“Cost-Optimal Fuel Utilization, Genset Configuration and Battery Sizing: A Case-Study of a Norwegian Trawler”
Authors: Tor Hennum, Øyvind Kåre Kjerstad and Ann R. Nerheim,Affiliation: NTNU Aalesund
Reference: 2024, Vol 45, No 4, pp. 147-173.
Keywords: Energy Fuel efficiency, Emissions reduction, Maritime fuels energy systems, Mixed-integer linear programming, Optimization
Abstract: The energy transition of the Norwegian ocean-going fishing fleet is challenging since there are few widely available fuel alternatives. Many large fishing vessels stay at sea for long periods between each fuelling. To complete its tasks and have space for the caught fish, an energy system which efficiently utilizes its fuel is required. This work proposes a flexible optimization-based mixed-integer linear programming tool for sizing, scheduling and analysing maritime energy systems consisting of diesel gensets and batteries, which considers both part-load engine efficiency and battery degradation. The tool is applied on a 24-hour data selection from an existing trawler, and the results point to the main fuel savings being enabled by splitting the installed power capacity into smaller gensets that can run independently from each other, and from utilizing a battery system to both reduce the total installed genset capacity to increase their relative loading and by delaying the startup of new gensets. Smaller fuel savings can be achieved from peak shaving of already running gensets. The current application achieves a 7.3% fuel reduction in a cost-efficient manner over the period. It also suggests that a fuel-reducing system might not necessarily be cost-efficient, particularly for energy systems with small batteries.
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DOI: 10.4173/mic.2024.4.4References:
[1] Bunker, S.. (2024). World bunker prices, 2024. https://shipandbunker.com/prices. [Accessed: 28.05.2.
[2] Chapaloglou, S., Nesiadis, A., Iliadis, P., Atsonios, K., Nikolopoulos, N., Grammelis, P., Yiakopoulos, C., Antoniadis, I., and Kakaras, E. (2019). Smart energy management algorithm for load smoothing and peak shaving based on load forecasting of an island’s power system, Applied energy. 238:627--642. Publisher: Elsevier Ltd. doi:10.1016/j.apenergy.2019.01.102
[3] Chapaloglou, S., Varagnolo, D., Marra, F., and Tedeschi, E. (2022). Data-informed scenario generation for statistically stable energy storage sizing in isolated power systems, Journal of energy storage. 51:104311--. Publisher: Elsevier Ltd. doi:10.1016/j.est.2022.104311
[4] Duggal, I. and Venkatesh, B. (2015). Short-term scheduling of thermal generators and battery storage with depth of discharge-based cost model, IEEE transactions on power systems. 30(4):2110--2118. Place: PISCATAWAY Publisher: IEEE. doi:10.1109/TPWRS.2014.2352333
[5] Enova. (2024). Enova gir støtte til utviklingen av miljøvennlig sjøtransport, 2024. https://www.enova.no/bedrift/sjotransport/.
[6] European Commission. (2024). Food-based dietary guidelines recommendations for fish bar knowledge for policy, 2024. https://knowledge4policy.ec.europa.eu/health-promotion-knowledge-gateway/food-based-dietary-guidelines-europe-table-9_en.
[7] Fortenbacher, P., Mathieu, J.L., and Andersson, G. (2017). Modeling and optimal operation of distributed battery storage in low voltage grids, IEEE transactions on power systems. 32(6):4340--4350. Place: PISCATAWAY Publisher: IEEE. doi:10.1109/TPWRS.2017.2682339
[8] Hennum, T. (2021). Data-driven stochastic model predictive control of an isolated microgrid, 2021. https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2828784.
[9] Hennum, T., Kjerstad, O., Nerheim, A.R., Skjong, S., and Ladstein, J. (2023). A modeling and simulation based assessment of switching fuels for a norwegian fishing vessel, In Proceedings of the 37th ECMS International Conference on Modelling and Simulation. pages 394--400. doi:10.7148/2023-0394
[10] Marocco, P., Ferrero, D., Martelli, E., Santarelli, M., and Lanzini, A. (2021). An MILP approach for the optimal design of renewable battery-hydrogen energy systems for off-grid insular communities, Energy conversion and management. 245:114564--. Place: Oxford Publisher: Elsevier Ltd. doi:10.1016/j.enconman.2021.114564
[11] Norges Fiskarlag. (2020). Utslipp skal halveres, 2020. https://fiskarlaget.no/utslipp-skal-halveres/.
[12] Norwegian Directorate of Fisheries. (2024). Fartøyregisteret, 2024. https://www.fiskeridir.no/Yrkesfiske/Registre-og-skjema/Fartoeyregisteret/fartoyregisteret.
[13] Norwegian Directorate of Health. (2024). Kostrådene, 2024. https://www.helsedirektoratet.no/faglige-rad/kostradene-og-naeringsstoffer/kostrad-for-befolkningen.
[14] Norwegian Seafood Council. (2020). Why norwegian wild-caught seafood is sustainable, 2020. https://en.seafood.no/sustainability-articles/why-norwegian-seafood-is-sustainable/.
[15] Skjong, E., Johansen, T.A., MolinasCabrera, M.M., and Sørensen, A.J. (2017). Approaches to economic energy management in diesel-electric marine vessels, IEEE Transactions on Transportation Electrification. Accepted: 2017-09-01T12:58:07Z Publisher: IEEE. doi:10.1109/TTE.2017.2648178
[16] Sustainable Ships. (2024). Cost overview - batteries, 2024. https://www.sustainable-ships.org/key-insights/costs-batteries. [Accessed: 19.05.2.
[17] United Nations. (2021). Agriculture technology for sustainable development: leaving no one behind, 2021.
[18] Vieira, G.T., Pereira, D.F., Taheri, S.I., Khan, K.S., Salles, M.B., Guerrero, J.M., and Carmo, B.S. (2022). Optimized configuration of diesel engine-fuel cell-battery hybrid power systems in a platform supply vessel to reduce CO2 emissions, Energies (Basel). 15(6):2184--. doi:10.3390/en15062184
[19] Wang, Y., Zhou, Z., Botterud, A., Zhang, K., and Ding, Q. (2016). Stochastic coordinated operation of wind and battery energy storage system considering battery degradation, Journal of modern power systems and clean energy. 4(4):581--592. Place: Berlin/Heidelberg, Publisher: Springer Berlin Heidelberg. doi:10.1007/s40565-016-0238-z
[20] Æsøy, L., Piehl, H., and Nerheim, A.R. (2022). System simulation-based feasibility and performance study of alternative fuel concepts for aquaculture wellboats, In Proceedings of the 41st ASME International Conference on Ocean - OMAE2022. American Society of Mechanical Engineers. Book Title: Volume 4: Ocean Space Utilization. doi:10.1115/OMAE2022-81106
BibTeX:
@article{MIC-2024-4-4,
title={{Cost-Optimal Fuel Utilization, Genset Configuration and Battery Sizing: A Case-Study of a Norwegian Trawler}},
author={Hennum, Tor and Kjerstad, Øyvind Kåre and Nerheim, Ann R.},
journal={Modeling, Identification and Control},
volume={45},
number={4},
pages={147--173},
year={2024},
doi={10.4173/mic.2024.4.4},
publisher={Norwegian Society of Automatic Control}
};