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All Journal G-Tech : Jurnal Teknologi Terapan
Agie Maliki Akbar
Universitas Surya, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Analyzing the Feasibility of Photovoltaic Solar Systems in the Parking Area of Universitas Multimedia Nusantara: A PVSyst Simulation-based Investigation Vanesa Lorent; Agie Maliki Akbar; Fahmy Rinanda Saputri
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4387

Abstract

The article explores the feasibility and economic viability of installing a solar power generation system at the rear parking area of Universitas Multimedia Nusantara (UMN). Utilizing PVSyst simulation, the study demonstrates that the proposed system can generate 224 MWh of electricity annually, meeting 20% of the energy needs for nearby buildings A and D. Despite requiring an initial investment of Rp. 781,883,953.26, the system proves financially sound with an NPV of Rp. 4,380,435,791 and an IRR of 34.28%. Moreover, the installation significantly reduces carbon emissions by 2775.513 tons. This research underscores the practicality and environmental benefits of adopting solar energy in university campuses.
Optimization of Electricity Supply in East Nusa Tenggara Through Communal Solar Power Plants: A Case Study of Kupang City Using PVSyst Fahmy Rinanda Saputri; Indra Hadi Prasetya; Agie Maliki Akbar
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5294

Abstract

Certain regions in Indonesia face challenges related to inadequate electricity supply. To address this, it is essential to model and simulate potential solutions before implementation. This study focuses on optimizing electricity provision to resolve a 4 MW deficit in Kupang, East Nusa Tenggara, particularly at night, through the development of a communal Solar Power Plant. PVsyst software is used for analysis to determine the most economical and optimal solar system configuration. The Oelnasi site, selected for its solar radiation levels, land availability, and proximity to the grid, will house 17,411 solar panels covering 28,360 m², with 196 inverters. The system will generate 4.005 kWp of PV power, with a maximum DC power of 3.583 kWDC, and an AC power of 2.940 kWAC. Simulation results indicate that the Oelnasi Solar Power Plant can supply stable nighttime electricity and reduce CO2 emissions by approximately 7,200 tons annually.
Co-Authors Fahmy Rinanda Saputri Indra Hadi Prasetya Vanesa Lorent