Probability of Risk Factors Affecting Small-Scale LNG Supply Chain Activities in the Indonesian Archipelago
Autor(en): |
Rossy Armyn Machfudiyanto
(Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia)
Windra Priatna Humang (Research Center for Transportation Technology, National Research and Innovation Agency, Tangerang Selatan 15314, Indonesia) Nurul Wahjuningsih (Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Bandung 40132, Indonesia) Insannul Kamil (Department of Industrial Engineering, Faculty of Engineering, University of Andalas, Kampus Limau, Padang 25163, Indonesia) Yanuar Yudha Adi Putra (Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Infrastructures, April 2023, n. 4, v. 8 |
Seite(n): | 74 |
DOI: | 10.3390/infrastructures8040074 |
Abstrakt: |
In Indonesia, the CoS for power supply increased from Rp. 1025 to Rp. 1334/KWh from 2016 to 2021, respectively; this indicates an inefficient process in electricity provision. One contributing factor to this inefficiency is the existence of many high speed diesel (HSD)-fueled power plants. These are distributed across the Indonesian archipelago with a supply chain that only uses sea transportation. The absence of an economical small-scale LNG (SS-LNG) supply chain also demonstrates the inadequate infrastructure for distributing LNG to refineries. This study aims to analyze the probability of risks that occur in SS-LNG supply chains in the Indonesian archipelago. The analytical methods used are descriptive statistical analysis and Delphi analysis through in-depth interviews and Focus Group Discussions (FGD) with experts. Results showed that the SS-LNG supply chain process in Indonesia includes LNG loading, unloading, shipping, picking, storage, regasification, and distribution. There are 30 risk indicators that may occur, with the highest risks including ship accidents, equipment damage, lack of transport ships, bad weather, earthquakes, tsunami, poor safety cultures, and low levels of safety leadership. These risk indicators can be used in implementing SS-LNG. |
Copyright: | © 2023 the Authors. Licensee MDPI, Basel, Switzerland. |
Lizenz: | Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden. |
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10722697 - Veröffentlicht am:
22.04.2023 - Geändert am:
10.05.2023