New generation of high-resolution meteo-oceanographic predictions provides useful tools for routing of ships in short maritime distances. In this work, the optimal ship routing analysis is investigated in maritime routes in the Western Mediterranean Sea for relative short sea distances. A* algorithm is implemented in order to obtain the optimal path under an energetic wave events. The methodological aspects are presented including the grid description and weather prediction systems. The optimized cost function is the travel time and it is obtained considering the added resistance due to waves. A practical
example considers the maritime route between Barcelona and Algiers. The results show the influence of this factor in the optimum path recovered by the algorithm. The relevance of the relative direction between wave and ship route is proven comparing the ship routing results.
In recent years, inland navigation networks bene¿t from the innovation of the instrumentation and SCADA systems. These data acquisition and control systems lead to the improvement of the management of these networks. Moreover, they allow the implementation of more accurate automatic control to guarantee the navigation requirements. However, sensors and actuators are subject to faults due to the strong effects of the environment, aging, etc. Thus, before implementing automatic control strategies that rely on the fault-free mode, it is necessary to design a fault diagnosis scheme. This fault diagnosis scheme has to detect and isolate possible faults in the system to guarantee fault-free data and the efficiency of the automatic control algorithms. Moreover, the proposed supervision scheme could predict future incipient faults that are necessary to perform predictive maintenance of the equipment. In this paper, a general architecture of sensor fault detection and isolation using model-based approaches will be proposed for inland navigation networks. The proposed approach will be particularized for the Cuinchy-Fontinettes reach located in the north of France. The preliminary results show the effectiveness of the proposed fault diagnosis methodologies using a realistic simulator and fault scenarios.
The main objective of this paper is the presentation of a theoretical study of the wave energy in some zones of the Barcelona World Race (BWR) considering di erent theories, how much of this energy is
transferred to the boat and if it is possible to use that energy, as propulsion energy.
Nowadays, the absorption of wave energy (o shore, inshore or on board) is low utilized and has important costs. That makes this subject become more interesting.
The ﬁrst section of this paper is a study of the movement of the waves with di erent descriptions and of the power depending on characteristic’s value.
Secondly, a categorization of the wave’s characteristics is done of a part of BWR with the objective to be able to do an energy atlas of di erent areas.
After that, a model of the vertical motion (simpliﬁed motion) is done in order to express the energy which is in the kinetic phase di erence between the wave action and the boat reaction.
Finally, all factors in the synchronism motion between wave and boat have been evaluated (in surf navigation) in order to analyze the results of equilibrium and the result force with di erent power propulsion.
The presented paper is going to analyze the opportunity to develop a Ro/Ro hub in the Port of Palma de Mallorca.
In order to get introduced in the study, the state of art related to geographical, economic tra c and human; conditions, will be reviewed; together with an in deep analysis of the port future capacities and main shipping lines crossing the western Mediterranean. At a ﬁrst glance is it easy to understand that the competition with other container hub ports in Mediterranean does not a ord Palma de Mallorca to be positioned in this market. But the chance to become a hub in rolled tra c will be studied.
The ﬁnal results of this paper are going to identify the main particulars to be enforced to attract the main shipping companies that are providing transport services between the North and South coasts of the Mediterranean and the tra c between Italy and Spain.
There is a strong imbalance in EU transport mode shares. In addition, issues like road traffic, noise, accident rates, and especially polluting emissions result not only in external costs to society, but
also in high logistical costs to transport service customers. The present paper proposes an assessment model to evaluate final internal and external costs of transport chains served by trucks and short sea shipping (SSS). An efficient and fast tool is presented to help customers decide on the most convenient mode of transportation for a specific trade link. The trade links in this paper connect 19 Spanish provinces to the main ports in the Black Sea region (Bulgaria, Georgia,
Romania, Russia, Turkey, and Ukraine) through the ports of Barcelona and Valencia.
This paper focuses on the Normal Navigation Level (NNL) control of a hydraulic channel that is located in the northwest of France and belongs to the Europe Inland Navigation Network. This system is a large scale system with several inputs and outputs that nowadays is operated manually and with local controllers that try to maintain the level of the channel as close as possible to the NNL and fulfils the seaworthiness requirements. For recent years, the channel has been equipped with electronic sensors in order to have better knowledge of its behaviour, provide online the state to the lockkeepers and improve its management. In this work, an automatic control based on a Model Predictive Controller (MPC) is proposed. The MPC controller is based on a model of the system and, with the available data, provides automatically the suitable control inputs (flows) in order to maintain the level in all the points of the channel despite the locks operation that produces wave phenomena and other unknown inputs along the channel. A numerical simulator of the system based on the Saint-Venant Equations and calibrated with real data has been developed in order to verify the effectiveness of the proposed automatic controller.
The Holtrop & Mennen method is widely used at the initial design stage of ships for estimating the resistance of the ship (Holtrop and Mennen, 1982). The Holtrop & Mennen method provide a prediction of the total resistance’s components. In this work we present a neural network model which performs the same task as the Holtrop & Mennem’s method, for two of the total resistance’s components. A multilayer perceptron has been therefore trained to learn the relationship between the input (length-displacement ratio, prismatic coefficient, longitudinal position of the centre of buoyancy, after body form and Froude number) and the target variables (form factor and wave-making and wave-breaking resistance per unit weight of displacement). The network architecture with best generalization properties was obtained through an exhaustive validation analysis (Bishop, 1995). The results of this model have been compared against those provided by the Holtrop & Mennen method, and it was found that the quality of the prediction is improved over the entire range of data. The neural network provides an accurate estimation of two total resistance’s components with Froude number and hull geometry coefficients as variables.
En este proyecto se desarrolla un vehículo de observación oceánica de bajo coste, híbrido entre los Autonomous Underwater Vehicles (AUV) y los Autonomous Surface Vehicles (ASV), esto es, que se traslada por la superficie del mar y realiza inmersiones verticales para la obtención de perfiles de la columna de agua de acuerdo con un plan previamente establecido. Estas dos características de la plataforma de observación propuesta, abaratan los costes de producción e incrementarían su eficiencia. El desplazamiento superficial de la plataforma permite la navegación mediante GPS y la comunicación directa y telemetría mediante radiomódem. Las dimensiones del vehículo son 1.885 mm de longitud y 320 de diámetro exterior, y posee un peso de 76 kg. En las pruebas de navegación alcanzó una velocidad de 1.5 m/s a un 80% de potencia de propulsion y una profundidad máxima de 20m. El vehículo posee una propulsión eléctrica con autonomía de 3-5 horas.