Sustainable development of the Kamojang geothermal field

Suryadarma,; Dwikorianto, Tavip; Zuhro, Agus A.; Yani, Ahmad

doi:10.1016/j.geothermics.2010.09.006

Cited by 26 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is very high decreased mass during very high production. We do not know the actual production in this period, but we estimated the average production will be about 13 Mt/year (Sofyan et al, 2009;Suryadarma et al, 2010). If the production rate in this period is guessed about 13 Mt/year and injection rate is stable at 2 Mt/year, then the natural recharge is about 2.76 Mt/year.…”

Section: -2010mentioning

confidence: 99%

Mass variation in outcome to high production activity in Kamojang Geothermal Field, Indonesia: A reservoir monitoring with relative and absolute gravimetry

et al. 2011

View full text Add to dashboard Cite

Section: -2010mentioning

confidence: 99%

Mass variation in outcome to high production activity in Kamojang Geothermal Field, Indonesia: A reservoir monitoring with relative and absolute gravimetry

et al. 2011

View full text Add to dashboard Cite

“…The target relates to Indonesia's geothermal potential of 28,000 MW [7]. Currently, 12 power plants have been built in Indonesia, with Kamojang developing 235 MW, Sarulla developing 330 MW [8], and WayangWindu developing 227 MW [8], [9]. While there are 20 geothermal sources in the northernmost region of Sumatra, Aceh Province, there are no geothermal power plants [10].…”

Section: Introductionmentioning

confidence: 99%

Geothermal reservoir depth of Seulawah Agam volcano estimated from 1D magnetotelluric

et al. 2022

View full text Add to dashboard Cite

SeulawahAgam has planned to construct a geothermal power plant with an estimated 275 MW by the government to replace fossil energy. This study used a magnetotelluric (MT) survey to investigate the primary geothermal system, such as heat sources, reservoirs, or faults, which are responsible for regulating the surface manifestation. The regional volcano and fault of the Seulimum segments were traversed by 26 MT stations. The 1D Inversion was conducted toward the overall MT data using the Occam inversion algorithm from IP2Win MT. This Inversion was performed to acquire characteristics of the geothermal system based on resistivity parameters against the depth. The 1D model distribution was combined and converted into pseudo 2D, which could depict the subsurface conditions. Based on the data analysis, the cross-section model revealed that the volcanic sediment layer near the surface had a resistivity of 57–98 Ωm. In the depth of 4–8 km in profile one, and 0.2–2 km, in profile 2, coverage of clay cap rocks was found with impermeable properties, where the resistivity was low (<10 Ωm). Afterward, the reservoir layer was characterized by resistivity ranging from 94 to 188 Ωm located at 1–3 km depth, where this anomaly could be seen across all measuring tracks. Meanwhile, the region beneath the reservoir was estimated to be a heat source with a depth range of 2–5 km, as evidenced by a high resistivity of more than >1000 Ωm. The pseudo-2D results could provide an initial model of SeulawahAgam’s geothermal system.

show abstract

“…Indonesia lays at the confluence of three plates, Indo-Australia, Eurasia, and the Pacific, makes the region the third largest volcanic area in the world, reaching up to 30% (Bogie et al, 2008;Suryadarma et al, 2010). This condition allows a large amount of geothermal energy to be stored in Indonesia, which is predicted to be 29 GW from 331 geothermal sites.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Heat Flux Energy in the Northernmost Part of Sumatra Volcano Using Landsat 8 and Meteorological Data

Yanis

Zaini

Novari

et al. 2022

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

Geothermal energy, as a part of green and renewable energy, has been widely developed in the world to replace the current conventional fossil energy. Peut Sagoe is an active volcano in the northern part of Sumatra. The volcanic mountain has not been completely explored for geothermal and energy reserves study. This is due to the volcano locates in a high topography and surrounded by dense tropical forest, which makes it challenging to deploy geophysical instruments in the area. The Landsat 8 thermal infrared and meteorological data from 2013 – 2020 were used to estimate the energy resources by calculating the radiative heat flux (RHF) and measuring the energy lost annually through the heat discharge rate (HDR). We also used the normalized differential vegetation index (NDVI) for vegetation analysis, and estimation of its emissivity data. The mono-window algorithm was used to calculate the land surface temperature (LST). The Stefan–Boltzmann equation was utilized to analyze thermal infrared data for RHF, and ambient temperature and relative humidity data were acquired from the Indonesian Meteorological Agency (BMKG) database. The results showed that low vegetation values and high LST of 25°C–35°C were found in crater areas, which indicate the underground thermal activities of the mountain. It demonstrates that the maximum RHF values were 55 W/m2 in 2013 and 37 W/m2 in 2020. The HDR data were calculated by applying 15% of the RHF data, and the amounts of energy lost were 132.5 MWe and 64.5 MWe in 2013 and 2015 respectively. It increased to 186.4 MWe in 2017 and 89 MWe in 2020. Based on these predicted results, we conclude that the combination of thermal infrared imagery of Landsat 8 and meteorological data is an effective approach in estimating geothermal energy potential and energy loss of volcanoes situated in remote areas

show abstract

Sustainable development of the Kamojang geothermal field

Cited by 26 publications

References 2 publications

Mass variation in outcome to high production activity in Kamojang Geothermal Field, Indonesia: A reservoir monitoring with relative and absolute gravimetry

Mass variation in outcome to high production activity in Kamojang Geothermal Field, Indonesia: A reservoir monitoring with relative and absolute gravimetry

Geothermal reservoir depth of Seulawah Agam volcano estimated from 1D magnetotelluric

Monitoring of Heat Flux Energy in the Northernmost Part of Sumatra Volcano Using Landsat 8 and Meteorological Data

Contact Info

Product

Resources

About