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Abstract
Penggunaan panel surya secara statis tidak mampu mengikuti pergerakan matahari sehingga menurunkan efisiensi serapan energi sepanjang hari. Untuk mengatasi hal ini, pada penelitian ini dikembangkan sistem solar tracker satu sumbu berbasis logika fuzzy yang mampu mengatur arah panel secara otomatis mengikuti arah datangnya cahaya matahari. Sistem terdiri dari dua sensor DFRobot_B_LUX_V30B yang membaca intensitas cahaya kiri dan kanan, dikendalikan oleh mikrokontroler ESP32 Devkit V1, dan mengatur arah aktuator linear melalui driver IBT-2 menggunakan 16 rule fuzzy. Hasil pengujian menunjukkan bahwa sistem dapat mendeteksi perubahan intensitas cahaya secara responsif, dan menggerakkan panel secara otomatis sesuai arah matahari. Berdasarkan pengujian di lapangan dengan beban, daya rata-rata dari panel dengan sistem solar tracker mencapai 56.06W, sedangkan pada sistem statis hanya mencapai 39.45W, Ini menunjukan bahwa sistem solar tracker berbasis logika fuzzy mampu meningkatkan efisiensi pengisian baterai panel surya sebesar 44% dibandingkan dengan sistem panel surya statis.
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Copyright (c) 2025 Wahyu Tri Wahono, Dinda Ayu Permatasari, Dimas Rossiawan Hendra Putra, Anindya Dwi Risdhayanti
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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References
O. J. Ayamolowo, P. T. Manditereza, and K. Kusakana, “Investigating the Potential of Solar Trackers in Renewable Energy Integration to Grid,” vol. 2022, no. 1, p. 12031, 2021, doi: 10.1088/1742-6596/2022/1/012031.
S. Vikkurty, N. P. Hegde, S. V. Kumar, S. V. N. Ramakanth, and R. Sai, “Enhancing Power Generation Using Efficient Smart Solar Tracker,” 2024, pp. 473–480. doi: 10.1007/978-981-99-7137-4_46.
V. Poulek, “Application of Solar Trackers in Photovoltaic Power Plants,” 2025, doi: 10.20944/preprints202508.1746.v1.
A. Prakash and K. Lal, “Assessing Solar Tracker Effectiveness in Diverse Weather Conditions,” Int. J. Adv. Eng. Res. Sci., doi: 10.22161/ijaers.115.2.
A. Mishra, P. Gupta, and N. Mehendale, “Sun-Tracking Solar Panel System for improved Energy Collection Efficiency,” 2023. doi: 10.2139/ssrn.4513765.
N. Waldron, S. Smith, and V. Karthik, “Solar Tracking System Utilizing Internet of Things Technologies for Enhanced Power Generation,” 2023, doi: 10.1109/icrera59003.2023.10269398.
D. A. Flores-Hernández, L. R. Islas-Estrada, and S. I. Palomino-Reséndiz, “A Novel Tracking Strategy Based on Real-Time Monitoring to Increase the Lifetime of Dual-Axis Solar Tracking Systems,” Appl. Sci., vol. 14, no. 18, p. 8281, 2024, doi: 10.3390/app14188281.
H. Zaheb, M. Ahmadi, H. Fedayi, and A. Yona, “Maximizing Annual Energy Yield in a Grid-Connected PV Solar Power Plant: Analysis of Seasonal Tilt Angle and Solar Tracking Strategies,” Sustainability, 2023, doi: 10.3390/su151411053.
M. A. V. Rad et al., “A comprehensive study of techno-economic and environmental features of different solar tracking systems for residential photovoltaic installations,” Renew. Sustain. Energy Rev., vol. 129, p. 109923, 2020, doi: 10.1016/J.RSER.2020.109923.
C. Huang, K. Itako, T. Mori, and Q. Ge, “Efficiency Improvement of PV Generation System by Using Improved P & O Method of MPPT,” 2015.
M. R. Khan, S. M. A. Motakabber, A. Z. Alam, and S. A. F. Wafa, “Fuzzy Logic and PI Controller for Photovoltaic Panel Battery Charging System,” IIUM Eng. J., vol. 23, no. 2, pp. 138–153, 2022, doi: 10.31436/iiumej.v23i2.2385.
S. Sanim, M. Yesmin, T. Banik, A. Shufian, and R. Islam, “Amplifying Maximum Power Point Tracking in Solar PV Charge Controllers Using Fuzzy Logic,” pp. 1–6, 2024, doi: 10.1109/compas60761.2024.10796741.
I. Abadi, C. Imron, M. M. Bachrowi, and D. N. Fitriyanah, “Design and implementation of battery charging system on solar tracker based stand alone PV using fuzzy modified particle swarm optimization,” vol. 8, no. 1, pp. 142–155, 2020, doi: 10.3934/ENERGY.2020.1.142.
L. Z. Yang, M. A. M. Yunus, S. Sahlan, and A. Jamali, “Automated Dual-axis Solar Tracking System Using Fuzzy Logic Control,” 2023, pp. 150–154. doi: 10.1109/icsima59853.2023.10373468.
F. E. L. Monteagudo, R. V. Varela, A. B. Telles, and C. R. Rivas, “Design and construction of a fuzzy logic solar tracker prototype for the optimization of a photovoltaic system,” J. Eng. Technol. Ind. Appl., vol. 9, no. 40, 2023, doi: 10.5935/jetia.v9i40.857.
H. Sharma, A. Rana, R. P. Singh, B. Goyal, A. Dogra, and D. C. Lepcha, “Improving Efficiency of Panel Using Solar Tracker Controlled Through Fuzzy Logic,” 2023, pp. 286–289. doi: 10.1109/icseiet58677.2023.10303639.