Research on quantitative risk assessment of fuel leak of LNG-fuelled ship during lock transition process

Xie, Cheng; Huang, Liwen; Wang, Rui; Deng, Jian; Shu, Yangqing; Jiang, Dan

doi:10.1016/j.ress.2022.108368

Cited by 32 publications

(9 citation statements)

References 33 publications

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“…Although LNG is not flammable when it is in its liquid condition, it can quickly vaporize in the presence of ambient heat and produce a dangerous gas cloud. To stop LNG releases and control the dangers involved, thorough risk assessments, hazard identification, and mitigation techniques are essential [140].…”

Section: Risk Management and Hazard Mitigationmentioning

confidence: 99%

Liquefied Natural Gas Value Chain: A Comprehensive Review and Analysis

Shingan,

Banerjee,

Kumawat

et al. 2023

Chem Eng & Technol

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Over the past few decades, the liquefied natural gas (LNG) business has experienced astounding expansion and gained global relevance. LNG has emerged as a key element in meeting the world's rising energy demand while working to cut carbon emissions, since it is a cleaner and more adaptable energy source. The entire process from natural gas extraction to consumption is covered in the presented analysis of the LNG value chain, starting out by looking at the discovery and production of natural gas reserves, highlighting important innovations and methods used during the extraction stage. The procedures used to treat and purify natural gas in order to meet the strict standards for liquefaction are detailed. Analysis of the liquefaction process reveals numerous liquefaction technologies, e.g. the well‐known conventional liquefaction and the cutting‐edge floating LNG and small‐scale LNG facilities. LNG storage and transportation, as critical components in the value chain, are examined in great detail. When the LNG reaches its destination, regasification plays a crucial role in repurposing it as a gas for distribution and consumption. Regasification technologies, such as conventional onshore terminals, floating storage and regasification units, and land‐based regasification facilities, are covered. Concerns regarding methane emissions and the carbon footprint, the potential for reducing greenhouse gas emissions through new technology, the environmental impact of LNG, and the economics of LNG are also considered across its value chain.

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Section: Risk Management and Hazard Mitigationmentioning

confidence: 99%

Liquefied Natural Gas Value Chain: A Comprehensive Review and Analysis

Shingan,

Banerjee,

Kumawat

et al. 2023

Chem Eng & Technol

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“…(1) A novel CRA model based on asymmetric AGC is proposed for different encounter situations, which can effectively consider the randomness, ambiguity, and incompleteness of the information in the ship collision risk evaluation process. (2) Based on the inherent good characteristics of the VO model, the collision avoidance model in this paper attempts to combine manoeuvring motion characteristics of vessels with a modified VO algorithm. The ship collision avoidance model can consider various factors including ship manoeuvrability, ship encounter situation, navigation practice, and COL-REGs.…”

Section: )-16(d)mentioning

confidence: 99%

“…At the same time, shipping traffic has become more and more intensive. The safety of ships has become the primary concern of the shipping industry [2]. As technology continues to evolve, more new technologies and tools are used to improve the safety of maritime transportation [3,4].…”

Section: Introductionmentioning

confidence: 99%

Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index

Zhang

Huang

et al. 2022

Journal of Advanced Transportation

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A novel real-time collision avoidance method for autonomous ships based on modified velocity obstacle (VO) algorithm and grey cloud model is proposed. A typical VO algorithm is used to judge whether there is a collision risk for ships in the potential collision area (PCA). Then, in order to quantify the collision risk of ships in different encounter situations within the PCA and trigger a prompt warning of danger of collision, this study sets up a novel collision risk assessment method based on asymmetric grey cloud model (AGC). It can effectively consider the randomness, ambiguity, and incompleteness of the information in the ship collision risk evaluation process. Moreover, reachable collision-free velocity sets under different encounter situations and optimal steering angle model are constructed. A real-time collision avoidance method based on modified VO algorithm and manoeuvring motion characteristics of vessels is put forward. In this model, various constraints are considered including the International Regulations for Preventing Collisions at Sea (COLREGs), ship manoeuvrability, and ordinary practice of seaman. Finally, several case studies are carried out to verify the performance and reliability of the collision avoidance model. The results show that the proposed method can not only effectively identify and quantify the collision risk in real-time but also offer proper collision-free solutions for autonomous ships.

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“…In the field of engineering, there are currently three main methods of system reliability analysis: qualitative analysis, quantitative analysis and semi-qualitative analysis [20] [21]. Qualitative analysis is based on the subjective experience of the researcher, and expert opinion is used to give the probability of failure of the event and the influencing factors, such as Hazard Checklist Method, Hazard and Operability Analysis Method, Pre-hazard Analysis Method, Hazard and Operability (HAZOP) Analysis, Failure Mode and Effect Analysis (FMEA) [ 22 ] [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of Subsea Control System Using FMEA and FFTA

Xiao

LIU

et al. 2023

Preprint

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Reliability technology has significant importance to ensure the safe operation of the system. To address the problems of complex system structure and lack of reliability data, a combination of Failure Mode and Effects Analysis (FMEA) and Fuzzy Fault Tree Approach (FFTA) is introduced. Firstly, the FMEA method is used to complete the qualitative analysis of the system reliability from the perspective of multi-factor failure modes, analyze the potential failure modes and failure causes of the system. And the risk matrix diagram is used to determine the degree of harm of different failure modes to the system function. Then, the system reliability is quantitatively analyzed by FFTA, and a fault tree model is established by dividing the system into "system-subsystem-component" and solving for the minimum cut set. In addition, by introducing fuzzy set theory to blur the failure probability of each bottom event and introducing triangular fuzzy function to quantitatively calculate the failure probability of the top event and the probabilistic importance of the bottom event, the weak points of each subsystem are identified. Finally, a qualitative and quantitative reliability analysis is conducted by using FMEA-FFTA method for subsea control system. Measures should be taken to focus on preventive protection and regular testing for the high risk, medium-high risk and medium risk modes of the subsea control system.

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Research on quantitative risk assessment of fuel leak of LNG-fuelled ship during lock transition process

Cited by 32 publications

References 33 publications

Liquefied Natural Gas Value Chain: A Comprehensive Review and Analysis

Liquefied Natural Gas Value Chain: A Comprehensive Review and Analysis

Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index

Reliability Analysis of Subsea Control System Using FMEA and FFTA

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