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Long-Term Scenarios of Indonesia Power Sector to Achieve Nationally Determined Contribution (NDC) 2060

Author

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  • Satria Putra Kanugrahan

    (PT PLN (Persero), Jakarta 12160, Indonesia)

  • Dzikri Firmansyah Hakam

    (School of Business and Management, Institut Teknologi Bandung, Bandung 40132, Indonesia)

Abstract

This study aims to assess the feasibility of achieving Indonesia’s net-zero emissions target by 2060 through a model of future power generation using renewable energy sources using the Low Emissions Analysis Platform (LEAP) software. There are five projected power generation scenarios in this research: the reference (REF) scenario, the conservative (CON) scenario, the moderate (MOD) scenario, the progressive (PRO) scenario, and the advanced (ADV) scenario. The availability of renewable energy technology differentiates each scenario. The ADV scenario, which utilizes nuclear power and energy storage, achieves the 100% renewable energy target by 2060 at the lowest total cost. However, the costs of CON and MOD are not significantly higher. Indonesia should decommission existing fossil fuel power plants and construct more renewable energy power plants to achieve the net-zero emissions target. Based on the simulation, biomass energy is the least favorable type of energy. Solar becomes an option only when other renewable energies are at their maximum potential capacity. Furthermore, nuclear energy and energy storage is essential for Indonesia to achieve the renewable target.

Suggested Citation

  • Satria Putra Kanugrahan & Dzikri Firmansyah Hakam, 2023. "Long-Term Scenarios of Indonesia Power Sector to Achieve Nationally Determined Contribution (NDC) 2060," Energies, MDPI, vol. 16(12), pages 1-23, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4719-:d:1171215
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    References listed on IDEAS

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    1. Handayani, Kamia & Krozer, Yoram & Filatova, Tatiana, 2019. "From fossil fuels to renewables: An analysis of long-term scenarios considering technological learning," Energy Policy, Elsevier, vol. 127(C), pages 134-146.
    2. Satria Putra Kanugrahan & Dzikri Firmansyah Hakam & Herry Nugraha, 2022. "Techno-Economic Analysis of Indonesia Power Generation Expansion to Achieve Economic Sustainability and Net Zero Carbon 2050," Sustainability, MDPI, vol. 14(15), pages 1-25, July.
    3. Rothwell, Geoffrey & Rust, John, 1997. "On the Optimal Lifetime of Nuclear Power Plants," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(2), pages 195-208, April.
    4. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    5. Handayani, Kamia & Filatova, Tatiana & Krozer, Yoram & Anugrah, Pinto, 2020. "Seeking for a climate change mitigation and adaptation nexus: Analysis of a long-term power system expansion," Applied Energy, Elsevier, vol. 262(C).
    6. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
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