A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimization
In this paper, we present the scheduling problem on a given route where speed optimization under various weather conditions is to be performed. Different approaches for calculating fuel consumption for vessels are introduced with a discussion of how this might influence the speed optimization strate...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Maritime Transport Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666822X23000151 |
| _version_ | 1797405296758358016 |
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| author | Andreas Breivik Ormevik Kjetil Fagerholt Frank Meisel Endre Sandvik |
| author_facet | Andreas Breivik Ormevik Kjetil Fagerholt Frank Meisel Endre Sandvik |
| author_sort | Andreas Breivik Ormevik |
| collection | DOAJ |
| description | In this paper, we present the scheduling problem on a given route where speed optimization under various weather conditions is to be performed. Different approaches for calculating fuel consumption for vessels are introduced with a discussion of how this might influence the speed optimization strategies on predetermined multi-stop routes in a short sea shipping service within offshore logistics. Due to both spatial and temporal changes in weather conditions, fuel consumption as a function of speed becomes time-dependent as a vessel performs its route in varying weather. In our novel approach, the weather impact on fuel consumption for the considered vessels is modeled with a higher level of detail than in previously conducted studies, including both wave direction and wave period as input together with the wave height. We test our approach for optimizing schedules on a large set of routes of different lengths and number of stops, as well as for a set of different weather samples based on historical observations. When comparing the new approach to current industry practice, the computational study reveals on average a 4.5% reduction in fuel consumption across the different routes and weather scenarios. The magnitude of the reduction potential increases for worsening weather conditions. Furthermore, it is demonstrated how the approach commonly used for modeling weather impacts in the literature tends to greatly miscalculate the true cost of performing a voyage in realistic weather conditions. Finally, we discuss how the model fidelity is likely to affect the outcome of the routing decisions at a higher planning level, representing a potential for even further reductions of fuel consumption in various weather conditions. |
| first_indexed | 2024-03-09T03:08:50Z |
| format | Article |
| id | doaj.art-346b60b0297f46d39323c59549e29b11 |
| institution | Directory Open Access Journal |
| issn | 2666-822X |
| language | English |
| last_indexed | 2024-03-09T03:08:50Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Maritime Transport Research |
| spelling | doaj.art-346b60b0297f46d39323c59549e29b112023-12-04T05:24:23ZengElsevierMaritime Transport Research2666-822X2023-12-015100096A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimizationAndreas Breivik Ormevik0Kjetil Fagerholt1Frank Meisel2Endre Sandvik3Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway; Corresponding author.Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, NO-7491 Trondheim, NorwayInstitute for Business Management, Kiel University, Kiel 24098, GermanySINTEF Ocean AS, NO-7052 Trondheim, NorwayIn this paper, we present the scheduling problem on a given route where speed optimization under various weather conditions is to be performed. Different approaches for calculating fuel consumption for vessels are introduced with a discussion of how this might influence the speed optimization strategies on predetermined multi-stop routes in a short sea shipping service within offshore logistics. Due to both spatial and temporal changes in weather conditions, fuel consumption as a function of speed becomes time-dependent as a vessel performs its route in varying weather. In our novel approach, the weather impact on fuel consumption for the considered vessels is modeled with a higher level of detail than in previously conducted studies, including both wave direction and wave period as input together with the wave height. We test our approach for optimizing schedules on a large set of routes of different lengths and number of stops, as well as for a set of different weather samples based on historical observations. When comparing the new approach to current industry practice, the computational study reveals on average a 4.5% reduction in fuel consumption across the different routes and weather scenarios. The magnitude of the reduction potential increases for worsening weather conditions. Furthermore, it is demonstrated how the approach commonly used for modeling weather impacts in the literature tends to greatly miscalculate the true cost of performing a voyage in realistic weather conditions. Finally, we discuss how the model fidelity is likely to affect the outcome of the routing decisions at a higher planning level, representing a potential for even further reductions of fuel consumption in various weather conditions.http://www.sciencedirect.com/science/article/pii/S2666822X23000151Operations researchMaritime logisticsWeather-dependent vessel routingFuel consumption modelingSpeed optimization |
| spellingShingle | Andreas Breivik Ormevik Kjetil Fagerholt Frank Meisel Endre Sandvik A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimization Maritime Transport Research Operations research Maritime logistics Weather-dependent vessel routing Fuel consumption modeling Speed optimization |
| title | A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimization |
| title_full | A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimization |
| title_fullStr | A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimization |
| title_full_unstemmed | A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimization |
| title_short | A high-fidelity approach to modeling weather-dependent fuel consumption on ship routes with speed optimization |
| title_sort | high fidelity approach to modeling weather dependent fuel consumption on ship routes with speed optimization |
| topic | Operations research Maritime logistics Weather-dependent vessel routing Fuel consumption modeling Speed optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2666822X23000151 |
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