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dc.contributor.advisorSeminar, Kudang Boro
dc.contributor.advisorNelwan, Leopold Oscar
dc.contributor.authorMuhajir, Mohammad Aftaf
dc.date.accessioned2022-05-27T08:30:30Z
dc.date.available2022-05-27T08:30:30Z
dc.date.issued2022-05-27
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/111864
dc.description.abstractOvercoming the crisis of energy supply and avoiding the impact of environmental damage caused by global warming, it needs new alternative energy sources and renewable and more environmentally friendly. Utilization and development of renewable energy is becoming increasingly important given the increasingly limited sources of fossil energy or non renewable energy sources. Through Presidential Regulation No. 5 of 2006 on National Energy Policy, the government has attempted to draw up a national energy management strategy from 2006 to 2025, which states that national energy supply must be fulfilled with 17% renewable energy. It states clearly how the role of renewable energy in the future. New and renewable energy forms available in Indonesia are geothermal, hydro power, biomass, solar energy and marine energy. The Indonesian archipelago lies on one of the most active tectonic plates in the world, located between the Indo-Australian, Pacific, Philippine and Eurasian tectonic plates. This strategic position makes Indonesia the richest country with geothermal energy spread over 285 area points along the volcanic arc with a total potential of 29,215 GWe (Ministry of ESDM 2012). This study intends to determine geothermal potential energy using remote sensing and geographic information system (GIS) analysis. The method used was calculating Radiative Heat Flux (RHF) using land surface temperature (LST) and vegetation index with NDVI method from infrared bands, the NDVI results then classified to determine the emissivity value. Lineament extraction retrieve from geologic map used to get the fault and fracture density (FFD). Weighted overlay using Analytic Hierarchy Process (AHP) used to get the distribution of potential geothermal area, with LST, FFD, NDVI, and distance from surface manifestation as a parameter. Result shows, nine geothermal anomalies areas were successfully extracted as surface manifestation, 15.02 km2 identified as high potential geothermal area with energy estimation 141.56 MWid
dc.language.isoen_USid
dc.publisherIPB Universityid
dc.titleEstimating Potential Geothermal Energy Using Satellite Imageryid
dc.typeThesisid
dc.subject.keywordGeothermal anomaliesid
dc.subject.keywordLandsat 8id
dc.subject.keywordASTER TIRid
dc.subject.keywordRHFid
dc.subject.keywordLSTid


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