or 50 MWp/year until 2025. However, the application of photovoltaic technology (technology requires proper maintenance because it will affect the efficiency of solar panels efficiency. Factors that affect the condition of the panels include are the materials used during installation, the state of the surrounding environment, dirt or dust and panel design. This research conducted a technique to control surface temperature of solar panels based on spray water and air cooling and can be remotely monitored with the Internet of Things remote monitoring with the Internet of Things. The sensor characterization test results show errors but the error is still acceptable because it is less than 2% so that this tool is feasible to use. Fuzzy logic controller architecture in this research Fuzzy Inference System (FIS) Sugeno which has 5 membership function. The test results of the cooling control system consistently increase the efficiency of the solar panel in every hour of measurement. The increase in efficiency ranged from 1.9% to 4.68%, with the largest increase occurring from 9:00 to 15:00. The fuzzy control system response has performance indices for the rise time value of 149s, steady state error of 0.12%, maximum overshoot of -0.33% and delay time of 74.5s. The use of IoT provides information from features that are used.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | air cooling, fuzzy, pv, water spraying |
| Subjects: | Q Science > QC Physics > QC100.5 Measuring instruments (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30101-(S2) Master Thesis |
| Depositing User: | Mia Dwi Susanti |
| Date Deposited: | 04 Sep 2024 03:20 |
| Last Modified: | 04 Sep 2024 03:20 |
| URI: | http://repository.its.ac.id/id/eprint/115603 |
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