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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Main Author: Zalfa Rienetza, Amabel
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
id id-itb.:84881
spelling id-itb.:848812024-08-19T09:26:24ZOCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN Zalfa Rienetza, Amabel Indonesia Final Project Ocean Waves, Binuangeun, Sea State, SWAN (Simulating Wave Nearshore) INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/84881 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. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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.
format Final Project
author Zalfa Rienetza, Amabel
spellingShingle Zalfa Rienetza, Amabel
OCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN
author_facet Zalfa Rienetza, Amabel
author_sort Zalfa Rienetza, Amabel
title OCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN
title_short OCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN
title_full OCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN
title_fullStr OCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN
title_full_unstemmed OCEAN WAVES SIMULATION AT BINUANGEUN WATERS, BANTEN
title_sort ocean waves simulation at binuangeun waters, banten
url https://digilib.itb.ac.id/gdl/view/84881
_version_ 1822998805831745536