A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time
Maritime transport is responsible for producing a considerable amount of environmental pollution due to the reliance of ports and ships on the carbon-based energy sources. With the increasing trend towards port electrification to reduce carbon emissions, the operation of ports will be increasingly r...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
|
| Series: | Cleaner Logistics and Supply Chain |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772390924000064 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846159136396410880 |
|---|---|
| author | Ilias Sarantakos Saman Nikkhah Meltem Peker Annabel Bowkett Timur Sayfutdinov Arman Alahyari Charalampos Patsios John Mangan Adib Allahham Eleni Bougioukou Alan Murphy Kayvan Pazouki |
| author_facet | Ilias Sarantakos Saman Nikkhah Meltem Peker Annabel Bowkett Timur Sayfutdinov Arman Alahyari Charalampos Patsios John Mangan Adib Allahham Eleni Bougioukou Alan Murphy Kayvan Pazouki |
| author_sort | Ilias Sarantakos |
| collection | DOAJ |
| description | Maritime transport is responsible for producing a considerable amount of environmental pollution due to the reliance of ports and ships on the carbon-based energy sources. With the increasing trend towards port electrification to reduce carbon emissions, the operation of ports will be increasingly relying on the electricity network. This interconnection creates multiple challenges due to the complexity of power flow in the port network, uncertainty of vessel arrival time and fluctuation of power generation of renewable energy sources. These uncertainties can lead to an overload in electricity networks and delays in cargo-handling activities, resulting in increased vessel handling times and environmental emissions. This paper presents a joint logistics-electric framework for optimal operation and power management of electrified ports, considering multiple uncertainties in the arrival time of vessels, network demand, and renewable power generation. An optimal power flow method is developed for a real-life port, with consideration for multiple port logistic assets such as cargo handling equipment, reefers, and renewable energy sources. The proposed model ensures feasible port operation for all uncertainty realisations defined by robust optimisation, while minimising operational costs. Simulation results demonstrate that the probability of a network constraint violation can be as high as 70% for an electrified major UK port if the uncertainty in the port operation is neglected, presenting an unacceptable risk of disruption to port activities. Furthermore, such uncertainty can cause 150% increase in emissions if the ships use their auxiliary engine instead of using shore power. The numerical study shows that such challenges can be handled by a 0.3% increase in the robustness in face of uncertainty, while the cost increase in the worst case does not exceed 4.7%. This shows the effectiveness of the proposed method enhancing robustness against uncertainty at the minimum cost. |
| format | Article |
| id | doaj-art-d5314bb9718d4d1d9f72a4ff5823d87d |
| institution | Kabale University |
| issn | 2772-3909 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Logistics and Supply Chain |
| spelling | doaj-art-d5314bb9718d4d1d9f72a4ff5823d87d2024-11-24T04:14:27ZengElsevierCleaner Logistics and Supply Chain2772-39092024-03-0110100144A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival timeIlias Sarantakos0Saman Nikkhah1Meltem Peker2Annabel Bowkett3Timur Sayfutdinov4Arman Alahyari5Charalampos Patsios6John Mangan7Adib Allahham8Eleni Bougioukou9Alan Murphy10Kayvan Pazouki11School of Engineering, Newcastle University, Newcastle upon Tyne, United KingdomSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom; Corresponding author.Department of Industrial Engineering, Bilkent University, Ankara, TurkeySchool of Engineering, Newcastle University, Newcastle upon Tyne, United KingdomSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, ChinaSchool of Engineering, Newcastle University, Newcastle upon Tyne, United KingdomSchool of Engineering, Newcastle University, Newcastle upon Tyne, United KingdomSchool of Engineering, Newcastle University, Newcastle upon Tyne, United KingdomFaculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, United KingdomPort of Tyne, Maritime House, Tyne Dock, South Shields Newcastle upon Tyne, United KingdomSchool of Engineering, Newcastle University, Newcastle upon Tyne, United KingdomSchool of Engineering, Newcastle University, Newcastle upon Tyne, United KingdomMaritime transport is responsible for producing a considerable amount of environmental pollution due to the reliance of ports and ships on the carbon-based energy sources. With the increasing trend towards port electrification to reduce carbon emissions, the operation of ports will be increasingly relying on the electricity network. This interconnection creates multiple challenges due to the complexity of power flow in the port network, uncertainty of vessel arrival time and fluctuation of power generation of renewable energy sources. These uncertainties can lead to an overload in electricity networks and delays in cargo-handling activities, resulting in increased vessel handling times and environmental emissions. This paper presents a joint logistics-electric framework for optimal operation and power management of electrified ports, considering multiple uncertainties in the arrival time of vessels, network demand, and renewable power generation. An optimal power flow method is developed for a real-life port, with consideration for multiple port logistic assets such as cargo handling equipment, reefers, and renewable energy sources. The proposed model ensures feasible port operation for all uncertainty realisations defined by robust optimisation, while minimising operational costs. Simulation results demonstrate that the probability of a network constraint violation can be as high as 70% for an electrified major UK port if the uncertainty in the port operation is neglected, presenting an unacceptable risk of disruption to port activities. Furthermore, such uncertainty can cause 150% increase in emissions if the ships use their auxiliary engine instead of using shore power. The numerical study shows that such challenges can be handled by a 0.3% increase in the robustness in face of uncertainty, while the cost increase in the worst case does not exceed 4.7%. This shows the effectiveness of the proposed method enhancing robustness against uncertainty at the minimum cost.http://www.sciencedirect.com/science/article/pii/S2772390924000064Port electrificationRobust optimisationLogistic-electric operationUncertainty |
| spellingShingle | Ilias Sarantakos Saman Nikkhah Meltem Peker Annabel Bowkett Timur Sayfutdinov Arman Alahyari Charalampos Patsios John Mangan Adib Allahham Eleni Bougioukou Alan Murphy Kayvan Pazouki A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time Cleaner Logistics and Supply Chain Port electrification Robust optimisation Logistic-electric operation Uncertainty |
| title | A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time |
| title_full | A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time |
| title_fullStr | A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time |
| title_full_unstemmed | A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time |
| title_short | A robust Logistics-Electric framework for optimal power management of electrified ports under uncertain vessel arrival time |
| title_sort | robust logistics electric framework for optimal power management of electrified ports under uncertain vessel arrival time |
| topic | Port electrification Robust optimisation Logistic-electric operation Uncertainty |
| url | http://www.sciencedirect.com/science/article/pii/S2772390924000064 |
| work_keys_str_mv | AT iliassarantakos arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT samannikkhah arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT meltempeker arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT annabelbowkett arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT timursayfutdinov arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT armanalahyari arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT charalampospatsios arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT johnmangan arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT adiballahham arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT elenibougioukou arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT alanmurphy arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT kayvanpazouki arobustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT iliassarantakos robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT samannikkhah robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT meltempeker robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT annabelbowkett robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT timursayfutdinov robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT armanalahyari robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT charalampospatsios robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT johnmangan robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT adiballahham robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT elenibougioukou robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT alanmurphy robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime AT kayvanpazouki robustlogisticselectricframeworkforoptimalpowermanagementofelectrifiedportsunderuncertainvesselarrivaltime |