COVER Aryo Prawoto Wibowo
PUBLIC Resti Andriani 2018 ARYO PRAWOTO WIBOWO 1-EDITORIAL BOARD.pdf
PUBLIC Resti Andriani 2018 ARYO PRAWOTO WIBOWO 1-TABLE OF CONTENT.pdf
PUBLIC Resti Andriani 2018 ARYO PRAWOTO WIBOWO 1-PAPER.pdf
PUBLIC Resti Andriani
The economic growth of West Kalimantan Province is predicted to increase to 6.246 in 2026 and will affect the
electricity demand in West Kalimantan Province. At present, power plants in West Kalimantan are dominated by
oil-fired power plants. To meet its electricity needs, since 2016 PLN has imported electricity from Sarawak,
Malaysia. This condition is predicted to continue until 2020. To reduce the level of dependence on imported
electricity and to reduce the basic costs of oil-fueled power plants, according to the 2017-2026 RUPTL document,
coal-fired power plants will be built, one of which is the Kalbar-2 PLTU 2x100 MW capacity. However, until
now coal resources in the Province of West Kalimantan are still not mined, so coal needs to be imported from the
Province of South Kalimantan and / or Sumatra Island. Therefore, it is necessary to optimize coal supply from
South Kalimantan and or Sumatra Island to obtain coal needs in accordance with the capacity of the Kalbar-2
PLTU with the minimum coal procurement costs. In addition to fulfilling a sustainable coal supply, scheduling is
needed to supply coal from Kalbar-2 PLTU from coal mine sources. Optimization of coal supply and scheduling
is carried out using the linear program method. In this study, there are 62 types of coal from 25 companies in
South Kalimantan and Sumatra Island which will be selected to supply coal to the Kalbar-2 PLTU. Optimization
is based on two scenarios, namely the blending process as the first scenario and without the blending process as
the second scenario. For the first scenario the coal supply has the following characteristics: Calorie Value 3,440
kcal / kg GAR, Total Moisture 40.884 AR, Total Sulfur 0.334 AR, and Total Ash 7.139c AR. The total coal
reguirement is 28,152,240 tons with coal procurement costs of US $ 645,606,660. Whereas for the second scenario
the optimization results show the supply of coal with a Calorie Value of 5,300 kecal / kg GAR, Total Moisture
3590 AR, Total Sulfur 0.759o AR, and Total Ash 84 AR. The total coal reguirement is 18,284.504 tons with coal
procurement costs of US $ 1,083,174,064.