OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA

Ocean wave energy is one of the ORE (Ocean Renewable Energies) sources, which potential, in which this energy has several advantages over fossil energy and being one of the most researched energy in developed countries nowadays. One of the efforts for mapping ORE potential is by computing energy pot...

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Main Authors: Z. A. Nadzir, L. A. Karondia, L. M. Jaelani, A. Sulaiman, A. Pamungkas, E. S. Koenhardono, A. Sulisetyono
Format: Article
Language:English
Published: Copernicus Publications 2015-10-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W4/91/2015/isprsarchives-XL-2-W4-91-2015.pdf
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spelling doaj-a2db495af906493eb461ca2a2761e8912020-11-24T22:01:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-10-01XL-2-W4919410.5194/isprsarchives-XL-2-W4-91-2015OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURAZ. A. Nadzir0L. A. Karondia1L. M. Jaelani2A. Sulaiman3A. Pamungkas4E. S. Koenhardono5A. Sulisetyono6Dept. of Geomatics Engineering, Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, IndonesiaDept. of Geomatics Engineering, Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, IndonesiaDept. of Geomatics Engineering, Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, IndonesiaPusat Teknologi dan Inventarisasi Sumber Daya Alam (PTISDA), Badan Pengkajian dan Penerapan Teknologi (BPPT), 8th MH Thamrin Street, Jakarta, 10340 IndonesiaDept. of Urban and Regional Planning, Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, IndonesiaDept. of Marine Engineering, Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, IndonesiaDept. of Naval Architecture and Shipbuilding Engineering, Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, IndonesiaOcean wave energy is one of the ORE (Ocean Renewable Energies) sources, which potential, in which this energy has several advantages over fossil energy and being one of the most researched energy in developed countries nowadays. One of the efforts for mapping ORE potential is by computing energy potential generated from ocean wave, symbolized by Watt per area unit using various methods of observation. SAR (Synthetic Aperture Radar) is one of the hyped and most developed Remote Sensing method used to monitor and map the ocean wave energy potential effectively and fast. SAR imagery processing can be accomplished not only in remote sensing data applications, but using Matrices processing application as well such as MATLAB that utilizing Fast Fourier Transform and Band-Pass Filtering methods undergoing Pre-Processing stage. In this research, the processing and energy estimation from ALOSPALSAR satellite imagery acquired on the 5/12/2009 was accomplished using 2 methods (i.e Magnitude and Wavelength). This resulted in 9 potential locations of ocean wave energy between 0-228 W/m2, and 7 potential locations with ranged value between 182-1317 W/m2. After getting through buffering process with value of 2 km (to facilitate the construction of power plant installation), 9 sites of location were estimated to be the most potential location of ocean wave energy generation in the ocean with average depth of 8.058 m and annual wind speed of 6.553 knot.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W4/91/2015/isprsarchives-XL-2-W4-91-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Z. A. Nadzir
L. A. Karondia
L. M. Jaelani
A. Sulaiman
A. Pamungkas
E. S. Koenhardono
A. Sulisetyono
spellingShingle Z. A. Nadzir
L. A. Karondia
L. M. Jaelani
A. Sulaiman
A. Pamungkas
E. S. Koenhardono
A. Sulisetyono
OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet Z. A. Nadzir
L. A. Karondia
L. M. Jaelani
A. Sulaiman
A. Pamungkas
E. S. Koenhardono
A. Sulisetyono
author_sort Z. A. Nadzir
title OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA
title_short OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA
title_full OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA
title_fullStr OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA
title_full_unstemmed OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA
title_sort ocean wave energy estimation using active satellite imagery as a solution of energy scarce in indonesia case study: poteran island’s water, madura
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2015-10-01
description Ocean wave energy is one of the ORE (Ocean Renewable Energies) sources, which potential, in which this energy has several advantages over fossil energy and being one of the most researched energy in developed countries nowadays. One of the efforts for mapping ORE potential is by computing energy potential generated from ocean wave, symbolized by Watt per area unit using various methods of observation. SAR (Synthetic Aperture Radar) is one of the hyped and most developed Remote Sensing method used to monitor and map the ocean wave energy potential effectively and fast. SAR imagery processing can be accomplished not only in remote sensing data applications, but using Matrices processing application as well such as MATLAB that utilizing Fast Fourier Transform and Band-Pass Filtering methods undergoing Pre-Processing stage. In this research, the processing and energy estimation from ALOSPALSAR satellite imagery acquired on the 5/12/2009 was accomplished using 2 methods (i.e Magnitude and Wavelength). This resulted in 9 potential locations of ocean wave energy between 0-228 W/m2, and 7 potential locations with ranged value between 182-1317 W/m2. After getting through buffering process with value of 2 km (to facilitate the construction of power plant installation), 9 sites of location were estimated to be the most potential location of ocean wave energy generation in the ocean with average depth of 8.058 m and annual wind speed of 6.553 knot.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W4/91/2015/isprsarchives-XL-2-W4-91-2015.pdf
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