DEVELOPMENT OF SUITABILITY AND POTENTIAL POWER MODEL OF SOLAR AND WIND ENERGY IN SOUTHEAST ASIA BASED ON MULTI-MACHINE LEARNING

• Main Author: Christin Nugraheni, Ivani
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/81617
• Institution: Institut Teknologi Bandung

The increase in population in Southeast Asia will result in a two-fold increase in energy demand by 2040. If non-renewable energy is still massively used to meet these needs, it will cause dangerous global negative impacts. Therefore, there is a need for an energy transition to renewable energy to meet energy needs in Southeast Asia. This requires data and information regarding the distribution of potential areas for solar energy and wind energy in Southeast Asia. This research was conducted with the aim of obtaining results in the form of potential suitability and power of solar and wind energy, potential points for solar and wind energy power generation, as well as energy network analysis in Southeast Asia based on remote sensing and machine learning. It is hoped that this research can become an initial study in the management and development of renewable energy. The methodology used is literature study, data processing and analysis. Data processing will be carried out to process areas of potential suitability and power for solar and wind energy, potential points for solar and wind energy power plants, as well as energy network analysis in Southeast Asia. Southeast Asia has high suitability potential for renewable energy development. As much as 30.49% of Southeast Asia has a very high suitability potential for solar energy, and 25.34% of Southeast Asia has a very high suitability potential for wind energy. Apart from that, Southeast Asia also has high power potential for the development of renewable energy. As much as 27.49% of Southeast Asia has very high solar energy potential, and 24.16% of Southeast Asia has very high wind energy potential. Based on the level of suitability and potential of renewable energy power, potential points for renewable energy power generation in Southeast Asia were modeled. There are 256 potential points for solar energy and 90 potential points for wind energy, most of which are in the Philippines, Indonesia, Myanmar and Vietnam. Analysis of the existing electrical energy network shows that the network that has very high suitability and very high power potential for solar energy has a length of 347.50 m (9.82%), and the network that has very high suitability and very high power potential for wind energy has a length of 155.94 m (4.40%). Next, a new network grid analysis was carried out to produce a path from the origin point to the target point in the Myanmar, Kalimantan and Papua regions. 215 paths were formed in Papua, 296 paths in Myanmar, and 155 paths in Kalimantan. This path analysis follows areas with high air pollution, low disaster threat, and close proximity to roads.