SIMULASI OPTIMASI KAPASITAS PLTS ATAP UNTUK RUMAH TANGGA DI SURABAYA
DOI : 10.24269/mtkind.v14i1.2600
Energi surya merupakan salah satu pilihan yang dapat digunakan untuk mengurangi pemakaian sumber energi fosil yang persediaannya semakin menipis serta pemanasan global yang ditimbulkan akibat pemakaiannya. Pemerintah Indonesia telah mengusahakan pemanfaatn pembangkit listrik tenaga surya (PLTS) melalui berbagai kebijakan. Tulisan ini membahas optimasi kapasitas PLTS atap (rooftop) untuk sebuah rumah tangga mengacu pada kebijakan pemerintah tentang PLTS atap yang berlaku saat ini. Studi kasus dilakukan terhadap sebuah rumah dengan perkiraan beban PLN terpasang 2,2 kVA dan kebutuhan energi listrik sekitar 13 kWh/hari, yang berada di Surabaya. Energi keluaran sistemPLTS disimulasikan dengan software PVSpot dan SolarGIS. Untuk memenuhi kebutuhan listrik rumah tangga dalam studi kasus, sistem PLTS yang optimum adalah sekitar 3 kWp dengan sistem inverter yang sesuai. Energi keluaran rata-rata bulanan sistem PLTS tersebut adalah .350 kWh dengan rentang terendah dan tertinggi masing-masing 203 kWh dan 350 kWh per bulan. Energi tersebut dapat memenuhi 90% kebutuhan energi rumah yang disimulasikan.
Solar energy is one of the options that can be exploited to reduce fossil-based fuel which its availability is limited and global warming impact of its use. The Government of Indonesia has been promoting solar electricity use through various policies. This paper discusses the optimum capacity of the solar rooftop PV system specifically for households based on the most recent The Government policy. A typical house with the grid capacity installed 2,2 kVA located in Surabaya is simulated. The daily energy demand of the house is about 13 kWh per day. Simulations were carried out using PVspot and SolarGIS. It is found that the optimum capacity of the rooftop PV system for the simulated house is 3 kWp with a suitable of the inverter system. The average energy output for such a system is 350 kWh per month, with minimum and maximum of 203 kWh and 350 kWh per month respectively. The system could provide 90% of electricity for the simulated household.
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