Selection over small-scale LNG transportation model in designing an efficient and reliable LNG supply chain using analytical network process

Purwosaputra, A A; Artana, Ketut Buda; Dinariyana, A. A. B.

doi:10.1007/s40868-022-00115-0

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…An analysis was performed considering economic and ecological dimensions, and it was found that the combined distribution mode was the most sustainable for German ports. Purwosaputra et al 203 developed an analytical network process (ANP) model for selecting the SSLNG transportation mode for Indonesia, considering four different modes of marine transportation using cost, technical, operational, and safety-based selection criteria.…”

Section: Decision Support Formentioning

confidence: 99%

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Srinivasan,

Singh,

Deshpande

et al. 2024

Ind. Eng. Chem. Res.

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Even as global economies shift away from a fossil-based energy mix to renewables, in many countries, the share of natural gas (NG) in their energy baskets is increasing. As the cleaner option among fossil fuels and given its widespread availability at scale, NG is expected to play a dominant role as the bridge fuel during the energy transition. NG is traded globally under cryogenic conditions as liquefied natural gas (LNG). The LNG supply chain comprises LNG exports, maritime transportation, imports, regasification, and distribution to various end users. This work provides a comprehensive review of the scientific advancements related to the overall LNG supply chain. In the last two decades, major developments have occurred in terminal modeling; process and energy optimization; safety, risk, and consequence assessments; and supply chain (SC) optimization. Our review reveals that the management of boil-off gas continues to be a core challenge, as reflected in the broad range of studies to model, control, and optimize this aspect. We conclude our review with insights on opportunities for future research, including SC resilience and operational efficiency. Finally, new-generation fuels such as hydrogen and its carriers are also often handled under cryogenic conditions. Therefore, research on their SCs should be informed by the literature on LNG SCs.

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Section: Decision Support Formentioning

confidence: 99%

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Srinivasan,

Singh,

Deshpande

et al. 2024

Ind. Eng. Chem. Res.

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show abstract

“…The calculations of ANP are more realistic. Moreover, ANP is an MCDA method capable of providing consistency verification, so it is also able to observe the interdependencies between all elements involved in the process [16]. The application of the ANP model is more accurate and comprehensive in the weighting process of the LNG storage tank leakage assessment model.…”

Section: The Analytic Network Processmentioning

confidence: 99%

“…Additionally, the model compensated for the defects of randomness and fuzziness in the previous evaluation of regional water environment carrying capacity. In addition to the above, the ANP model was also applied to the design of the LNG supply chain by Purwosaputra et al [16], aiding the selection of the least costly transport model.…”

Section: Introductionmentioning

confidence: 99%

Analysis of LNG Storage Tank Safety: A Comprehensive Model Approach with ANP and Normal Cloud

2022

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Global energy shortages continue in the post-epidemic era. As clean primary energy, LNG plays an important role in the energy structure adjustment. However, with the widespread use of LNG, storage tank leaks occur frequently. In order to highlight the risk status of critical risk areas of LNG tank leakage, the “Five-high” risk system for the LNG industry, with high-risk locations, high-risk equipment, high-risk processes, high-risk personnel, and high-risk substances as first-level elements, was built. Combined with the Analytic Network Process (ANP) and normal cloud model for quantitative analysis, a safety risk analysis and assessment model for LNG storage tanks based on the ANP-normal cloud model was developed. Safety analysis was conducted with the example of an LNG storage tank area of a factory. The results show that the risk level for LNG tank leakage is level IV, with high-risk equipment being the first-level element with the highest weight and risk. The reliability of the comprehensive model was verified by AHP and fuzzy integrated analysis, and the results were basically consistent with the factory safety evaluation report. The study realizes the quantitative and visual analysis considering the correlation of risk elements and provides a new quantitative method for the safety analysis of LNG energy.

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Monitoring the State of Vehicles with Dangerous Goods in Cyber-Physical Systems

Soldatov

2023

Studies in Systems, Decision and Control

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Selection over small-scale LNG transportation model in designing an efficient and reliable LNG supply chain using analytical network process

Cited by 3 publications

References 8 publications

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Analysis of LNG Storage Tank Safety: A Comprehensive Model Approach with ANP and Normal Cloud

Monitoring the State of Vehicles with Dangerous Goods in Cyber-Physical Systems

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