A scenario-based integrated battery sizing and power plant scheduling under variable fuel prices and maritime operational profiles
Rattachement africain : nl. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Hybrid power systems are increasingly adopted onboard. Lithium-ion batteries now serve as a viable energy storage solution that enhances fuel efficiency and reduces the operating hours of main power units, thereby reducing operational expenses. However, integrating batteries onboard requires decision-making that accounts for diverse scenarios, including battery chemistry, variations in vessel operational profiles, and fluctuating fuel prices. To address these challenges, this study investigates whether battery sizing and scheduling of the power and energy management system require a scenario-based stochastic decision framework. Specifically, it examines how energy storage requirements are influenced by varying load profiles, whether the optimal battery size and power management strategy are affected by fuel price fluctuations, and how robust the overall strategy remains under operational uncertainties. A deterministic equivalent of a two-stage stochastic decision framework is introduced to incorporate these uncertainties, offering insights into the required battery technology, capacity, and correlated behavior of onboard energy management. Multiple scenarios are applied to a trailing suction hopper dredger, analyzing three load profiles with distinct variations in power demand. With reserve power constraints enforced, the optimal battery capacity remains fixed. However, when these constraints are relaxed, the optimal battery size becomes more sensitive to fuel price changes. In addition, the results showcase reduction in diesel engine operating hours—thereby lowering both fuel consumption and maintenance costs, demonstrating that these operational benefits depend not only on the battery’s size but also on its available throughput, which allows for deeper cycling.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- A scenario-based integrated battery sizing and power plant scheduling under variable fuel prices and maritime operational profiles
- Date Crossref
- 01/10/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Delft University of Technology pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Mechanical Engineering pays non établi dans la noticeUniversité ou école supérieure
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Jan De Nul nv pays non établi dans la noticeInstitution
Delft University of Technology, Faculty of Mechanical Engineering et Jan De Nul nv.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.