Onshore
Sea Wave Power Station: Site Selection in Gunungkidul, Yogyakarta through
Remote Sensing and GIS Analysis
1 Andika Putri Firdausy, 2 Azzadiva Ravi Sawungrana,3 Ima Rahmawati
1 Faculty of Geography, Gadjah Mada University
2Faculty of Geography, Gadjah Mada University
3Faculty of Geography, Gadjah Mada University
Abstract. 65.5:8.5 is the
consumption ratio of fossil energy and clean energy in Indonesia with 389.43
million metric tons carbon emission in 2010 (WDI & GDF 2013). It is an
irony because Indonesia is one of the lungs of the world and Indonesia has so
many alternative energies such as sea wave energy that has zero emission.
Indonesia needs to develop this kind of energy because Indonesia has great
length of shore and the one of the greatest shore for sea wave energy is
Gunungkidul’s shore. That potential place needs to be developed by quick and
right technique to know suitability of on shore sea wave energy power station
placement. Remote sensing technique that integrated with Geographic Information
System is an effective way to get information of sea wave energy placement
suitability. Landsat Satellite image 30 m spatial resolution used to find out
shore morphology. Bathymetric map can give sea water depth and shore tilt
information by interpolate every height point. Shore slope data is used to
identify the wave type of the shore. Wind data interpolation in every measure
point gives information about wind speed and wind direction. Matching method is
used against parameter of shore morphology, sea water depth, shore slope, wave
type, wind speed, and wind direction as the early rating and basic of land
suitability identification for onshore sea wave power station site selection.
Land suitability level is divided to very suitable (S1), quite suitable (S2),
marginal suitable (S3), and not suitable (N). Based from identification result
with matching method could be known suitability level of onshore sea wave power
station placement so that can produce optimal energy.
Keywords: Eco-energy, Sea wave power station, Matching, Site
Selection
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