Burak Köseoğlu

Ballast water operations are one of the most essential activities of commercial ships whose purpose of existence is to carry cargo between ports. With their growing ballast capacities, ships become an important vector that carries the origin species of the sea waters they took into their ballast tanks. Foreign species were transported between ports with ballast water in these operations, which have been going on since the mid-1800s. Although various guidelines were published by the International Maritime Organization (IMO) regarding ballast water, whose adverse effects on the marine environment began to be noticed in the international arena in the late 1980s, the desired positive effect could not be achieved. As a result of technological developments and R&D studies, ballast water treatment systems (D-2 Standard), which have completed the type approval process, have started to be applied on ships. The deadline for applying treatment systems, which have various types in terms of method and capacity, on ships is September 8, 2024. In this study, an application was made on ships calling Aliağa Port Nemrut Bay to investigate compliance with the International Ballast Water Management Convention and ship ballast operations’ by port state control measures. This study showed that most ballast water at Aliağa Port (73%) was treated and discharged. Mechanical filter + UV treatment systems are also the preferred type (63%) among other systems. Also, according to this study's data set, the Adriatic Sea is the majority (44%) among other origins for Aliağa Port.

The aim of this study is to determine the possible causes of collision accidents and identify the contribution of possibility on top events by using Fault Tree Analysis (FTA). A total of 62 collision accidents were considered between 2005 and 2020 and detailed technical data on marine accidents were provided from accident reports obtained by Marine Accident Investigation Branch (MAIB). The study found that most of the factors (E1/Misuse of navigational tools, E3/COLREG Rule-5 (Look-out)) that had the greatest effect on the collision were mainly due to the inadequacy to keep a safe navigation watch. For that reason, the findings of the study are very important in terms of determining the strategies to eliminate the risks for future accident prevention. For further research, it is recommended that consideration be given to a longer data period, including other navigational areas. In addition, alternative risk assessment methods should be applied considering other types of vessels for better comparisons.

This study aimed to evaluate the research output of oil spill response and citations from 2000 to 2022 through a bibliometric analysis. The primary findings were as follows: there has been a noticeable increase in the number of publications. The most active journal was Marine Pollution Bulletin. Environmental sciences ranked as the most popular subject area. The United States of America (USA) published the greatest number of single-authored, internationally collaborative, first-authored papers. Oil spill(s) was the most widely queried research term, ranking first in the article title, abstract, and author keyword analysis, respectively. The Deep-Water Horizon disaster, the largest marine oil spill in 2010, was the most frequently analyzed oil spill accident in the research as a sample. This study makes a significant contribution to the field of oil spill response science by being one of the few that applies network visualization and mapping technique. Further research is recommended in light of longer-term data and the diverse Web of Science (WoS) categories found in oil spill science, which may be visualized using a variety of bibliometric visualization applications.

This study aims to analyze the fuel-saving potential and sustainability performance of the power generation plant of a tanker ship when an organic Rankine cycle is integrated. The system was modeled thermodynamically and simulations were conducted to determine the fuel consumption of the plant within a two-years period regarding six operation modes. The results show that the optimum working fluid is R1336mzz(Z) for the evaporation pressure of 16 bar. Organic Rankine cycle system integration provided a total fuel-saving of 15% from diesel generators and the total fuel consumption of the vessel was reduced by 5.16%. The sustainability performance of the system was ensured with a novel operation-dependent approach that enhances the sustainability assessment by considering the operation modes of the vessel and the time spent for these operations for a certain time period. The notable load reduction in the generators resulted in better sustainability performance.

Dünya ticaret hacminin büyük bir bölümünün taşınmasına aracılık eden denizyolu taşımacılığı, içinde bulunduğu koşulların değişkenliğinden ötürü her an tehlike ile karşılaşılma olasılığı yüksek bir taşımacılık türüdür. Yaşanabilecek en ufak bir olumsuzluğun dahi çok tehlikeli sonuçlar doğurduğu geçmiş yıllarda görülmüştür. Bu sebeple kaza nedenlerini tespit ederek farkındalığı artırmak, önleyici tedbirler geliştirmek için politika oluşturmak adına deniz kaza analizlerinin doğru bir biçimde yapılması ve değerlendirilmesi büyük önem arz etmektedir. Büyük veri yığınları içinden anlamlı bilgilere ulaşıp bilgisayar programlarıyla tahmin edici ve tanımlayıcı yorumlar yapmamıza olanak sağlayan veri madenciliği yöntemiyle deniz kazalarının analizinin yapılması çalışmanın temel konusunu oluşturmaktadır. Bu çalışmada Türk karasularında gerçekleşen deniz kazaları incelenmiştir. Bu bağlamda çalışmanın amacını deniz kazalarında hangi değişkenlerin birlikte hareket ettiğini, veri madenciliğinin önemli analiz yöntemlerinden biri olan birliktelik kuralıyla tespit etmek oluşturmaktadır. Yapılan analizler neticesinde kazalarda; gemi yük durumu, gemide kılavuz kaptanın varlığı, baş iter ve kıç iter gibi donanımların durumu, gemi bayrağı, gemi tipi ve meteorolojik etkenlerin etkili birer değişken olduğu tespit edilmiştir.

It is widely accepted that one of the most important factors playing an important role in the accidents encountered in shipping is the human factor. A thorough analysis of the most likely sources of this factor in particular world reveal the unfavorable strategies adopted in recruiting and hiring seafarers: employing incompetent ones. Who are not qualified enough to successfully carry out the critical jobs remarkably affective in sustaining the required safety in oceangoing vessels. In mitigating the mistakes and risks and sustaining safety on board ships, recruiting and employing qualitative and competent watchkeeping officers is of utmost importance. The purpose of this study is to determine the criteria (to be) used in recruiting oceangoing watchkeeping officers. To do this, semi-structured interviews, one of the instruments of qualitative research method, has been conducted through the human resource managers of 12 shipowning and/or operating/management companies. As a result of having analyzed the data, 18 vocational, attitudinal/behavioral competencies have been determined, and the overall results have been discussed.

In this paper, a single-stage, horizontal type centrifugal pump, which can be used in a chemical tanker’s cargo operations, was modelled with MATLAB/Simulink software. The modelled pump was run with seven different fluids handled in chemical tankers which are ethyl alcohol, N-Propyl alcohol, phenol, chloroform, castor oil, 55% nitric acid and water. Therefore, the pump’s performance curves and data sets were obtained for each situation. After these, a neural network was created with MATLAB/ Neural Network Fitting Tool application. Inputs of the network were volumetric flow, head, shaft power, torque, and net positive suction head. The output was the pump efficiency and it is estimated for each fluid from the numeric data. Mean squared error was very close to zero (1.1817e-6) and R² provided a prediction accuracy of 99.996%. According to these results, artificial neural network (ANN) had a satisfactory performance to predict the efficiency of a chemical tanker’s centrifugal cargo pump.

Shipping companies have to take several strategic decisions about the vessels that perform transportation activities. The most important of these strategic decisions is “Flag Choice”. This decision given by the company is shaped under the light of external and internal factors.\ud In this paper, initially, the factors which affect flag choice decision of shipping companies and ship owners who play an important role to handle Turkish merchant fleet are determined. Then, the relation and association status of the factors which have significant impacts on this decision are displayed with data mining application. Artificial Neural Networks (ANN) application is realized with the obtained outputs and a model is proposed for flag selection decision. It is expected that the results of the study\ud provides certain outcomes and guidelines for related organizations dealing with shipping operations as well as suggestions for effective and efficient coordination among the relevant institutions