OCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN
High waves that oftenly generated by winds and tropical cyclones, pose a significant threat to Indonesia's coastal regions. While waves pose a risk of coastal hazards, they also hold immense potential for renewable energy source. This study aims to analyse the wave characteristics in the...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84881 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | High waves that oftenly generated by winds and tropical cyclones, pose a
significant threat to Indonesia's coastal regions. While waves pose a risk of coastal
hazards, they also hold immense potential for renewable energy source. This study
aims to analyse the wave characteristics in the southern Banten waters, particularly
in Binuangeun, an area with high wave potential identified in 2020. The analysis
focuses on wave spectra, wind sea and swell probabilities, and sea state. A wave
model Simulating Wave Nearshore (SWAN) software was utilized to conduct the
study with wind data, bathymetry, and open boundary wave data as input
parameters. The simulation commenced with a regional domain and then refined
its resolution to a local domain using nested and unstructured grids. The model
generated data on wind speed and direction, wave height and direction, and wave
spectra with spatial and temporal variations. The model results show that wind
patterns followed Indonesia's monsoon winds, and wave height patterns exhibited
a northward trend, with the maximum height recorded in July, reaching nearly 4
meters. Waves in this region were primarily dominated by swell, with swell
occurrence probabilities exceeding 90% every month. The highest energy intensity
values were observed for periods exceeding 10 seconds. Sea state characteristics
assessed at Pulau Deli indicated that the maximum wave height occurred in July
with most frequent wave occurrence probabilities 3 – 3.25 meters and 10 – 10.5
seconds, with the distribution percentages of 10.21%. This study provides valuable
insights for wave energy potential utilization in this region. |
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