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Charles O. P. Marpaung
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Economy-wide CO2 Emission Reduction Due to Carbon Tax in the Power Sector: A Structural Decomposition Analysis Charles O. P. Marpaung; Ram M. Shresta
International Journal of Smart Grid and Sustainable Energy Technologies Vol 1 No 1 (2017): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (76.763 KB) | DOI: 10.36040/ijsgset.v1i1.182

Abstract

In this paper, a structural decomposition analysis based on an input-output framework has been developed to examine the factors, which affect the economy-wide CO2 emission changes due to the introduction of carbon tax in the Indonesian power sector during 2011-2030. There are three major components that affect the total economy-wide change in CO2 emissions, i.e., fuel mix-, structural-, and final demand- effects. The results show that, the CO2 mitigation under the carbon tax of US$200/tC would be 20.5 times higher than that with the carbon tax rate of US$5/tC. The fuel mix effect is found to be most influential in reducing the CO2 emission during the planning horizon under all of the carbon tax rates considered and is followed by the final demand- and structural-effects.
Structural Decomposition Analysis of CO2 Emission Reduction due to Energy Tax in Power Sector Planning. Charles O. P. Marpaung; Ram M. Shresta
International Journal of Smart Grid and Sustainable Energy Technologies Vol 1 No 2 (2017): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.098 KB) | DOI: 10.36040/ijsgset.v1i2.208

Abstract

This study analyses the CO2 emission implications of considering energy tax in power sector planning for the case of Indonesia. There are four energy tax rates considered in this study i.e. US$0.5/MBtu, US$1.0/MBtu, US$2.0/MBtu and US$5/MBtu. Furthermore, this study also analyses the decomposition of the economy-wide CO2 emission changes due to the carbon tax rates by using an input-output model. The implications of energy tax on utility planning would bring the sytem more efficient because more energy efficient technology power plants, such as CCGT, would be selected, while in the case of environmental implications, CO2 emissions would be reduced. The results show that there is a significant change in the annual CO2 emissions if energy tax rate of US$5/MBtu is introduced. There are three major components that affect the total economy-wide change in CO2 emissions, i.e., fuel mix-, structural-, and final demand- effects. The results show that the fuel mix effect is found to be most influential in reducing the CO2 emission during the planning horizon under all of the energy tax rates considered and is followed by the final demand- and structural-effects.
Risk Assessment of Power Generated from a Wind Turbine in Different Climate Cities in Indonesia. Irvan Lumban Gaol; Charles O. P. Marpaung
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (709.123 KB) | DOI: 10.36040/ijsgset.v2i1.223

Abstract

In this paper, a risk analysis based on Monte Carlo Simulation has been used to examine the power generated from a wind turbine. There are five cities are selected based on the wind speed to be examined the power density generated from the wind turbine. The cities are Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak. Among the five cities, Kupang has the highest wind speed, while Pontianak has the lowest wind speed. In this study, the wind speed is assumed to be an unspecified parameter or a random variable. The Monte Carlo Simulation is run by using a software @RISK. The results show that the mean of power density generated from the wind turbine is found 171.23, 113.97, 71.28, 28.67, and 12.49 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively. The width of the confidence interval with the level of probability 90% is 110.30, 75.00, 69.10, 19.64, and 7.34 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively. The upper bound of the confidence intervals are 230.1, 154.7, 113.3, 39.27, and 16.30 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively, while the lower bounds are 119.8, 79.7, 44.2, and 19.63 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively. The probability of the power density will exceed the upper bound or will below the lower bound is 5%.
Techno-Economic Analysis of a Microgrid System To Increase Electricity Access in Rural Areas. Sunario Manalu; Charles O. P. Marpaung
International Journal of Smart Grid and Sustainable Energy Technologies Vol 3 No 2 (2019): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (767.689 KB) | DOI: 10.36040/ijsgset.v3i2.1262

Abstract

This study analyses the technical and economic performances of a microgrid system which is used to increase the electricity access in a rural area – Hutajulu village, Parmonangan district, North Tapanuli district, Indonesia. There are two types of power distributed generator used in the microgrid system, i.e., diesel generator and solar PV, and there are 20 houses in the village to be supplied electricity by the microgrid system. The results show that the generator would operate 3.754 hours per year and would supply electricity to the houses 2,456 kWh/year during the planning horizon (25 years). The levelized cost of electricity (LCOE) of the diesel generator would be US₵10.7/kWh, and the capacity factor of the diesel generator would be 14%. The average electrical efficiency of the diesel generator is found 27.2%. In case of the solar PV installed in the microgrid system, the operating hour of the solar PV during the planning horizon would be 4,426 hours/year and supplies electricity to the houses 2,153 kWh/year. The levelized cost of electricity of the solar PV would be US₵7.92/kWh.
Co-Authors Irvan Lumban Gaol Ram M. Shresta Sunario Manalu