Annual Energy Outlook 2008 With Projections to 2030

A survey on position-based routing protocols for Flying Ad hoc Networks (FANETs)

Abstract Maritime accidents involving ships carrying passengers may pose a high risk with respect to human casualties. For effective risk mitigation, an insight into the process of risk escalation is needed. This requires a proactive approach when it comes to risk modelling for maritime transportation systems. Most of the existing models are based on historical data on maritime accidents, and thus they can be considered reactive instead of proactive. This paper introduces a systematic, transferable and proactive framework estimating the risk for maritime transportation systems, meeting the requirements stemming from the adopted formal definition of risk. The framework focuses on ship–ship collisions in the open sea, with a RoRo/Passenger ship (RoPax) being considered as the struck ship. First, it covers an identification of the events that follow a collision between two ships in the open sea, and, second, it evaluates the probabilities of these events, concluding by determining the severity of a collision. The risk framework is developed with the use of Bayesian Belief Networks and utilizes a set of analytical methods for the estimation of the risk model parameters. Finally, a case study is presented, in which the risk framework developed here is applied to a maritime transportation system operating in the Gulf of Finland (GoF). The results obtained are compared to the historical data and available models, in which a RoPax was involved in a collision, and good agreement with the available records is found.

A framework for risk assessment for maritime transportation systems - a case study for open sea collisions involving RoPax vessels

An important application in the growing field of unmanned aerial vehicles (UAVs) is in monitoring and inspection of high voltage power lines and electrical networks. The UAV-based monitoring method will save energy, simplify access to impassable or remote areas, reduce inspection cost, and automate the inspection process. However, the battery capacity of a medium scale drone limits their travel distance and mission duration. It is crucial to improve the energy feeding system of drones and overcome the battery capacity problem to foster the use of drones for routine monitoring operations. In this study, we focus on presenting wireless techniques available for drone mission duration improvement as well as discuss and practically examine the most feasible and reliable technique to charge UAV using power lines.

Wireless Charging Techniques for UAVs: A Review, Reconceptualization, and Extension

Probabilistic risk analysis for ship-ship collision: State-of-the-art

Due to the undesirable implications of maritime mishaps such as ship collisions and the consequent damages to maritime property; the safety and security of waterways, ports and other maritime assets are of the utmost importance to authorities and researches. Terrorist attacks, piracy, accidents and environmental damages are some of the concerns. This paper provides a detailed literature review of over 180 papers about different threats, their consequences pertinent to the maritime industry, and a discussion on various risk assessment models and computational algorithms. The methods are then categorized into three main groups: statistical, simulation and optimization models. Corresponding statistics of papers based on year of publication, region of case studies and methodology are also presented.

Models and computational algorithms for maritime risk analysis: a review

Safety and Security Management with Unmanned Aerial Vehicle (UAV) in Oil and Gas Industry

Liquefied natural gas inventory routing problem under uncertain weather conditions

The authors consider a new biannual liquefied natural gas (LNG) ship routing and scheduling problem and a stochastic extension under boil-off gas (BOG) uncertainty while serving geographically dispersed multiple customers using a fleet of heterogeneous vessels. They are motivated not only by contract trend changes to shorter ones but also by technological advances in LNG vessel design. The mutual coincidence of both transitions enables developing a new LNG shipping strategy to keep up with emerging market trend. The authors first propose a deterministic LNG scheduling model formulated as a multiple vehicle routing problem (VRP). The model is then extended to consider BOG using a two-stage stochastic modeling approach in which BOG is a random variable. Since the VRP is typically a combinatorial optimization problem, its stochastic extension is much harder to solve. In order to overcome this computational burden, a Monte Carlo sampling optimization is used to reduce the number of scenarios in the stochastic model while ensuring good quality of solutions. The solutions are evaluated using expected value of perfect information (EVPI) and value of stochastic solution (VSS). The result shows that the proposed model yields more stable solutions than the deterministic model. The study was made possible by the NPRP award [NPRP 4-1249-2-492] from the Qatar National Research Fund (a member of the Qatar Foundation).

/pdf/liquefied-natural-gas-ship-route-planning-model-considering-3e936mle7f.pdf

Liquefied Natural Gas Ship Route Planning Model Considering Market Trend Change

Providing surveillance to maritime infrastructures against imminent threats is studied in this paper. Surveillance is achieved with the aid of optimally placed sonars. Under a budget-limited deployment strategy involving both static and mobile sonars, a new optimization model using hexagonal grid systems is proposed. Numerical results suggest our approach delivers acceptable detection coverage under a multi-period placement scheme.

Taofeek Biobaku

Papers

Models and computational algorithms for maritime risk analysis: a review

Safety and Security Management with Unmanned Aerial Vehicle (UAV) in Oil and Gas Industry

Liquefied natural gas inventory routing problem under uncertain weather conditions

Liquefied Natural Gas Ship Route Planning Model Considering Market Trend Change

An optimal sonar placement approach for detecting underwater threats under budget limitations