Bulk Cargo Marine Transportation Industry

Bulk cargo is being transported in large parcels to reduce transportation cost calculated per unit of cargo. Its main categories are: liquid cargo, dry bulk cargo and special bulk cargo. The deadweight of the fleet of ships carrying bulk cargo by sea increased 3.4 times in 1990-2020. Dry carriers account for 55% of the fleet and their deadweight increased 4.4 times during the same period. The Oil and oil products tankers account for 37% of the deadweights which has been increased by 2.4 times. The majority of the oil tanker tonnage (over 98%) comes from VLCC, Suezmax and Aframax type vessels. 60% of this is 200 thousands tankers sized more than dwt. The oil tanker freight market in 2002-2019 was characterized by a high level of volatility. VLCC tanker time-charter equivalent ranged from $ 8.7-95.2 thousand in 2002-2019. The variability of time-charter rates in other oil tanker categories was similar. The major part of the tonnage of product tankers (more than 90%) is derived from from LR2, LR1 and MR2 type of vessels. 43% of these are LR2 tankers. This segment of the freight market was also highly variable. LR2 tanker time-charter equivalent ranged from $ 7.5-28.8 thousand in 2011-2019 years. The main part of the tonnage of dry cargo vessels (over 69%) comes from Capesize, Panamax and Supramax type vessels. This segment of the freight market has been declining and highly volatile in recent years. The capesize-type ship time charter equivalent ranged from $ 3.5-30.8 thousands in 2011-2019. Keywords: bulk cargo, oil tanker, bulk carrier, gas carrier, chemical tanker, time charter equivalent.

A Novel High-Dimensional Trajectories Construction Network based on Multi-Clustering Algorithm

A novel marine transportation network based on high-dimensional AIS data with a multi-level clustering algorithm is proposed to discover important waypoints in trajectories based on selected navigation features. This network contains two parts: the calculation of major nodes with CLIQUE and BIRCH clustering methods and navigation network construction with edge construction theory. Unlike the state-of-art work for navigation clustering with only ship coordinate, the proposed method contains more high-dimensional features such as drafting, weather, and fuel consumption. By comparing the historical AIS data, more than 220,133 lines of data in 30 days were used to extract 440 major nodal points in less than 4 minutes with ordinary PC specs (i5 processer). The proposed method can be performed on more dimensional data for better ship path planning or even national economic analysis. Current work has shown good performance on complex ship trajectories distinction and great potential for future shipping transportation market analytical predictions.

Effect of piezoelectric material on vibration of vessel of marine transportation

The drive arrangement of normal marine vessels involves a propeller coupled to a progression of shafts and diary orientation which is at last associated with a push bearing which sends the propeller pivotal power into the frame of the boat through a push block coupled to the mass head. For effortlessness, the framework is improved to a propeller, a solitary shaft, diary bearing and a push bearing. As the vessel travels through the sea, a wake is produced. This non-uniform wake field is the inflow to the propeller. The power produced by the propeller is additionally non-uniform. The impetus arrangement of a marine vessel is the principle supporter of commotion emanated from the vessel. It is along these lines important to diminish the commotion sent from the propeller into the sea and consequently the vibration that is created by the propeller that is thus communicated into the body. The inspiration for lessening commotion and vibration remembers diminishing mechanical wear for segments, expanding secrecy limit of military vessels, improving traveler and group solace, and decreasing the effect on marine conditions. The point of this theory is to dissect the shaky power created by the propeller, the power transmission ways, and techniques to quantify the power transmission through the push bearing continuously.

Electrical and Energy Systems Integration for Maritime Environment-Friendly Transportation

The policies against climate change require the reduction of greenhouse gas emissions of marine transportation. To reach the planned goals, the most promising approach is working both on ships improvement and ports redesign. The latter must enable the new green ships supply with sustainable electrical energy, by integrating shore connection systems, local renewables, and energy storage systems. In this paper, a methodology to obtain such an objective is proposed, capable of taking into account both ships’ and ports’ characteristics. The methodology workflow is explained through a case study, where two shore connection power sizes and two different operative approaches for recharging the ship onboard energy storage are considered. A discussion about the most suitable energy storage technologies is also provided. The case study shows how the methodology can be applied, as well as demonstrating that the port infrastructure has a direct effect on the ship environmental performance.

Ship classification based on random forest using static information from AIS data

With the wide use of automatic identification system (AIS), a large amount of ship-related data has been provided for marine transportation analysis. Generally, AIS reports the type information of ships, but there are still many ships with type unknown in AIS data. It is necessary to develop algorithms which can identify ship type from AIS data. In this paper, we employ random forest to classify ships according to the static information from AIS messages. Moreover, the importance of static features is discussed, which explains the reason why some classes of ships are misclassified. The method of this paper is proved to be effective in ship classification using static information.

KOMPETENSI DASAR DI SEKTOR TRANSPORTASI LAUT DAN LOGISTIK

The highest development in the marine transportation and logistics sector at this time is adapting to Industry 4.0. Logistic productivity without involving comptencies human resources with expertise is inevitable. Including the development of technology, information and computers. A cluster of related knowledge, skills, and abilities that affects a role or responsibility, that correlates with performance on the job, that can be measured against well accepted standards, and that can be improved via training and development are comptencies needed in marine transportation and logistics sector. Based on literature from various books, journals and websites that are searched on the internet to answer the question of what competency is needed and why it is needed? The aim of research is to understand or explain basic competencies for logistics experts. The research is explanatory research. The basic competencies for logistics experts are (1) individual competencies as soft skill is represent personal attributes, and (2) academic competencies are critical competencies primarily learned in a school setting include cognitive functions and thinking styles.

Carbon Emissions Peak in the Road and Marine Transportation Sectors in View of Cost-Benefit Analysis: A Case of Guangdong Province in China

The road and marine transportation sectors have attracted a great deal of attention as one of the main sources of carbon emissions. In this study, a LEAP (long-range energy alternatives planning system) model is used to predict the energy demand and carbon emissions of the road and marine transportation sectors in Guangdong Province from 2016 to 2030. Based on the model results, if Guangdong Province does not adopt new control measures, in 2030, the energy demand and CO2 (carbon dioxide) emissions from the road and marine transportation sectors will have increased by 117 and 116%, respectively, compared to the levels in 2015. Conversely, under a low-carbon scenario, carbon emissions will peak by 2027 in Guangdong Province. Motor vehicle control measures generate the strongest reduction in energy consumption and CO2 emissions for the road and marine transportation sectors in Guangdong Province. Furthermore, the reduction of emissions resulting from these measures would increase over time. Public transportation development and the promotion of clean energy measures also play significant roles in reducing carbon emissions long-term. The contribution of road passenger transport to emission reduction is the largest, followed by marine freight transport and road freight transport. While the energy demand and carbon emissions peak at a similar time in the model, the peak time for CO2 occurs slightly earlier.