Optimal Design Of Renewable Energy Systemusing Genetic Algorithm Case Study In Parangtritis

SRI UTAMI

Sari


ABSTRAK

Andil pariwisata terhadap perkembangan regional sangat besar begitu juga andilnya terhadap permasalahan lingkungan. Untuk mengurangi aspek negatif terhadap lingkungan serta meningkatkan penghematan, sistem energi terbarukan menempati prioritas penting dalam bidang pariwisata. Konfigurasi optimal sistem energi terbarukan direncanakan menggunakan Algoritma Genetika. Penelitian ini dilakukan untuk mengoptimasi sistem energi terbarukan di Parangtritis, Kretek, Bantul, Jawa Tengah. Sistem yang dirancang terdiri dari sel surya dan turbin angin, sedangkan sistem penyimpanannya menggunakan baterai dan fuel cell. Algoritma ini meminimisasi fungsi objektif biaya total yang terdiri dari biaya investasi, biaya penggantian serta biaya operasi dan perawatan. Kehandalan sistem dievaluasi menggunakan indeks Equivalent Loss Factor (). Indeks ini memberikan informasi jumlah energi yang tidak dapat dipasok oleh sistem energi terbarukan. Hasil simulasi memperlihatkan jumlah optimal sistem energi terbarukan dicapai dengan jumlah sel surya sebanyak 3, baterai 48,turbin angin sebanyak 36, elektroliser sebanyak 3, tangki hidrogen 2 dan fuel cell sebanyak 8. Nilai ELF yang digunakan dalam penelitian ini adalah 0.01.


ABSTRACT

Tourism has a massive contribution to regional development and shares environmental issues. Reducing reliances on fossil fuel, it is not still adequating energy consumption yet to cause development of renewable energy in crucial position for tourism desicition. An optimal configuration of renewable energy system was planned by Genetic Algorithm in this work. This research conducted to optimize renewable  energy system in Parangtritis, Kretek, Bantul Central Java. The system consisted of solar cells and wind turbines, and the batteries and fuel cells were as storage system. The algorithm minimize objective function of total cost consisted of investment, replacement as well as operating and maintenance costs. A reability evaluation of the system was given by Equivalent Loss Factor (). This index inform an insufficient energy in the systems. The simulation showed an optimum size of the system, achieved by size of PV, battery, wind turbine, electrolizer, hidrogen tank and fuel cell were  3, 48, 36, 3, 2, 8 respectively. The ELF used in this simulation was 0.01.

Keywords: fossil fuel,  renewable energy, tourism, Equivalent Lost Factor

 


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Referensi


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DOI: https://doi.org/10.26760/elkomika.v4i2.148

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