Husin Nugraha
Pusat Sumber Daya Mineral Batubara dan Panas Bumi

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PERKIRAAN ULANG CADANGAN MUNGKIN PANAS BUMI TEMPERATUR MENENGAH DI INDONESIA: MEDIUM TEMPERATURE GEOTHERMAL POSSIBLE RESERVE REASSESSMENT IN INDONESIA Husin Nugraha; Rina Wahyuningsih; Tony Rahadinata
Buletin Sumber Daya Geologi Vol. 17 No. 3 (2022): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v17i3.366

Abstract

Accurate information about the value and characteristics of geothermal energy resources and reserves is needed in planning appropriate energy policies to optimize the utilization of geothermal resources in Indonesia. In addition, differences in the results of calculating geothermal energy resources and/or reserves by developers and the government cause the economic calculations of geothermal development projects in particular prospect area to also be different. This study performs a recalculation of geothermal medium temperature resources category by replacing the assumptions of several parameters with the assumptions of best practice parameters used in several literatures. The five parameters are thermal calculations contained in the fluid, final reservoir temperature, water saturation, electricity conversion factor and generating capacity factor. The results of this recalculation resulted in a geothermal resource value that was different from the results of the Geological Agency's calculations. The percentage difference between the calculations of the Geological Agency and this study indicates a strong correlation with reservoir temperature as shown by the R2 value of 85%. This strong correlation indicates that there is a systematic difference, which is suspected because in the Geology Agency's calculations it is assumed that there is a change in the water phase from the liquid phase to the vapor phase. The results of recalculation using the correlation equation with the reservoir temperature as an input resulted in the value of geothermal resources reduction by 27% or 940 MWe from the results of the Geological Agency's calculations. The recalculation result of medium temperature geothermal resources which previously reached 3,482 MWe reduced to a total of 2,541 MWe.
ANALISIS ANOMALI LAND SURFACE TEMPERATURE MENGGUNAKAN CITRA SATELIT LANDSAT 8 UNTUK IDENTIFIKASI PROSPEK PANAS BUMI GUNUNG SIRUNG DI KABUPATEN ALOR, PROVINSI NUSA TENGGARA TIMUR: ANALYSIS OF ANOMALY LAND SURFACE TEMPERATURE USING LANDSAT 8 SATELLITE IMAGERY TO IDENTIFY GEOTHERMAL PROSPECT OF MOUNT SIRUNG IN ALOR REGENCY, EAST NUSA TENGGARA PROVINCE Annisha Bunga Fathya; Husin Nugraha; Alvira Gusti Ranti; Rina Wahyuningsih
Buletin Sumber Daya Geologi Vol. 18 No. 1 (2023): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v18i1.367

Abstract

High anomaly analysis of Land Surface Temperature (LST) on Landsat 8 imagery is a remote sensing method to detect the presence of geothermal prospects. This analysis is carried out through the presence of ground surface temperature anomalies. This study aims to identify the indication of Mount Sirung geothermal prospect in Alor Regency, East Nusa Tenggara Province through high LST anomaly analysis which is useful for determining more specific areas for field survey locations. The research method used is LST with a single-channel algorithm using Landsat 8 imagery and determination of high temperature indications based on LST anomalies with natural breaks classification, percentiles, and classical statistics. The Thermal Infrared Sensor (TIRS) band of Landsat 8 imagery could be a cheap and fast alternative for estimating land surface temperature analysis using the LST anomaly determination method which is useful for determining the boundaries of geothermal prospect indication areas prior to field surveys. This is evidenced by the suitability between the LST high anomaly area and the geothermal prospect area resulting from a field survey. The classification method for determining anomaly values ​​using the natural break and percentile approaches is better than the Classic Statistics approach (mean + 2 Standard Deviation) because the natural breaks and percentile approaches are more robust to the shape of the data distribution, therefore the resulting high anomaly areas becomes detailed and specific.