Generating hydrogen from renewable energy sources is widely recognized as an effective strategy for addressing critical challenges in the energy sector while contributing to the reduction of greenhouse gas emissions. This study aims to assess the wind energy potential for electricity and hydrogen production in five locations on Sumba Island using 10 years (2011–2020) of data from the NASA's POWER Project. A wind variability assessment was performed on five wind turbines ranging from 500 kW to 1.5 MW and using electrolysis technology. The results indicated a hydrogen production potential of 25–57 tons per year. Economic analysis of hydrogen production for Haharu reveals an attractive internal rate of return (IRR) of 43% with a payback period (PBP) of 2.25 years and a net present value (NPV) of 1.3 MM USD, the levelized cost of electricity (LCOE) of 0.0241 USD/kWh, and the levelized cost of Hydrogen (LCOH) of 1.01 USD/kg. Sensitivity analysis underscores the critical influence of investment and revenue on project profitability, highlighting their substantial impact on determining a project's success or failure. These findings emphasize the potential of Sumba Island as a hub for sustainable energy production to meet the growing demand for clean and renewable energy sources.

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A long-term electricity demand forecasting on the West Kalimantan electricity system using the Simple-E program (from Japan) has been researched, with the study period of 2021 - 2050. Projection of electricity demand growth is conducted by using 3 scenarios, namely: Basic Scenario (Business as Usual (BaU)) where this scenario uses the econometric regression analysis methods; Industrialization Scenario where this scenario uses Basic Scenario (BaU) with added in the plan for the development of industries in West Kalimantan; and Prosperity Scenario where it takes into account the electricity consumption targets per capita in National Energy Policy (Kebijakan Energi Nasional, KEN). The result of the Basic Scenario for electricity demand projection in 2021 is predicted to reach around 3.02 TWh and projected to increase to reach around 15 TWh in 2050. Meanwhile, under Industrialization Scenario, the Basic Scenario (BaU) projection results are injected or added with the electricity demand from industrial and business sectors planned to be developed in West Kalimantan. The projection of electricity demand based on the Industrialization Scenario in 2021 is predicted to reach around 3.02 TWh and projected to increase to reach around 18.7 TWh in 2050. The Prosperity Scenario considers the electricity consumption targets per capita stated in the Energy National Policy (KEN). KEN mandates the electricity consumption per capita for Indonesia of 2,500 kWh/capita in 2025 and 7,000 kWh/capita in 2050. Based on this consideration, the Prosperity Scenario projection of electrical energy demand shows that it rises from initially at around 3.86 TWh in 2021 to reach around 30.1 TWh in 2050. Based on that three scenarios, the projection of electrical energy demand using the Prosperity Scenario is higher than the BaU and Industrialization scenarios. Using the Prosperity Scenario, electrical energy demand in 2050 also reaches twice based on BaU Scenario. This result is due to considering the electricity consumption target per capita, which is relatively high following the target in KEN. Under Industrialization Scenario, the injection of electrical energy demand in the industrial sector causes a jump in electrical energy demand in 2025, exceeding the Prosperity Scenario caused by the presence of some industrial zones targeted to start operation in that year.@en

Indonesia has a target of achieving 23% of renewable energy share in the total energy mix in 2025. However, Indonesia does not have accurate and comprehensive data on renewable energy potentials, especially wind energy. This article aims to assess the theoretical potential of wind speed and to visualize the wind speed by province for the entire Indonesia. Our assessment relied on the Weather Research and Forecasting (WRF) model using Four-Dimensional Data Assimilation technique, also known as Nudging Newtonian relaxation. The robustness of our analysis is confirmed by using high-resolution data from the National Centers for Environmental Prediction-Final (NCEP - FNL) and Cross-Calibrated Multi-Platform (CCMP) Reanalysis satellite data. This study shows the WRF method is a feasible option to estimate wind speed data.@en

Indonesia aims to decarbonize the energy sector by accelerating the use of new and renewable energy, expected to reach 31% of total energy supply in 2050. One of important tools to achieve the target is renewable energy potential maps including hydro energy potential maps. Yet, existing hydro energy potential maps have several weaknesses such as sites coordinate not on the river network. This study aims to update and to improve the run-off river system energy hydro maps by using a novel method considering multiple factors that are head values, discharge river, gravity, and the efficiency of the hydro system. In calculating the head value, we use DEM data from SRTM 1 arc second to estimate difference between upstream and downstream elevations. We also did Q90 modeling using WFLOW software as generate the discharge value. In the end, we verified the maps by using field measurement data in 776 sites from previous study. As a result, we estimate the total potential of hydro energy with the run-off river system in Indonesia reaches 94,627 MW distributed in 52,566 sites.@en