Posted: August 14th, 2022

Applications of Big Data Analytics in Improving Vessel Performance and Reducing Emissions

Applications of Big Data Analytics in Improving Vessel Performance and Reducing Emissions

Big data analytics is the process of collecting, processing, and analyzing large and complex datasets to extract useful insights and support decision making. Big data analytics has been widely applied in various industries, such as healthcare, finance, education, and transportation. In the maritime industry, big data analytics can help improve vessel performance and reduce emissions by enabling ship owners, operators, and managers to optimize various aspects of their operations, such as design, maintenance, routing, speed, fuel consumption, and environmental compliance.

One of the main applications of big data analytics in the maritime industry is vessel performance optimization. Vessel performance optimization is the process of improving the efficiency and effectiveness of a vessel’s operation by monitoring and analyzing various parameters, such as speed, power, trim, draft, weather, sea state, cargo load, and fuel quality. By using big data analytics, ship owners and operators can identify the optimal settings for these parameters to achieve the best performance for a given voyage or mission. For example, big data analytics can help determine the optimal speed for a vessel to minimize fuel consumption and emissions while meeting the schedule and safety requirements. Big data analytics can also help detect and diagnose any anomalies or faults in the vessel’s equipment or systems that may affect its performance or reliability.

Another application of big data analytics in the maritime industry is emission reduction. Emission reduction is the process of minimizing the amount of harmful substances that are released into the air or water by a vessel’s operation. These substances include carbon dioxide (CO2), nitrogen oxides (NOx), sulfur oxides (SOx), particulate matter (PM), and greenhouse gases (GHG). By using big data analytics, ship owners and operators can monitor and measure their vessel’s emissions and compare them with the regulatory standards or targets. Big data analytics can also help identify the sources and causes of excessive emissions and suggest possible solutions or alternatives to reduce them. For example, big data analytics can help select the most suitable fuel type or quality for a vessel to lower its emissions or recommend the best route or time to avoid sailing in emission control areas (ECAs).

Big data analytics in the maritime industry relies on various sources of data that are collected from different sensors and systems on board the vessel or from external sources, such as satellites, weather stations, ports, terminals, or other vessels. These data are then stored and processed in a centralized platform or system that can integrate and analyze them using advanced techniques, such as machine learning, artificial intelligence, or data mining. The results of the analysis are then presented in a user-friendly format or interface that can provide actionable insights and recommendations to the ship owners, operators, or managers.

Some examples of platforms or systems that use big data analytics to improve vessel performance and reduce emissions are:

– Marine Digital: A platform that provides key uses of big data in shipping and logistics, such as energy saving operation, fleet planning, service planning, design optimization, technical management, chartering, etc.
– Wartsila: A platform that provides expert advice on seven benefits of data in improving vessel performance, such as ensuring compliance, increasing visibility, enhancing flexibility, reducing costs, improving safety, boosting sustainability, and creating value.
– Trelleborg: A platform that provides an overview of big data in the maritime industry today and its future outlook.
– MDPI: A platform that provides an example of designing a vessel data lakehouse with big data and AI analysis for vessel management system (VMS).

References:

: Marine Digital. (2022). Big Data in Maritime: How a shipping company can effectively use data. Retrieved from https://marine-digital.com/article_bigdata_in_maritime
: Wartsila. (2023). Expert advice: 7 benefits of data in improving vessel performance. Retrieved from https://www.wartsila.com/insights/article/expert-insight-7-benefits-of-data-in-improving-vessel-performance
: Trelleborg. (2021). The use of big data in thesis writing help the maritime industry. Retrieved from https://www.trelleborg.com/marine-and-infrastructure/~/media/marine-systems/resources/whitepapers-and-barometer-reports/downloads/tms_smartport_insightbee_report.pdf?la=en
: Lee et al. (2023). Design of Vessel Data Lakehouse with Big Data and AI Analysis for Vessel Management System (VMS). Electronics 12(8), 1943. Retrieved from https://www.mdpi.com/2079-9292/12/8/1943

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