Economic Analysis for Using Solar Energy Implementation to Support the Development of Nusantara Capital

The dynamic simulation model for economic analysis of solar energy in the new Indonesia's capital named IKN is a computer system designed to evaluate the viability of solar energy as a power source in the new capital being developed in East Kalimantan. The model aims to assess the economic feasibility of solar energy implementation, addressing cost-effectiveness. Strategies include policy enforcement, land optimization, and population growth impacts. The model's validation showed an error rate ‰¤ 5% and error variance ‰¤ 30%, confirming its accuracy. Scenario simulations (most likely, pessimistic, and optimistic) forecasted varying returns on investment (ROI), indicating solar energy's profitability under different conditions. The optimistic scenario predicted the highest ROI of 42% by 2045, with a break-even point by 2026.

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Publication Details

Journal
Journal of Renewable Energy Electrical and Computer Engineering
Published
2024-10-09
DOI
https://doi.org/10.29103/jreece.v4i2.16470
Primary Topic
Energy and Environment Impacts
Type
article
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article

Economic Analysis for Using Solar Energy Implementation to Support the Development of Nusantara Capital

Erma Suryani, Rahmatika Jagad Pramundito, Muhammad Syamil Fadlillah
Journal of Renewable Energy Electrical and Computer Engineering
Energy and Environment Impacts
article

Economic Analysis for Using Solar Energy Implementation to Support the Development of Nusantara Capital

Erma Suryani, Rahmatika Jagad Pramundito, Muhammad Syamil Fadlillah
article en

Abstract

The dynamic simulation model for economic analysis of solar energy in the new Indonesia's capital named IKN is a computer system designed to evaluate the viability of solar energy as a power source in the new capital being developed in East Kalimantan. The model aims to assess the economic feasibility of solar energy implementation, addressing cost-effectiveness. Strategies include policy enforcement, land optimization, and population growth impacts. The model's validation showed an error rate ‰¤ 5% and error variance ‰¤ 30%, confirming its accuracy. Scenario simulations (most likely, pessimistic, and optimistic) forecasted varying returns on investment (ROI), indicating solar energy's profitability under different conditions. The optimistic scenario predicted the highest ROI of 42% by 2045, with a break-even point by 2026.

Journal of Renewable Energy Electrical and Computer EngineeringVol. 4(2)
Openalex Percentile: Top 83%
Energy and Environment Impacts
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Economic Analysis for Using Solar Energy Implementation to Support the Development of Nusantara Capital — Erma Suryani, Rahmatika Jagad Pramundito, et al. · Journal of Renewable Energy Electrical and Computer Engineering (2024) | TGRS Research Map | TGRS