STUDY OF HYDROPOWER POTENTIAL USING MERIT HYDRO AND CFSR GLOBAL DATA (CASE STUDY: CITARUM HULU)

• Main Author: Prahitna Wahyudi, Aqsha
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/68935
• Institution: Institut Teknologi Bandung

The Province of Bali dependence on power plants located on the island of Java to fulfill the regional needs is not an encouraging fact, it has the potential to bring Bali into an energy crisis at any time. According to the Ministry of Energy and Mineral Resources, Bali Province received a supply of 350 MW from the Paiton PLTU in East Java. With a hilly regional topography, Bali Island has quite a lot of potential locations to develop hydropower. By using hydropower as an alternative energy source, the island of Bali will also play a role in achieving Indonesia's New Renewable Energy (NRE) mix targets. Based on the 2020 Electricity Statistics, the NRE mix has not yet reached 15%. Meanwhile, the national target for the NRE mix in 2025 is 23%. The high initial investment that needs to be spent in identifying hydropower potential is one of the obstacles to accelerating the development of hydropower. Based on this, this study conducted a study of the potential of hydropower by utilizing global data. The Soil and Water Assessment Tool (SWAT) model can predict discharge in a watershed using global Climate Forecast System Reanalysis (CFSR) input data. To obtain valid results, the CFSR data needs to be corrected with the available observation data. Heads at a location can be traced from Digital Elevation Model (DEM) data sourced from Merit Hydro using a headrace tracking algorithm that minimizes the headloss. Evaluation is carried out on each waterway plan grid so that the minimum ratio of the length of the waterway to the head is obtained. The potential point is determined based on the greatest potential at each interval of 3 Km of river length, where the power potential is a function of the head, discharge, acceleration due to gravity, water density, and system efficiency. SWAT simulation using corrected CFSR data produces a discharge with a Nash Sutcliffe Efficiency (NSE) coefficient that is acceptable but not satisfactory. In other experiments, simulations were also carried out with different variations of global data or with observational data sourced from other discharge stations. However, the most optimal NSE was obtained in the simulation with the corrected CFSR calibrated on the Yeh Empas Celang AWLR. The total hydropower potential obtained in this study reaches 424 MW spread throughout the island of Bali.