MAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY
In accordance with government regulations laid down in PP No.79 Tahun 2014 on the National Energy Policy, new and renewable energy targets in Indonesia by 2025 are at least 23% and 31% by 2050. To meet the targets of new energy sources in Indonesia, studies on the mapping of Wind Power Plant (WPP) a...
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id-itb.:806002024-02-07T14:16:42ZMAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY Pebnaldy Indonesia Theses Wind Energy Resources, Wind Power Plant, Levelised Cost of Electricity, Wind Turbine. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/80600 In accordance with government regulations laid down in PP No.79 Tahun 2014 on the National Energy Policy, new and renewable energy targets in Indonesia by 2025 are at least 23% and 31% by 2050. To meet the targets of new energy sources in Indonesia, studies on the mapping of Wind Power Plant (WPP) at coastal and offshore locations in Indonesia need to be carried out. In the development of WPP there are some challenges especially in the economic aspects. Therefore, an economic analysis of the Levelised Cost of Electricity (LCOE) is required to measure the minimum price of electricity that can be produced from WPP. The estimated LCOE is calculated using costs in 2023 with a service life of 25 years and a discount rate of 10%. In this Thesis use several wind farm capacities of 75 MW, 50 MW, 25 MW, and 5 MW. In the calculation of CAPEX and OPEX use some empirical and analytical equations that from previous research. It is known that the locations with the lowest LCOE are located on South Papua Province for wind farm capacity 75 MW and 50 MW, then on Maluku Province for wind farm capacity 25 MW and 5 MW with LCOE for each wind farm capacity of 0.066 USD / kWh or 1000 Rupiah / kWh (75 MW), 0.067 USD / kWh or 1025 Rupiah / kWh (50 MW), 0.068 USD / Kwh or 1040 Rupiah / kWh (25 MW), and 0.076 USD / kWh or 1163 Rupiah / kWh (5 MW). After that, in addition to calculating LCOE for the entire sea location in Indonesia, the analysis also compared the ranking of locations based on the resource or wind speed with the LCOE. From the results of the comparison, it can also be concluded that places with the highest wind speed do not necessarily produce the lowest LCOE or Highest Revenue. text |
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In accordance with government regulations laid down in PP No.79 Tahun 2014 on the National Energy Policy, new and renewable energy targets in Indonesia by 2025 are at least 23% and 31% by 2050. To meet the targets of new energy sources in Indonesia, studies on the mapping of Wind Power Plant (WPP) at coastal and offshore locations in Indonesia need to be carried out. In the development of WPP there are some challenges especially in the economic aspects. Therefore, an economic analysis of the Levelised Cost of Electricity (LCOE) is required to measure the minimum price of electricity that can be produced from WPP. The estimated LCOE is calculated using costs in 2023 with a service life of 25 years and a discount rate of 10%. In this Thesis use several wind farm capacities of 75 MW, 50 MW, 25 MW, and 5 MW. In the calculation of CAPEX and OPEX use some empirical and analytical equations that from previous research. It is known that the locations with the lowest LCOE are located on South Papua Province for wind farm capacity 75 MW and 50 MW, then on Maluku Province for wind farm capacity 25 MW and 5 MW with LCOE for each wind farm capacity of 0.066 USD / kWh or 1000 Rupiah / kWh (75 MW), 0.067 USD / kWh or 1025 Rupiah / kWh (50 MW), 0.068 USD / Kwh or 1040 Rupiah / kWh (25 MW), and 0.076 USD / kWh or 1163 Rupiah / kWh (5 MW). After that, in addition to calculating LCOE for the entire sea location in Indonesia, the analysis also compared the ranking of locations based on the resource or wind speed with the LCOE. From the results of the comparison, it can also be concluded that places with the highest wind speed do not necessarily produce the lowest LCOE or Highest Revenue.
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Pebnaldy MAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY |
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Pebnaldy |
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Pebnaldy |
title |
MAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY |
title_short |
MAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY |
title_full |
MAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY |
title_fullStr |
MAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY |
title_full_unstemmed |
MAPPING OF THE POTENTIAL OFFSHORE AND SHORE WIND POWER PLANT IN INDONESIA BASED ON LEVELISED COST OF ELECTRICITY |
title_sort |
mapping of the potential offshore and shore wind power plant in indonesia based on levelised cost of electricity |
url |
https://digilib.itb.ac.id/gdl/view/80600 |
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