Bimantoro, Bagas (2021) Perencanaan Rantai Pasok Gas Alam Untuk Pemenuhan Kebutuhan Energi Di Ibu Kota Negara Baru. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Permintaan energi di Pulau Kalimantan diprediksi akan meningkat segera setelah status Pulau Kalimantan ditetapkan sebagai lokasi ibu kota baru Indonesia. Dengan diterapkannya filosofi pembangunan ibu kota oleh pemerintah, pemenuhan kebutuhan energi diharuskan menggunakan sumber energi rendah karbon dan ramah lingkungan. Oleh karena itu, diperlukan sumber energi yang lebih ramah lingkungan, dimana gas alam dipilih karena rendah emisi dan tersedia dalam jumlah besar di Pulau Kalimantan. Dalam penelitian ini akan dilakukan kajian untuk menentukan besar kebutuhan gas alam, moda transportasi gas alam dari sumber gas ke ibu kota dan optimasi moda transportasi terpilih. Penentuan kebutuhan gas alam dilakukan dengan simulasi menggunakan software LEAP (Long-range Energy Alternatives Planning system). Penentuan jenis moda transportasi dan metode distribusi menggunakan metode Analytical Hierarchy Process (AHP). Sedangkan Optimasi dalam penelitian ini dianalisa menggunakan metode Minimum Spanning Tree (MST) dengan Algoritma Kruskal. Hasil penelitian didapatkan bahwa kebutuhan gas alam sebesar sebesar 4.238,26 MMSCF pada tahun 2025, 23.039,14 MMSCF pada tahun 2035 dan 53.390,37 MMSCF di tahun 2045. Hasil analisa AHP menunjukkan bahwa sistem perpipaan gas terpilih menjadi moda pengiriman gas alam ke ibu kota dengan total bobot 0,666. Hasil optimasi sistem perpipaan gas menghasilkan panjang pipa minimum untuk wilayah Sepaku sepanjang 31,15 km, Samboja sepanjang 85,11 km dan Muara Jawa sepanjang 24,92 km. Total biaya investasi yang diperlukan kurang lebih sebesar US$ 148.239.000.
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Energy demand on the island of Kalimantan is predicted to increase as soon as the status of Kalimantan Island is determined as the location of the new capital city of Indonesia. With the application of the philosophy of capital city development by the government, supply of energy demand is required to use low-carbon and environmentally friendly energy sources. Therefore, a more environmentally friendly energy source is needed, where natural gas is chosen because it is low in emissions and available in large quantities on the island of Kalimantan. In this research, the study will be conducted to determine the amount of natural gas demand, the mode of transportation of natural gas from the gas source to the capital city and the optimization of the selected transportation mode. Determination of natural gas demand carried out by simulation using LEAP (Long-range Energy Alternatives Planning system) software. Determination of the type of transportation mode and distribution method used the Analytical Hierarchy Process (AHP). While the optimization in this study analyzed using the Minimum Spanning Tree (MST) method with Kruskal's Algorithm. The results showed that natural gas demand was 4,238.26 MMSCF in 2025, 23,039.14 MMSCF in 2035 and 53,390.37 MMSCF in 2045. AHP analysis results showed that the gas piping system was chosen as the mode of delivery of natural gas to the capital city, with a total weight of 0.666. The results of the optimization of the gas piping system resulted in the minimum pipe length for the Sepaku area of 31.15 km, Samboja 85.11 km and Muara Jawa 24.92 km. The total investment cost required is approximately US$ 148.239.000.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | City Gas, Ibu Kota Negara, Minimum Spanning Tree, Analytical Hierarchy Process |
| Subjects: | T Technology > T Technology (General) > T174 Technological forecasting T Technology > T Technology (General) > T58.62 Decision support systems T Technology > TN Mining engineering. Metallurgy > TN880.5 Natural gas pipelines |
| Divisions: | Faculty of Marine Technology (MARTECH) > Marine Engineering > 36101-(S2) Master Theses |
| Depositing User: | Bagas Bimantoro |
| Date Deposited: | 05 Mar 2021 03:57 |
| Last Modified: | 17 Jul 2024 01:32 |
| URI: | http://repository.its.ac.id/id/eprint/83518 |
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