Temperature Control System On Solar Panels Using Fuzzy Logic Method To Improve Panel Performance

Adriyanto, Abil Adriyanto (2026) Temperature Control System On Solar Panels Using Fuzzy Logic Method To Improve Panel Performance. Project Report. [s.n]. (Unpublished)

Text 2040211018-PROJECT_REPORT.pdf - Accepted Version Restricted to Repository staff only Download (4MB) | Request a copy

Abstract

Energi surya merupakan bentuk energi terbarukan yang berpotensi memenuhi kebutuhan listrik secara berkelanjutan. Penggunaan panel surya, atau modul PV (Fotovoltaik), sebagai sumber listrik terus meningkat; namun, kinerjanya dipengaruhi oleh suhu operasionalnya. Ketika suhu panel surya melampaui batas maksimumnya, efisiensi konversi energi listrik akan menurun. Oleh karena itu, penelitian ini berfokus pada pengembangan sistem pendingin panel surya menggunakan logika fuzzy untuk menjaga panel tetap pada suhu operasional optimal, sehingga mempertahankan kemampuan konversi energinya. Penelitian ini bertujuan untuk menganalisis penerapan sistem pendingin berbasis aliran air yang dikendalikan oleh logika fuzzy serta menilai dampaknya terhadap kinerja konversi energi panel surya. Sistem logika fuzzy dirancang untuk mengatur aliran air pendingin secara otomatis berdasarkan suhu panel surya. Data pengujian dianalisis untuk membandingkan kinerja panel surya sebelum dan sesudah sistem pendingin diterapkan. Hasil penelitian menunjukkan bahwa metode logika fuzzy secara efektif mengendalikan proses pendinginan, sehingga menjaga suhu panel surya tetap dalam batas optimal. Selama pengujian pada hari kedua, suhu rata-rata panel surya tanpa pendinginan adalah 44,55°C, dengan suhu puncak mencapai 57,40°C; sebaliknya, dengan sistem pendingin berbasis logika fuzzy, suhu rata-rata berhasil diturunkan menjadi 36,40°C. Penurunan suhu ini menghasilkan peningkatan efisiensi konversi energi rata-rata dari 1,63% (tanpa pendinginan) menjadi 2,81% (dengan pendinginan)—suatu peningkatan sebesar 1,18 poin persentase (yang mencerminkan peningkatan relatif sekitar 72,4%). Penurunan suhu memberikan dampak positif baik terhadap konversi energi listrik maupun daya keluaran panel surya. Dengan demikian, sistem pengendalian suhu berbasis logika fuzzy menawarkan solusi potensial untuk meningkatkan kinerja panel surya, khususnya di wilayah tropis yang memiliki intensitas sinar matahari tinggi sepanjang tahun. ================================================================================================================================
Solar energy is a form of renewable energy with the potential to meet electricity needs sustainably. The use of solar panels, or PV (Photovoltaic) modules, as an electricity source is steadily increasing; however, their performance is influenced by their operating temperature. When a solar panel's temperature exceeds its maximum limit, the efficiency of electrical energy conversion drops. Therefore, this study focuses on developing a solar panel cooling system using fuzzy logic to maintain the panel at its optimal operating temperature, thereby preserving its energy conversion capability. The research aims to analyze the implementation of a water-flow-based cooling system controlled by fuzzy logic and to assess its impact on the solar panel's energy conversion performance. The fuzzy logic system is designed to automatically regulate the cooling water flow based on the solar panel's temperature. Test data were analyzed to compare solar panel performance before and after the cooling system was implemented. The results demonstrate that the fuzzy logic method effectively controls the cooling process, keeping the solar panel temperature within optimal limits. During testing on the second day, the average temperature of the solar panel without cooling was 44.55°C, with a peak of 57.40°C; conversely, with the fuzzy logic-based cooling system, the average temperature was successfully reduced to 36.40°C. This temperature reduction led to an increase in average energy conversion efficiency from 1.63% (without cooling) to 2.81% (with cooling)—an increase of 1.18 percentage points (representing a relative increase of approximately 72.4%). Lowering the temperature positively impacted both electrical energy conversion and the power output of the solar panel. Thus, a fuzzy logic-based temperature control system offers a potential solution for enhancing solar panel performance, particularly in tropical regions characterized by intense sunlight throughout the year.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Panel Surya, Sistem Pendingin Panel Surya, Efisiensi Konversi Energi, Fuzzy Logic.======================================================= Photovoltaic, Photovoltaic Cooling System, Energy Conversion Efficiency, Fuzzy Logic.
Subjects:	T Technology > TH Building construction > TH9737 Electronic security systems T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Abil Adriyanto
Date Deposited:	11 Sep 2026 04:04
Last Modified:	11 Sep 2026 04:04
URI:	http://repository.its.ac.id/id/eprint/144449

Actions (login required)

View Item