STATISTICAL ANALYSIS OF THE RELATIONSHIP BETWEEN ENSO PHENOMENON AND WIND ENERGY PRODUCTION POTENTIAL IN EAST NUSA TENGGARA

• Main Author: Pangga Dipa, Arya
• Format: Final Project
• Language: Indonesia
• Subjects: Geologi, hidrologi & meteorologi
• Online Access: https://digilib.itb.ac.id/gdl/view/71820
• Institution: Institut Teknologi Bandung

Wind energy is a form of clean energy that can be used as an alternative to fossil energy used in generation of electricity in Indonesia. In its development, wind energy can be affected by interannual variations such as ENSO which may have an impact on wind speed and the potential energy that can be generated. The impact of ENSO on wind energy may vary depending on the season and location, so it is necessary to carry out an impact analysis to accurately estimate the changes that occur in the potential energy that can be generated. In this study, statistical analysis was carried out involving observational data from four BMKG meteorological stations located in East Nusa Tenggara, MEI v.2 NOAA data which represents changes in ENSO, and NCEP data which respresents changes in pressure that occur in Indonesia. First, wind speed data is extrapolated to a height of 100 m with the Hellman Power Law to estimate the wind speed at a height which a typical wind turbine hub would be. Daily wind speed data and NCEP data are averaged every two months to be used as a composite data that has the same temporal resolution as MEI data. The data then is grouped into three ENSO categories: El Nino, Neutral, and La Nina. Wind speed and pressure data during El Nino and La Nina are then compared with Neutral ENSO data and the changes were analyzed. The results of the statistical analysis of changes in pressure during La Nina and El Nino indicate that there are increases and decreases in pressure gradients that occur in East Nusa Tenggara in certain months. Meanwhile, the wind speed increases and decreases which varies between stations in certain months. In general, both El Nino and La Nina have a positive effect on the annual average power potential of the four stations.