#TITLE_ALTERNATIVE#

• Main Author: LUTHFI HARIADI LAKSONO (NIM : 121 05 050);
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/18855
• Institution: Institut Teknologi Bandung

According to data in 2008, the number of Indonesian coal resources was 104,76 billion tons and coal reserves were 20.96 billion tons. From these resources, 21, 8 billion tons was low rank coal (LRC). In order to achieve the Energy Mix target on year 2025, the Government commences the Fast Track 10.000 MW project which is organized by PLN. This project was also built to fulfill deficit domestic electricity needs. By commencing this policy, power plant’s need of LRC will eventually rising. Especially for Fast Track Projects will consume approximately 31.7 million tons per year for 35 steam power plants in all over Indonesia. In this research, 2 scenarios will be held by taking coal mining production capacity into account. The first scenario to run was pessimistic scenario which is based on portion for steam power plant from the whole production capacity of coal mining by taking portion for export and other industry needs into account. And also PLN’s purchase power. The second scenario is only taking account for steam power plant’s portion and export needs with increasing PLN’s purchase power for coal by 15% per year. According to the calculation result, total LRC production from year 2010-2020 was 598.4 million tons of coal. According to pessimistic scenario, this result will give portion for PLTU by 451.5 million tons of coal with purchasable coal by 271.8 million tons. According to optimistic scenario, LRC production estimation to fulfill Fast Track Project’s need was 594.8 million tons in 2010-2020 periods. Meanwhile this Project’s need was 348.9 million tons in 2010-2020 periods. Based on these calculations, purchasable coal was estimated by 330.1 million tons. On the other hand, domestic needs from other industry and domestic needs for MRC and HRC was not taken into account. This should become a caution for further consideration. And besides, the rising base electricity price will cause people to have more payments to consider. The linear programming is applied for both scenarios in order to optimize the LRC supply chain for cement industry based on not only LRC price and transportation cost, but also PLN’s purchase power. The source supply of LRC for cement industry is determined by distance and the transportation method used as well as the production capacity of LRC contractors.