Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System

Nur Najihah Abu Bakar; Josep M. Guerrero; Najmeh Bazmohammadi; Juan C. Vasquez

doi:10.1109/PECon54459.2022.9988964

Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System

Nur Najihah Abu Bakar, Josep M. Guerrero, Najmeh Bazmohammadi, Juan C. Vasquez

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

Abstract

Port emissions can be considerably reduced with the execution of maritime electrification. This paper studies the optimal berth allocation problem (BAP) combined with an onshore power supply known as cold ironing in response to the growing interest in maritime electrification. The problem is formulated as a mixed integer linear programming (MILP) optimization problem to reduce the total processing time, including the ship's handling and waiting time at the port. The findings from simulation analyses indicate that scheduling ships staying at the berth terminal with a cold ironing service results in a longer waiting time compared to the case without a cold ironing system. However, optimal berth allocation considering shoreside power supply greatly reduces the NOx, SO2, CO2, and PM pollution by 97.7%, 96.7%, 38.4%, and 92.1% respectively.

Original language	English
Title of host publication	2022 IEEE International Conference on Power and Energy : Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022
Number of pages	6
Publisher	IEEE
Publication date	2022
Pages	263-268
ISBN (Electronic)	9781665409902
DOIs	https://doi.org/10.1109/PECon54459.2022.9988964
Publication status	Published - 2022
Event	9th IEEE International Conference on Power and Energy, PECon 2022 - Langkawi, Kedah, Malaysia Duration: 5 Dec 2022 → 6 Dec 2022

Conference

Conference	9th IEEE International Conference on Power and Energy, PECon 2022
Country/Territory	Malaysia
City	Langkawi, Kedah
Period	05/12/2022 → 06/12/2022

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research work was supported by a Villum Investigator grant (no. 25920) from the Villum Fonden; University Malaysia Perlis (UniMAP); and the Ministry of Education Malaysia.

Publisher Copyright:
© 2022 IEEE.

Keywords

Berth allocation problem (BAP)
cold ironing
electrification
optimization
port management
ship transportation

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10.1109/PECon54459.2022.9988964

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Cite this

Abu Bakar, N. N., Guerrero, J. M., Bazmohammadi, N., & Vasquez, J. C. (2022). Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System. In 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022 (pp. 263-268). IEEE. https://doi.org/10.1109/PECon54459.2022.9988964

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title = "Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System",

abstract = "Port emissions can be considerably reduced with the execution of maritime electrification. This paper studies the optimal berth allocation problem (BAP) combined with an onshore power supply known as cold ironing in response to the growing interest in maritime electrification. The problem is formulated as a mixed integer linear programming (MILP) optimization problem to reduce the total processing time, including the ship's handling and waiting time at the port. The findings from simulation analyses indicate that scheduling ships staying at the berth terminal with a cold ironing service results in a longer waiting time compared to the case without a cold ironing system. However, optimal berth allocation considering shoreside power supply greatly reduces the NOx, SO2, CO2, and PM pollution by 97.7%, 96.7%, 38.4%, and 92.1% respectively.",

keywords = "Berth allocation problem (BAP), cold ironing, electrification, optimization, port management, ship transportation",

author = "{Abu Bakar}, {Nur Najihah} and Guerrero, {Josep M.} and Najmeh Bazmohammadi and Vasquez, {Juan C.}",

note = "Funding Information: ACKNOWLEDGMENT This research work was supported by a Villum Investigator grant (no. 25920) from the Villum Fonden; University Malaysia Perlis (UniMAP); and the Ministry of Education Malaysia. Publisher Copyright: {\textcopyright} 2022 IEEE.; 9th IEEE International Conference on Power and Energy, PECon 2022 ; Conference date: 05-12-2022 Through 06-12-2022",

year = "2022",

doi = "10.1109/PECon54459.2022.9988964",

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booktitle = "2022 IEEE International Conference on Power and Energy",

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}

Abu Bakar, NN , Guerrero, JM , Bazmohammadi, N & Vasquez, JC 2022, Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System. in 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022. IEEE, pp. 263-268, 9th IEEE International Conference on Power and Energy, PECon 2022, Langkawi, Kedah, Malaysia, 05/12/2022. https://doi.org/10.1109/PECon54459.2022.9988964

Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System. / Abu Bakar, Nur Najihah ; Guerrero, Josep M.; Bazmohammadi, Najmeh et al.
2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022. IEEE, 2022. p. 263-268.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System

AU - Abu Bakar, Nur Najihah

AU - Guerrero, Josep M.

AU - Bazmohammadi, Najmeh

AU - Vasquez, Juan C.

N1 - Funding Information: ACKNOWLEDGMENT This research work was supported by a Villum Investigator grant (no. 25920) from the Villum Fonden; University Malaysia Perlis (UniMAP); and the Ministry of Education Malaysia. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - Port emissions can be considerably reduced with the execution of maritime electrification. This paper studies the optimal berth allocation problem (BAP) combined with an onshore power supply known as cold ironing in response to the growing interest in maritime electrification. The problem is formulated as a mixed integer linear programming (MILP) optimization problem to reduce the total processing time, including the ship's handling and waiting time at the port. The findings from simulation analyses indicate that scheduling ships staying at the berth terminal with a cold ironing service results in a longer waiting time compared to the case without a cold ironing system. However, optimal berth allocation considering shoreside power supply greatly reduces the NOx, SO2, CO2, and PM pollution by 97.7%, 96.7%, 38.4%, and 92.1% respectively.

AB - Port emissions can be considerably reduced with the execution of maritime electrification. This paper studies the optimal berth allocation problem (BAP) combined with an onshore power supply known as cold ironing in response to the growing interest in maritime electrification. The problem is formulated as a mixed integer linear programming (MILP) optimization problem to reduce the total processing time, including the ship's handling and waiting time at the port. The findings from simulation analyses indicate that scheduling ships staying at the berth terminal with a cold ironing service results in a longer waiting time compared to the case without a cold ironing system. However, optimal berth allocation considering shoreside power supply greatly reduces the NOx, SO2, CO2, and PM pollution by 97.7%, 96.7%, 38.4%, and 92.1% respectively.

KW - Berth allocation problem (BAP)

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KW - electrification

KW - optimization

KW - port management

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BT - 2022 IEEE International Conference on Power and Energy

PB - IEEE

T2 - 9th IEEE International Conference on Power and Energy, PECon 2022

Y2 - 5 December 2022 through 6 December 2022

ER -

Optimal Berth Allocation in Ports with The Deployment of Shore to Ship Power System

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Keywords

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