International Maritime Organization Research Articles

Decarbonization Strategies in the U.S. Maritime Industry with a Focus on Overcoming Regulatory and Operational Challenges in Implementing Zero-Emission Vessel Technologies.

The U.S. maritime industry plays a significant role in global trade and is a substantial contributor to carbon emissions, with the sector facing increasing pressure to decarbonize in line with global climate goals. This paper discusses the challenges and strategies for decarbonizing the U.S. maritime industry, laying emphasis on the adoption of zero-emission vessel (ZEV) technologies, such as battery-electric ships, hydrogen fuel cells, wind-assisted propulsion, and alternative fuels like bio-LNG and ammonia. Despite the availability of these technologies, the transition to ZEVs faces several barriers, including high capital costs, regulatory inconsistencies, and insufficient infrastructure. Existing regulatory frameworks, including the International Maritime Organization’s (IMO) emissions targets, the U.S. Clean Air Act, and the U.S. Coast Guard requirements, offer some guidance but are often fragmented and insufficiently aligned to foster widespread adoption of decarbonization technologies. Upcoming mandates, such as the IMO's 2050 target, further brings to view the urgency of this transition. However, gaps in regulations and the lack of incentives hinder technological innovation and fleet modernization. The paper also discusses the need for enhanced governmental involvement, with organizations like the Environmental Protection Agency (EPA), the Maritime Administration (MARAD), and the U.S. Coast Guard playing a critical role in streamlining policies and supporting the adoption of zero-emission technologies. It also emphasizes the importance of addressing infrastructure gaps related to fueling, charging, and port readiness for ZEVs. Furthermore, it highlights operational challenges such as range, performance, and energy density concerns that must be overcome for ZEVs to become commercially viable. The paper advocates for stronger policy frameworks, including subsidies, tax incentives, carbon pricing, and investment in research and development, to drive the transition. Public-private partnerships and industry collaboration are essential to overcoming financial barriers and creating a sustainable, decarbonized maritime sector. By implementing these strategies, the U.S. maritime industry can significantly reduce its emissions, contribute to global climate goals, and set a precedent for sustainable maritime practices worldwide.

A Hybrid Approach Integrating Physics-Based Models and Expert-Augmented Neural Networks for Ship Fuel Consumption Prediction

Abstract The International Maritime Organization’s recent approval of the 2023 strategy on reduction of greenhouse gas emissions amplifies the pressure on stakeholders to achieve net-zero emissions in shipping by 2050. Considering the anticipated predominance of traditional single-fuel engines into the next decade, due to their high efficiency and economic benefits, the implementation of operational measures stands as the foremost effective method for mitigating emissions and reducing fuel consumption. Accurate fuel consumption prediction is crucial for informed decision-making and operational efficiency. This paper introduces an innovative hybrid model, combining an advanced physics-based model with an expert-augmented neural network, offering superior fuel consumption predictions. Expert knowledge is integrated into the neural network model to enhance its learning capabilities. Performance is validated against DNV Navigator Insight and publicly available fuel consumption reporting data, demonstrating superiority over purely data-driven and physics-based models. This hybrid approach bridges accuracy and scalability for sustainable maritime operations.

Comparative Study of Different Alternative Fuel Options for Shipowners Based on Carbon Intensity Index Model Under the Background of Green Shipping Development

The International Maritime Organization (IMO)’s annual operational carbon intensity index (CII) rating requires that from 1 January 2023, all applicable ships meet both technical and operational energy efficiency requirements. In this paper, we conduct a comparative study of different alternative fuel options based on a CII model from the perspective of shipowners. The advantages and disadvantages of alternative fuel options, such as liquefied natural gas (LNG), methanol, ammonia, and hydrogen, are presented. A numerical example using data from three China Ocean Shipping (Group) shipping lines is analyzed. It was found that the overall attained CII of different ship types showed a decreasing trend with the increase of the ship’s deadweight tonnage. A larger ship size choice can obtain better carbon emission reduction for the carbon emission reduction investment program using alternative fuels. The recommended options of using LNG fuel and zero-carbon fuel (ammonia and hydrogen) on Route 1 and Route 3 during the study period were analyzed for the shipowners. Carbon reduction scenarios using low-carbon fuels (LNG and methanol) and zero-carbon fuels (ammonia and hydrogen) on Route 2 are in line with IMO requirements for CII.

A Numerical Method on Large Roll Motion in Beam Seas Under Intact and Damaged Conditions

The second-generation intact stability criteria, including five stability failure modes, were approved by the International Maritime Organization (IMO) in 2020, and it is an urgent task to develop the numerical method for the significant roll motion under dead conditions. Both intact and damaged stability focus on the large roll motion in beam seas. A unified numerical method is studied to predict the large roll motion in regular and irregular beam seas under intact and damaged conditions. Firstly, a sway–heave–pitch–roll–yaw-coupled equation named 5-DOF and a sway-, roll-, and yaw-coupled motion with the roll-righting arm in still water named 3-DOF are used to predict the large roll motion in regular beam seas under the intact and damaged conditions. Secondly, the method is extended for the large roll motion in irregular beam seas, where the diffraction force in the roll direction and the sway and yaw motion under intact and damaged conditions are calculated by the subharmonic superposition method. Thirdly, the roll-righting arm in the calm water, roll-damping coefficients, and the roll natural roll period, under the intact and damaged conditions, are obtained by software and a free roll decay experiment, respectively. Finally, the numerical results of a patrol boat under intact and damaged conditions are compared to the experimental results. The results show that the sway-, roll-, and yaw-coupled motion with the roll-righting arm in still water named 3-DOF can predict the large roll motion in regular and irregular beam seas under intact and damaged conditions.

Environmental and Cost Assessments of Marine Alternative Fuels for Fully Autonomous Short-Sea Shipping Vessels Based on the Global Warming Potential Approach

This research paper presents an effective approach to reducing marine pollution and costs by determining the optimal marine alternative fuels framework for short-sea shipping vessels, with a focus on energy efficiency. Employing mathematical models in a Python environment, the analyses are tailored specifically for conventional and fully autonomous high-speed passenger ferries (HSPFs) and tugboats, utilizing bottom-up methodologies, ship operating phases, and the global warming potential approach. The study aims to identify the optimal marine fuel that offers the highest Net Present Value (NPV) and minimal emissions, aligning with International Maritime Organization (IMO) regulations and environmental objectives. Data from the ship’s Automatic Identification System (AIS), along with specifications and port information, were integrated to assess power, energy, and fuel consumption, incorporating parameters of proposed marine alternative fuels. This study examines key performance indicators (KPIs) for marine alternative fuels used in both conventional and autonomous vessels, specifically analyzing total mass emission rate (TMER), total global warming potential (TGWP), total environmental impact (TEI), total environmental damage cost (TEDC), and NPV. The results show that hydrogen (H2-Ren, H2-F) fuels and electric options produce zero emissions, while traditional fuels like HFO and MDO exhibit the highest TMER. Sensitivity and stochastic analyses identify critical input variables affecting NPV, such as fuel costs, emission costs, and vessel speed. Findings indicate that LNG consistently yields the highest NPV, particularly for autonomous vessels, suggesting economic advantages and reduced emissions. These insights are crucial for optimizing fuel selection and operational strategies in marine transportation and offer valuable guidance for decision-making and investment in the marine sector, ensuring regulatory compliance and environmental sustainability.

Investigation and evaluation of risk of pathogen transfer by ballast water in Shahid Rajaee Port, Hormozgan Province, Iran.

Ballast water is essential for ship operations, but can also transport harmful organisms between ports, threatening local environments. The Ballast Water Management (BWM) Convention, established by the International Maritime Organization (IMO), requires ships to implement ballast water management measures to address this issue. In this study, ballast water samples were collected from ships entering Shahid Rajaee Port in Iran before and after the Ballast Water Management Convention came into force in 2017. The sampling was conducted in coordination with Iranian authorities, following IMO guidelines. Vibrio cholerae, Escherichia coli, and Enterococci were identified in 97 ships, and physical parameters such as temperature, salinity, and pH were measured in 15 ships. To prevent sample contamination, rigorous protocols were followed, including using sterile equipment, appropriate storage, and immediate transfer to the lab. The results showed that before the BWM Convention, V. cholerae was found in 6 out of 14 ships (42%), with ballast water retention times of 2-58days. After the convention, V. cholerae was found in only 2 out of 83 ships (2.4%), with ballast water retention of 2-3days. This indicates a significant reduction in the risk of pathogen transfer through ballast water. Further analysis after the Convention showed that V. cholerae was initially detected in 4 out of 15 ships, but only 1 ship (6.6%) had levels above the standard. E. coli and Enterococci were also detected in multiple ships, but their levels were below the standard. The study investigated the relationship between the bacterial levels and the physical parameters. While some correlations were found between E. coli/Enterococci and parameters like pH, temperature, salinity, and water retention time, no significant impact of physical parameters on V. cholerae levels was observed. T-tests revealed significant relationships between the bacterial levels and the physical parameters, as well as the ballast water retention time. Ships were found to have followed the ballast water exchange guidelines of exchanging at least 200 or 50 nautical miles from shore and at depths over 200m, as mapped out for the Persian Gulf region. The results indicate that the implementation of the BWM Convention has been effective in reducing the risk of pathogen transfer through ballast water. However, the study emphasizes the importance of ongoing monitoring and enforcement to ensure continued compliance with the convention's requirements.

Review of the Regulatory Challenges and Opportunities for Maritime Small Modular Reactors in Republic of Korea

Small Modular Reactors (SMRs) offer transformative potential for maritime propulsion by providing significant benefits such as reduced emissions, enhanced fuel efficiency, and greater operational autonomy. However, their integration into the maritime sector presents complex regulatory challenges due to the convergence of nuclear and maritime laws. A unified, harmonized regulatory framework is essential to ensure safety, radioactive waste management, and accident prevention. While initiatives led by the International Atomic Energy Agency (IAEA) and International Maritime Organization (IMO) are progressing, key gaps remain, particularly regarding maritime-specific risk assessments, emergency response protocols, and cross-border regulatory harmonization. Enhanced collaboration between regulatory bodies, pilot projects, and transparent engagement with stakeholders will be critical to refining safety protocols and accelerating regulatory alignment. Public acceptance remains a vital factor, requiring rigorous environmental impact assessments (EIAs) and transparent communication to build trust and align SMR-powered vessels with global sustainability objectives. While challenges persist, they also present opportunities for innovation and international cooperation. By addressing these regulatory and public acceptance challenges through coordinated efforts and policies, SMR propulsion can become a cornerstone of a more sustainable, efficient, and technologically advanced maritime sector. Successful deployment will position SMRs as a key component of the global energy transition, driving progress toward low-carbon shipping and a greener maritime industry.

How the establishment of carbon emission trading system affects ship emission reduction strategies designed for sulfur emission control area

As the backbone of the international seaborne trade, the pollution and emission from shipping are highly concerned by governments and international organizations as well. The International Maritime Organization has designated five emission control areas (ECAs) to limit sulfur oxides emissions of ships. Meanwhile, the European Union has included the shipping industry in the EU Emission Trading System since 2024 to control their carbon emissions. The strategies like switching fuel, installing scrubber or detour, are commonly used to comply with the ECA regulation, but they may increase carbon emissions and possibly incur extra carbon trading cost. In this case, the shipping company should investigate the influence of marine emission trading system (METS) on emission reduction strategies used under ECA regulation. Therefore, this paper focuses on this problem and formulates it as a mixed-integer nonlinear programming model. Several numerical experiments are conducted to show the applicability of the proposed model. The results show that ship’s detour behavior is inevitable under the ECA regulation, which incurs more carbon emissions. When METS regulation is not considered, the optimal emission reduction strategy is installing scrubber. In contrast, when METS regulation is considered, the optimal choice may be installing scrubber or fuel switching depending on different sailing route, which indicates the effect of METS on ship emission reduction strategy. Moreover, the fleet deployment and sailing speed of scrubber installation strategy are affected by METS regulation, while the strategies of fuel switching and using LNG-powered ship are almost unaffected. This indicates that installing scrubber is more easily affected by emission control policies.

Characteristics of exhaust emissions from MGO–bioethanol fuel blend using a combustion chamber

We conducted combustion tests with marine gas oil (MGO) blended with bioethanol (BE) in ratios of 0%–30% to address International Maritime Organization air pollution regulations on exhaust gases emitted from ships and fossil fuel resource depletion and achieve carbon neutrality. We designed and manufactured a standard 1-ton combustion chamber, using an attached gun-type burner to analyze the exhaust gases of each sample under similar conditions. Compared to pure MGO (BE0), the oxygen content increased by approximately 1.91% at the maximum blend ratio (BE30), while carbon dioxide decreased by 1.39%. Nitrogen oxides were reduced by approximately 30%. Sulfur oxides were minimal (<0.03%), with MGO alone at approximately 0.08 ppm, confirming the superior quality of low-sulfur fuel. In all blends containing BE, no sulfur oxides were detected. Additionally, exhaust gas temperature decreased by 5.8%, and combustion efficiency decreased from 72.24% to 70.33%, a reduction of approximately 1.9%. This indicated that BE has a relatively lower calorific value; however, it provides a similar thermal output, with some reduction of exhaust emissions. A one-way ANOVA and post-hoc verification confirmed that with increased BE content, emission differences were significant ( p < 0.01 level in all areas). Through this study, it was confirmed that the use of eco-friendly fuels such as bioethanol has excellent effects on reducing exhaust emissions. It is analyzed that it would help solve global warming and air environment pollution problems. Therefore, it is determined that the future application of MGO-bioethanol blended fuel as an eco-friendly alternative fuel for ships holds significant potential, and positive outcomes are anticipated.

The repercussions of enacting the IMO 2020 regulation for mitigating ship emissions in Malaysian waters

ABSTRACT The IMO 2020 regulations, introduced by the International Maritime Organization (IMO), came into effect on January 1, 2020, with the primary goal of reducing sulphur oxide emissions from ships by capping the allowable sulphur content in marine fuels at 0.50%. This measure aims to minimize the harmful environmental and health impacts of sulphur emissions, which contribute to air pollution and acid rain. However, the implementation of these regulations has posed considerable challenges for Malaysia’s maritime sector, particularly due to increased operational costs and difficulties in complying with the stringent requirements. This study critically analyses the challenges associated with the enforcement of IMO 2020 regulations in Malaysia, focusing on regulatory compliance. By conducting a comprehensive review of existing literature and integrating insights from key stakeholders and regulatory authorities, this research evaluates the current state of implementation. The findings reveal that the enforcement of IMO 2020 in Malaysia has been suboptimal, largely due to gaps in regulatory execution and industry preparedness. For Malaysia to fully align with international standards and contribute to the preservation of a sustainable maritime ecosystem, concerted efforts are essential to enhance enforcement mechanisms and ensure compliance with global emission reduction targets.

Review of Domestic and Overseas Regulations and Technical Standards for Water Mist Fire Extinguishing Systems

The water mist system is an eco-friendly fire-extinguishing technology that suppresses fires using fine droplets with diameters of several hundred micrometers. This suppression occurs through a combination of smothering and cooling effects, as well as by blocking radiant heat. Compared to traditional water-based fire-extinguishing systems, water mist systems provide similar fire suppression capabilities while using only 10% of the water. Internationally, various organizations, such as the International Maritime Organization, Underwriters Laboratories, and Factory Mutual, have established standards and technical guidelines for water mist systems, outlining fire-testing methods and certification procedures. However, domestically, although standards and technical guidelines for water mist systems exist, specific requirements and procedures for certifying the performance of different types of protected objects have not yet been established. This gap has resulted in challenges across diverse operational environments where water mist systems are implemented, primarily due to the lack of clarity in technical standards. This study aims to compare and review the current regulations and standards for the design, manufacture, installation, certification, and maintenance of water mist systems, both domestically and internationally. It proposes a reasonable operational plan to broaden the applications of water mist systems in our country and contribute to the establishment of systematic and stable regulatory frameworks for their future use.

Research on Navigation Risk Assessment of Unmanned Ship Under Complex Navigation Conditions

With the research on unmanned ships conducted by the International Maritime Organization, the European Union and China, the navigation risk of unmanned ships has become a hot topic around the world. Based on the research and development history and current situation of unmanned ships at home and abroad, focusing on the three key elements of “Unmanned Ship, shore-based control personnel, external navigation environment”, this study establishes a navigation risk index system for unmanned ships under complex navigation conditions, considering the particularity of the unmanned ship, its perception ability, environmental understanding, situation judgment, communication ability and other indicators. The analytic hierarchy process is used to solve the weight of all kinds of navigation risk factors, and a consistency test of the established index system is carried out. Through expert investigation, the fuzzy membership set of risk indexes is established, and a fuzzy comprehensive evaluation model is established to evaluate the navigation risk of unmanned ships under complex navigation conditions. To avoid the situation of single-factor information being inundated, this study adopts the method of fuzzy comprehensive evaluation from a low level to a high level, and it verifies the algorithm through cases, which proves the validity and rationality of the proposed risk assessment method.

MASS and COLREGS–Adaptability, Challenges and Coping Strategies

Discussions surrounding Maritime Autonomous Surface Ships (MASS) are occurring in academia, industry, and the International Maritime Organization (IMO). Automatic collision avoidance, as one of the key technologies of MASS, is the core of the autonomous navigation function of MASS, and its role is to solve the autonomous collision avoidance problem during MASS navigation. Convention on the International Regulations for Preventing Collisions at Sea (COLREGS) is a fundamental basis for automatic collision avoidance, and the navigation of MASS should adhere to it. However, the applicability of MASS to COLREGS has not yet been resolved. Responding to these issues, the paper proceeds to analyze the principal challenges of MASS to COLREGS in terms of the application of MASS to good seamanship, the neglect provision, the lookout provision, the insight of one another provision, and the problems of the deviation provision. Furthermore, suggestions are put forth for the revision of COLREGS, including the mode of revision, the reconstruction of MASS collision liability, the long-term coexistence of MASS and traditional ships, and the risk control of COLREGS revision in the context of artificial intelligence. These suggestions aim to establish a foundation for a more effective adaptation to the advent of the MASS era.

Detection and analysis of ship emissions using single-particle mass spectrometry: A land-based field study in the port of rostock, Germany

The regulation of ship emissions has become more restrictive due to their significant impact on global air quality, particularly in coastal regions. According to the International Maritime Organization (IMO) regulations, current restrictions mainly limit the sulfur content of the fuel mass to 0.5 % and 0.1 % respectively. In compliance with these regulations, exhaust SO2 cleaning systems (scrubbers) and new low-sulfur fuels are increasingly used. For comprehensive monitoring of ship emissions, advanced measurement techniques are demanded. Our study reports on the results of a land-based field campaign conducted in the port of Rostock, Germany. The chosen location strategically positions the measurement setup to capture all incoming and outgoing ships passing within a distance of up to 2 km. Potential ship exhaust plumes are indicated by rapid changes in particle number and size distribution monitored by an optical particle sizer (OPS) and a scanning mobility particle sizer (SMPS). Additionally, single-particle mass spectrometry (SPMS) was used to qualitatively characterize ambient single-particles (0.2–2.5 μm) by their chemical signatures. In a one-week time span, the exhaust plumes of 73 ships were identified. The high sensitivity of SPMS to transition metals and polycyclic aromatic hydrocarbons (PAH) in individual particles make it possible to distinguish between different marine fuels.

Review of the Chilean Shipping Industry: Challenges to Achieving Emissions Reductions by 2030, 2050, and Beyond by Applying Alternative Fuels

Alternative fuels are a measure discussed in the International Maritime Organization (IMO) strategy in order to reduce emissions from shipping. This is deemed necessary to achieve emissions reduction in the shipping industry, but the way in which this needs to be applied to such a resilient industry overall is a current challenge. The increasing impact of ships’ emissions on the environment and current preventative regulations that have been introduced by the IMO present a paradigm in the consideration of alternative fuel measures that could possibly be applied to this industry. Existing and new ships are different assets that need to converge to reduce emissions partially or completely by 2030. Determining the technology readiness level (TRL) for producing these alternative fuels, and their availability to be applied to these assets, involves a mix of evaluation and analysis as covered in this work. The TRL of producing alternative fuels is at the commercial level, which means that the shipping industry could apply it by itself following economical evaluation, but these alternative fuels’ services and capabilities have not yet been evaluated in comparison to traditional fuels. A supply chain for alternative fuel production needs to be built to serve the shipping industry. This supply chain would need the support of governments because the inclusion of alternative fuels in the supply chain would impact the national energy matrix. This work presents a revised path for the Chilean shipping industry to follow, focusing on the consideration not only of the emission reduction measures themselves but also of the analysis of the impact of those measures on the supply chains, as well as the stringent necessary regulations issued by the IMO and the government. The methodology used in this review considers the revision of the actual advances towards emission reductions, the development of alternative fuels, and the possibilities of applying them, considering the current state of development of the Chilean shipping industry. This review shows that room for the development of the Chilean shipping industry exists if it wants to move towards using alternative fuels with support from the government.

The effect of failure on energy efficiency in maritime vessels autopilot systems

The increasing demands for energy efficiency and environmental sustainability in the maritime industry have underscored the critical importance of optimizing autopilot systems, which, despite their significance, are often overlooked in ship energy efficiency management. The objective of this study is to enhance the energy efficiency of ships by focusing on the efficiency of autopilot systems, which play a significant role in the management of energy efficiency. The research emphasizes the need for effective decision support systems for ship operators, not only for optimizing ship speeds but also for making informed operational decisions. By utilizing Fuzzy Fault Tree Analysis (FFTA), the study identifies and prioritizes the causes of efficiency losses in autopilot systems and examines their frequency. Based on expert opinions, the research delves into the complexity of autopilot systems and the interactions among various components. Notably, the study highlights the impact of multiple factors on the efficiency of complex autopilot systems, elucidating their relationships through Minimum Cut Sets (MCS) analysis. Furthermore, attention was drawn to the “Improper Alarm Input” event caused by insufficient knowledge and awareness among ship operators, which hinders the effective use of autopilot systems. The findings demonstrate that decision support systems can increase energy efficiency and contribute to the reduction of operational errors by reducing the human factor, which is 99% effective on the “Inefficient Heading Control System”. Additionally, proper utilization of autopilot systems can lead to a decrease in a ship's carbon footprint and operating costs. Overall, the results can affect strategic decisions in ship energy efficiency management and encourage significant steps toward achieving International Maritime Organization's (IMO) sustainability objectives.

Mechanisms for Securing Autonomous Shipping Services and Machine Learning Algorithms for Misbehaviour Detection

Technological developments within the maritime sector are resulting in rapid progress that will see the commercial use of autonomous vessels, known as Maritime Autonomous Surface Ships (MASSs). Such ships are equipped with a range of advanced technologies, such as IoT devices, artificial intelligence (AI) systems, machine learning (ML)-based algorithms, and augmented reality (AR) tools. Through such technologies, the autonomous vessels can be remotely controlled from Shore Control Centres (SCCs) by using real-time data to optimise their operations, enhance safety, and reduce the possibility of human error. Apart from the regulatory aspects, which are under definition by the International Maritime Organisation (IMO), cybersecurity vulnerabilities must be considered and properly addressed to prevent such complex systems from being tampered with. This paper proposes an approach that operates on two different levels to address cybersecurity. On one side, our solution is intended to secure communication channels between the SCCs and the vessels using Secure Exchange and COMmunication (SECOM) standard; on the other side, it aims to secure the underlying digital infrastructure in charge of data collection, storage and processing by relying on a set of machine learning (ML) algorithms for anomaly and intrusion detection. The proposed approach is validated against a real implementation of the SCC deployed in the Livorno seaport premises. Finally, the experimental results and the performance evaluation are provided to assess its effectiveness accordingly.

Fundamental Understanding of Marine Applications of Molten Salt Reactors: Progress, Case Studies, and Safety

Marine sources contribute approximately 2% of global energy-related CO₂ emissions, with the shipping industry accounting for 87% of this total, making it the fifth-largest emitter globally. Environmental regulations by the International Maritime Organization (IMO), such as the MARPOL (International Convention for the Prevention of Pollution from Ships) treaty, have driven the exploration of alternative green energy solutions, including nuclear-powered ships. These ships offer advantages like long operational periods without refueling and increased cargo space, with around 200 reactors already in use on naval vessels worldwide. Among advanced reactor concepts, the molten salt reactor (MSR) is particularly suited for marine applications due to its inherent safety features, compact design, high energy density, and potential to mitigate nuclear waste and proliferation concerns. However, MSR systems face significant challenges, including tritium production, corrosion issues, and complex behavior of volatile fission products. Understanding the impact of marine-induced motion on the thermal–hydraulic behavior of MSRs is crucial, as it can lead to transient design basis accident scenarios. Furthermore, the adoption of MSR technology in the shipping industry requires overcoming regulatory hurdles and achieving global consensus on safety and environmental standards. This review assesses the current progress, challenges, and technological readiness of MSRs for marine applications, highlighting future research directions. The overall technology readiness level (TRL) of MSRs is currently at 3. Achieving TRL 6 is essential for progress, with individual components needing TRLs of 4–8 for a demonstration reactor. Community Readiness Levels (CRLs) must also be addressed, focusing on public acceptance, safety, sustainability, and alignment with decarbonization goals.

Cybersecurity risks of automated (and autonomous) offshore oil and gas units—the IMO cybersecurity rules framework

Abstract Automated and/or autonomous offshore platforms or units are becoming more important in the energy sector, whether they are being used for oil and gas extraction or for carbon storage purposes. Automation means that harsh working conditions and risks of personal injury to crew could be cut to virtually zero. Automation also provides significant cost savings and helps make less attractive oil and gas fields more economically viable to exploit. However, automation does come with its own set of challenges—the notable one being the cybersecurity threat. Any regulation or international standard dealing with the cybersecurity risk which is relevant to automated offshore units is usually framed within those rules that apply to ships. This article examines to what extent that regulatory approach, especially that of the International Maritime Organisation’s (IMO) regime, could and should apply to automated or autonomous offshore platforms. It argues that whilst, for now, the IMO cybersecurity guidelines are relevant, a more targeted regulatory approach is needed.

A Risk Identification Method for Ensuring AI-Integrated System Safety for Remotely Controlled Ships with Onboard Seafarers

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of the MASS Code by the International Maritime Organization (IMO), which regulates Maritime Autonomous Surface Ships (MASS), ensuring the safety of AI-integrated systems on these vessels has become critical. To achieve safe navigation, it is essential to identify potential risks during the system planning stage and design systems that can effectively address these risks. This paper proposes RA4MAIS (Risk Assessment for Maritime Artificial Intelligence Safety), a risk identification method specifically useful for developing AI-integrated maritime systems. RA4MAIS employs a systematic approach to uncover potential risks by considering internal system failures, human interactions, environmental conditions, AI-specific characteristics, and data quality issues. The method provides structured guidance to identify unknown risk situations and supports the development of safety requirements that guide system design and implementation. A case study on an Electronic Chart Display and Information System (ECDIS) with an AI-integrated collision avoidance function demonstrates the applicability of RA4MAIS, highlighting its effectiveness in identifying specific risks related to AI performance and reliability. The proposed method offers a foundational step towards enhancing the safety of software systems, contributing to the safe operation of autonomous ships.