Optimalisasi Perubahan Daya Panel Surya Dan Energi Pembersihan Menggunakan Metode Multi-Objective Linear Programming

Putra, Andika Pratama (2026) Optimalisasi Perubahan Daya Panel Surya Dan Energi Pembersihan Menggunakan Metode Multi-Objective Linear Programming. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penumpukan debu dan kotoran pada permukaan panel surya menyebabkan penurunan daya keluaran secara signifikan, sehingga diperlukan mekanisme pembersihan otomatis menggunakan wiper dan washer. Namun, proses pembersihan tersebut turut mengonsumsi energi baterai, sehingga muncul trade-off antara peningkatan perubahan daya panel surya dan efisiensi energi pembersihan. Penelitian ini bertujuan memodelkan dan mengoptimalkan hubungan antara duty cycle wiper-washer, waktu operasional, perubahan daya, dan konsumsi energi pembersihan pada panel surya monocrystalline berkapasitas 550 Watt menggunakan pendekatan Multi-Objective Linear Programming (MOLP). Model non-linear hasil regresi saturation growth dilinearisasi melalui piecewise linearization dengan metode secant dan tangent serta relaksasi McCormick untuk suku bilinear, kemudian diselesaikan dengan metode Weighted Sum dan ɛ-constraint untuk membentuk Front Pareto. Solusi tunggal terbaik dipilih menggunakan Compromise Programming berdasarkan jarak Euclidean terhadap titik ideal. Hasil penelitian menunjukkan solusi optimal pada duty cycle wiper-washer 100% dengan durasi pembersihan 16,03 detik, menghasilkan perubahan daya sebesar 45,22 Watt dan konsumsi energi 0,373 Wh, memberikan keseimbangan terbaik antara efektivitas pembersihan dan efisiensi energi.
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Dust and dirt accumulation on solar panel surfaces (soiling) causes a significant decrease in output power, requiring an automatic cleaning mechanism using a wiper and washer. However, this cleaning process also consumes battery energy, creating a trade-off between maximizing the power change of the solar panel and minimizing cleaning energy consumption. This study aims to model and optimize the relationship between wiper-washer duty cycle, operational time, power change, and cleaning energy consumption on a 550-Watt monocrystalline solar panel using a Multi-Objective Linear Programming (MOLP) approach. The non-linear model obtained from saturation growth regression was linearized through piecewise linearization (secant and tangent methods) and McCormick relaxation for the bilinear term, then solved using the Weighted Sum and ɛ-constraint methods to construct the Pareto Front. The single best solution was selected using Compromise Programming based on the Euclidean distance to the ideal point. The results show that the optimal solution is achieved at a wiper-washer duty cycle of 100% with a cleaning duration of 16.03 seconds, producing a power change of 45.22 Watts and an energy consumption of 0.373 Wh, offering the best balance between cleaning effectiveness and energy efficiency.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Panel Surya, Multi-Objective Linear Programming, Optimasi Duty Cycle PWM, Sistem Pebersihan Otomatis, Soiling, Solar Panels, Multi-Objective Linear Programming, PWM Duty Cycle Optimization,Automatic Cleaning System, Soiling.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Andika Pratama Putra
Date Deposited:	14 Aug 2026 06:22
Last Modified:	14 Aug 2026 06:22
URI:	http://repository.its.ac.id/id/eprint/144350

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