LNG bunkering infrastructure planning at port
Ships are traditionally powered by fossil fuels such as heavy fuel oil (HFO) and marine diesel oil (MDO), where the emissions, such as particulates, hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOX) and carbon dioxide (CO2), negatively affect the environment and human health. The Intern...
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sg-ntu-dr.10356-1797212024-08-23T15:33:36Z LNG bunkering infrastructure planning at port Guo, Yu Yan, Ran Qi, Jingwen Liu, Yannick Wang, S. Zhen, Lu School of Civil and Environmental Engineering Business and Management Maritime transportation Vessel fuel Ships are traditionally powered by fossil fuels such as heavy fuel oil (HFO) and marine diesel oil (MDO), where the emissions, such as particulates, hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOX) and carbon dioxide (CO2), negatively affect the environment and human health. The International Maritime Organization (IMO) encourages shipping companies to use liquefied natural gas (LNG), which is a green fuel source to power shipping activities and is easy to store, to replace traditional marine fuels. There are three common methods of LNG bunkering: ship-to-ship, truck-to-ship, and port-to-ship. The objective of this study is to determine the optimal bunkering method at a port using an integer linear programming (ILP) model considering three kinds of costs: fixed, variable, and extra. To find the optimal bunkering method, the three methods and their related constraints are modeled into the ILP model. The results indicate that ship-to-ship is the optimal bunkering method for LNG under the scenario of the port considered. Numerical experiments are conducted to validate model performance and generate managerial insights. Published version This study is supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Number 15202019). 2024-08-19T08:12:03Z 2024-08-19T08:12:03Z 2024 Journal Article Guo, Y., Yan, R., Qi, J., Liu, Y., Wang, S. & Zhen, L. (2024). LNG bunkering infrastructure planning at port. Multimodal Transportation, 3(2), 100134-. https://dx.doi.org/10.1016/j.multra.2024.100134 2772-5863 https://hdl.handle.net/10356/179721 10.1016/j.multra.2024.100134 2-s2.0-85190986565 2 3 100134 en Multimodal Transportation © 2024 The Authors. Published by Elsevier Ltd on behalf of Southeast University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf |
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Business and Management Maritime transportation Vessel fuel Guo, Yu Yan, Ran Qi, Jingwen Liu, Yannick Wang, S. Zhen, Lu LNG bunkering infrastructure planning at port |
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Ships are traditionally powered by fossil fuels such as heavy fuel oil (HFO) and marine diesel oil (MDO), where the emissions, such as particulates, hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOX) and carbon dioxide (CO2), negatively affect the environment and human health. The International Maritime Organization (IMO) encourages shipping companies to use liquefied natural gas (LNG), which is a green fuel source to power shipping activities and is easy to store, to replace traditional marine fuels. There are three common methods of LNG bunkering: ship-to-ship, truck-to-ship, and port-to-ship. The objective of this study is to determine the optimal bunkering method at a port using an integer linear programming (ILP) model considering three kinds of costs: fixed, variable, and extra. To find the optimal bunkering method, the three methods and their related constraints are modeled into the ILP model. The results indicate that ship-to-ship is the optimal bunkering method for LNG under the scenario of the port considered. Numerical experiments are conducted to validate model performance and generate managerial insights. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Guo, Yu Yan, Ran Qi, Jingwen Liu, Yannick Wang, S. Zhen, Lu |
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Article |
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Guo, Yu Yan, Ran Qi, Jingwen Liu, Yannick Wang, S. Zhen, Lu |
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Guo, Yu |
title |
LNG bunkering infrastructure planning at port |
title_short |
LNG bunkering infrastructure planning at port |
title_full |
LNG bunkering infrastructure planning at port |
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LNG bunkering infrastructure planning at port |
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LNG bunkering infrastructure planning at port |
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lng bunkering infrastructure planning at port |
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2024 |
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https://hdl.handle.net/10356/179721 |
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