2024/02/01 by Mohamed Abuella, Hadi Fanaee, Abuella, Mohamed +7
Environmental Science · #68T10 #68T45 #Computational Engineering #FOS: Computer and information sciences #Finance #G.3 #I.5.1 #Maritime Transport Emissions and Efficiency #and Science (cs.CE)
paper · pdf · doi:10.48550/arxiv.2402.00698
openalex publication_date 2024/02/01 · openalex created_date 2024/02/03 · openalex updated_date 2026/07/28
Several approaches have been developed for improving the ship energy efficiency, thereby reducing operating costs and ensuring compliance with climate change mitigation regulations. Many of these approaches will heavily depend on measured data from onboard IoT devices, including operational and environmental information, as well as external data sources for additional navigational data. In this paper, we develop a framework that implements time-series analysis techniques to optimize the vessel's speed profile for improving the vessel's energy efficiency. We present a case study involving a real-world data from a passenger vessel that was collected over a span of 15 months in the south of Sweden. The results indicate that the implemented models exhibit a range of outcomes and adaptability across different scenarios. The findings highlight the effectiveness of time-series analysis approach for optimizing vessel voyages within the context of constrained landscapes, as often seen in short-sea shipping.