09 July 2013

Eco-energy

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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