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Abstrak :
Salah satu tantangan dalam mendesain Pembangkit Listrik Tenaga Surya (PLTS) di daerah terpencil adalah penentuan besar konsumsi energi listrik yang tepat dikarenakan tidak tersedianya data konsumsi energi listrik di daerah terpencil, khususnya yang belum teraliri listrik. Salah satu solusi yang dapat dilakukan adalah dengan pemodelan dan proyeksi konsumsi energi listrik berdasarkan kondisi ekonomi dan sosial di wilayah terpencil tersebut dan sekitarnya. Penelitian ini memaparkan tentang pemodelan konsumsi energi listrik di daerah terpencil, Desa A dan Desa B, Kabupaten Wakatobi, Provinsi Sulawesi Tenggara untuk pembangkit listrik tenaga surya (PLTS) Mandiri. Pemodelan konsumsi energi listrik dilakukan dengan dua tahapan, yang pertama adalah menentukan kebutuhan energi listrik di kedua desa saat tahun 2015 (tahun pertama project life timeberjalan) dengan metode wawancara. Tahapan kedua adalah membuat proyeksi kebutuhan energi listrik sampai tahun2030 (tahun project lifetimeberakhir). Proyeksi pertumbuhan beban di kedua desa dilakukan dengan mempertimbangkan pertumbuhan beban listrik di Provinsi Sulawesi Tenggarayangditentukan menggunakan metode regresi principal component (PC). Berdasarkan metode regresi PC, hasil proyeksi konsumsi energi listrik di Desa A dan Desa Bsampaitahun 2030 masing-masing sebesar 501 kWh per hari dan 370 kWh per hariuntuk regresi PC tujuh variabel dan1.058 kWh per hari dan dan 782 kWh per hariuntukregresiPCtiga variabel. ......Due to lack of historical electricity consumption data, one of challenges faced byPV power plant designer is determining electrical consumptiondata for PV power plant design,especially in remote areas. As solutions, this research proposes electricity consumption data projecting and modeling based on economic and social conditions in remote areaare proposedwithVillageA and Village B, Southeast Sulawesi Province as study location. Electrical consumption demand data in the village are determined based on villager Willingness to Pay(WTP). Theloaddata are also projected until 15 years ahead by considering electricity consumption growth in Southeast Sulawesi which is determined based on principal component (PC) regression methods. With seven regresisson variable, the daily electrical energy consumption projection in Village A and Village B are501 kWh and 370 kWh respectively. On the other hand, the daily electricity consumption projection in Village A and Village are B1,058 kWh and 782 kWh respectively three regression variable.

Abstrak :
As a tropical country, Indonesia has great solar energy potential, with an average solar radiation intensity of 4.8 kWh/m2/d. Consequently, the optimization of solar power plants in Indonesia is necessary. The objective of this paper is to investigate solar panel optimization in Indonesia using system advisor model (SAM) software. Optimization focuses on two main concerns, choice of photovoltaic (PV) type and optimum PV tilt angle. Research is conducted in three different cities in Indonesia. The annual energy production simulation is conducted on 5 kWDC PV on-grid systems with different PV types and slope angles. According to simulation results, Indonesia has a relatively low proper PV tilt angle, with a value of 11o, 11o and 6o for Jakarta, Makassar and Jayapura, respectively. It can also be derived that when compared to crystalline PV modules, thin film PV modules have better performance, with the highest annual energy production due to its temperature coefficient characteristics.