Visit our Research & Development section to read the original paper published by Ömer Harun Özkernak and Gönül Tuğrul İçemer of the Azdeniz University in Antalya, Turkey.
Bilge water waste poses an environmental risk for humans and marine creatures by causing cancer and developmental disorders due to the toxic substances. This study aims to create a calculation method to calculate the amount of bilge that a ship can produce. The number of ships and the amount of bilge water that they have given the port waste reception facilities in the past years were collected to prevent marine pollution caused by ships in the Gulf of Antalya.
The amount of possible future bilge water discharge in the gulf was estimated by using the collected data by linear regression method. The risk distribution of the amount of bilge water that a ship can produce was determined with the data obtained by the Monte Carlo method for the first time in this study. As a result, although the number of ships in the gulf will decrease in number, it is predicted that the amount of bilge water discharge and the needs of a waste receptions facility will increase in the coming years.
In June 2021, we announced FleetMon’s Innovation Lab, bundling all our Research & Development projects. There’s something new coming out of the Lab:
Around a year ago, we started a pilot project in collaboration with Julius Marine, a local producer of buoys and fairway lighting. The project aims to develop a modular, autonomous AIS station that runs in locations without a power supply or a stable internet connection. In addition to an AIS receiving antenna, the station also contains a variety of measuring sensors. It works autonomously, enabled by two solar panels that supply the powerful battery and the Global System for Mobile Communication (GSM) module for data transmission with energy. This means that the weatherproof station can operate outside all year round to receive ship position data and other measurement data. Servicing the autonomous AIS station is not necessary.
Guest article by Julia Sokolova, a researcher at the Arctic and Antarctic Research Institute in Saint Petersburg:
Nowadays, shipping companies working in the Russian Arctic, as well as the Russian Government, are actively discussing the possibility of expanding the navigation window in the Northern Sea Route (NSR). Several reasons contributed to this discussion.
Firstly, many studies show a stable tendency of ice cover decrease in the Arctic Ocean, intensified during the last decade. Secondly, modern shipbuilding allows designing vessels of high ice class. Last but not least, remote sensing data helps to reduce time costs for navigation in sea ice.
Since 2017, experimental voyages of LNG carriers through the NSR have been carried out during very early or very late dates. Comprehensive information about vessel movement, power engine work, along with reports on the ice conditions, allows assessing the efficiency of the chosen route and gives a more detailed picture of the ice situation along the entire NSR.
FleetMon kindly provided AIS data to the Arctic and Antarctic Research Institute (AARI). The data helped our researchers to study the motion of LNG carriers Christophe de Margerie, Nikolay Yevgenov and Nikolay Zubov performing their late voyages during the polar winter in 2021.
In March 2020, the Technical University Berlin and five representatives of the port industry started the funded research project SELECT. The acronym “SELECT” stands for “Smarte Entscheidungsassistenz für Logistikketten der Binnenschifffahrt durch ETA-Prognosen” (engl.: “Smart decision-making assistance for logistics chains in inland shipping through ETA forecasts”). FleetMon has been chosen as the official AIS data provider.
The aim of the project is to develop an IT system for port operators and shipping companies that automatically and dynamically predicts the transport processes of inland vessels and thus their arrival times (ETA) at inland and seaports. The digital decision assistant is intended to enable the parties to take suitable actions in relation to the expected arrival time. It considers the entire logistical process flow. Reducing the vessel transit/travel times as well as increasing the handling capacities in inland ports are other important goals.
The research partners are supported by the BMVI (Federal Ministry of Transport and Digital Infrastructure) and receive funds amounting to around one million euros.
Additionally, FleetMon’s data have been used for the teaching course “Supply Chain Analytics” at the Technical University Berlin related to the SELECT project. Visit our Research & Development section to know more about the student case studies in the field of inland vessel ETA predictions.
We support students and researchers by offering access to the FleetMon API Suite and our extensive AIS Data Archive with historical vessel position and port call data. Read this guest article we received by Niklas Scherer, a master’s degree student of the University of Applied Sciences in Bingen, Germany.
The academic project investigates a correlation between specific weather conditions a vessel was exposed to and occurring cargo damage. AIS data and weather data were used to examine if certain weather conditions on maritime high-traffic lanes are likely to cause damage to freight in order to prevent damage by realistic forecasting.
Kiel, May 6th, 2021: On Thursday, the Institute for the World Economy presented a new, AI-based leading indicator for international trade based on real-time data from global container shipping. On the basis of up to 250,000 continuously collected data points from up to 200,000 position data and up to 50,000 additional data on inlets and outlets, supplied by FleetMon, the Kiel scientists offer continuous monitoring of imports and exports of the largest economies China, Europe, and the USA.
FleetMon supports ETH researchers to find the answer.
Fighting climate change demands action in all sectors. International shipping faces the challenge of long lifetimes of vessels compared to other modes of transportation. Decisions on energy carriers and propulsion technologies that are made now have a long-lasting impact on the emissions of the sector.
A research group at the Institute of Energy Technology at ETH Zürich led by Prof. Dr. Konstantinos Boulouchos developed a fleet turnover model for the shipping sector to estimate its future CO2 emissions up to 2050. Thereby, the CO2 emissions of existing ships and those of new ships entering the fleet yield yearly emission figures. However, up until recently, a missing puzzle piece for such models has been how long existing ships will actually still be in service. Missing or prohibitively expensive data has prevented analyses on this topic.
FleetMon supports students and research partners when it comes to providing AIS data for academic purposes. In 2020, a Ph.D. student from the Department of Engineering Science of the University of Oxford reached out to us to receive certain AIS data for a project on the decarbonization of crucial shipping routes.
At the beginning of 2021, the COVID-19 pandemic has claimed over two Million lives and continues to spread throughout the world. While the health crisis grew, the virus also infected economies and supply chains. Official statistics in developed countries such as Germany capture well the impact of lockdown measures on retail sales or disruption in global trade on national imports.
These official statistics, however, tend to be published with a time lag of several months and even longer for developing countries in the global South. To provide policymakers with more recent information on economic activity, the Kiel Institute for the World Economy (IfW Kiel) published the Corona Data Monitor in 2020 using unconventional, but high-frequent data. For instance, economist Vincent Stamer contributes to the data monitor by analyzing daily API data from FleetMon. Comparing historic ship activity in the Red Sea and the Suez Canal to today’s activity measures the impact of the Corona crisis on the key East Asia – Europe trade route. For more information, please visit the Corona Crisis Data Monitor on the website of the IfW Kiel.
In a recent study sponsored by the German Federal Foreign Office, a project team of the Kiel Institute replicated the concept of the Data Monitor and applied it to various data sources on developing countries. To measure the impact of the pandemic on countries in the global South, the authors used data on nitrogen gas emissions, light emissions, and flight arrivals, as well as AIS data on container ships provided by FleetMon.