PDR with a foot-mounted IMU and ramp detection

The localization of persons in indoor environments is nowadays an open problem. There are partial solutions based on the deployment of a network of sensors (Local Positioning Systems or LPS). Other solutions only require the installation of an inertial sensor on the person’s body (Pedestrian Dead-Reckoning or PDR). PDR solutions integrate the signals coming from an Inertial Measurement Unit (IMU), which usually contains 3 accelerometers and 3 gyroscopes. The main problem of PDR is the accumulation of positioning errors due to the drift caused by the noise in the sensors. This paper presents a PDR solution that incorporates a drift correction method based on detecting the access ramps usually found in buildings. The ramp correction method is implemented over a PDR framework that uses an Inertial Navigation algorithm (INS) and an IMU attached to the person’s foot. Unlike other approaches that use external sensors to correct the drift error, we only use one IMU on the foot. To detect a ramp, the slope of the terrain on which the user is walking, and the change in height sensed when moving forward, are estimated from the IMU. After detection, the ramp is checked for association with one of the existing in a database. For each associated ramp, a position correction is fed into the Kalman Filter in order to refine the INS-PDR solution. Drift-free localization is achieved with positioning errors below 2 meters for 1,000-meter-long routes in a building with a few ramps.

Decelerator elements for ramp transfer points in fruit packing lines

Two different decelerator elements used to reduce impacts on fruits on ramp transfer points in fruit packing lines were designed and tested. The performance of these elements, a powered decelerator and a multiple curtain, was compared to commercial decelerators (blankets). A ramp of length 60 cm was placed at an angle of 30º in an experimental fruit packing line between a roller transporter and a conveyor. The decelerators were placed on top of the ramp. Different tests were carried out to study the performance of the decelerators using instrumented spheres (IS 100) of various sizes. Results showed that decelerators can reduce the impact intensity down to safe thresholds. The powered decelerator was the most effective because it reduced the speed of fruits and did not cause retention of the fruit, when correctly regulated.

Statistical models for short-term wind power ramp forecasting

La predicción de energía eólica ha desempeñado en la última década un papel fundamental en el aprovechamiento de este recurso renovable, ya que permite reducir el impacto que tiene la naturaleza fluctuante del viento en la actividad de diversos agentes implicados en su integración, tales como el operador del sistema o los agentes del mercado eléctrico. Los altos niveles de penetración eólica alcanzados recientemente por algunos países han puesto de manifiesto la necesidad de mejorar las predicciones durante eventos en los que se experimenta una variación importante de la potencia generada por un parque o un conjunto de ellos en un tiempo relativamente corto (del orden de unas pocas horas). Estos eventos, conocidos como rampas, no tienen una única causa, ya que pueden estar motivados por procesos meteorológicos que se dan en muy diferentes escalas espacio-temporales, desde el paso de grandes frentes en la macroescala a procesos convectivos locales como tormentas. Además, el propio proceso de conversión del viento en energía eléctrica juega un papel relevante en la ocurrencia de rampas debido, entre otros factores, a la relación no lineal que impone la curva de potencia del aerogenerador, la desalineación de la máquina con respecto al viento y la interacción aerodinámica entre aerogeneradores. En este trabajo se aborda la aplicación de modelos estadísticos a la predicción de rampas a muy corto plazo. Además, se investiga la relación de este tipo de eventos con procesos atmosféricos en la macroescala. Los modelos se emplean para generar predicciones de punto a partir del modelado estocástico de una serie temporal de potencia generada por un parque eólico. Los horizontes de predicción considerados van de una a seis horas. Como primer paso, se ha elaborado una metodología para caracterizar rampas en series temporales. La denominada función-rampa está basada en la transformada wavelet y proporciona un índice en cada paso temporal. Este índice caracteriza la intensidad de rampa en base a los gradientes de potencia experimentados en un rango determinado de escalas temporales. Se han implementado tres tipos de modelos predictivos de cara a evaluar el papel que juega la complejidad de un modelo en su desempeño: modelos lineales autorregresivos (AR), modelos de coeficientes variables (VCMs) y modelos basado en redes neuronales (ANNs). Los modelos se han entrenado en base a la minimización del error cuadrático medio y la configuración de cada uno de ellos se ha determinado mediante validación cruzada. De cara a analizar la contribución del estado macroescalar de la atmósfera en la predicción de rampas, se ha propuesto una metodología que permite extraer, a partir de las salidas de modelos meteorológicos, información relevante para explicar la ocurrencia de estos eventos. La metodología se basa en el análisis de componentes principales (PCA) para la síntesis de la datos de la atmósfera y en el uso de la información mutua (MI) para estimar la dependencia no lineal entre dos señales. Esta metodología se ha aplicado a datos de reanálisis generados con un modelo de circulación general (GCM) de cara a generar variables exógenas que posteriormente se han introducido en los modelos predictivos. Los casos de estudio considerados corresponden a dos parques eólicos ubicados en España. Los resultados muestran que el modelado de la serie de potencias permitió una mejora notable con respecto al modelo predictivo de referencia (la persistencia) y que al añadir información de la macroescala se obtuvieron mejoras adicionales del mismo orden. Estas mejoras resultaron mayores para el caso de rampas de bajada. Los resultados también indican distintos grados de conexión entre la macroescala y la ocurrencia de rampas en los dos parques considerados. Abstract One of the main drawbacks of wind energy is that it exhibits intermittent generation greatly depending on environmental conditions. Wind power forecasting has proven to be an effective tool for facilitating wind power integration from both the technical and the economical perspective. Indeed, system operators and energy traders benefit from the use of forecasting techniques, because the reduction of the inherent uncertainty of wind power allows them the adoption of optimal decisions. Wind power integration imposes new challenges as higher wind penetration levels are attained. Wind power ramp forecasting is an example of such a recent topic of interest. The term ramp makes reference to a large and rapid variation (1-4 hours) observed in the wind power output of a wind farm or portfolio. Ramp events can be motivated by a broad number of meteorological processes that occur at different time/spatial scales, from the passage of large-scale frontal systems to local processes such as thunderstorms and thermally-driven flows. Ramp events may also be conditioned by features related to the wind-to-power conversion process, such as yaw misalignment, the wind turbine shut-down and the aerodynamic interaction between wind turbines of a wind farm (wake effect). This work is devoted to wind power ramp forecasting, with special focus on the connection between the global scale and ramp events observed at the wind farm level. The framework of this study is the point-forecasting approach. Time series based models were implemented for very short-term prediction, this being characterised by prediction horizons up to six hours ahead. As a first step, a methodology to characterise ramps within a wind power time series was proposed. The so-called ramp function is based on the wavelet transform and it provides a continuous index related to the ramp intensity at each time step. The underlying idea is that ramps are characterised by high power output gradients evaluated under different time scales. A number of state-of-the-art time series based models were considered, namely linear autoregressive (AR) models, varying-coefficient models (VCMs) and artificial neural networks (ANNs). This allowed us to gain insights into how the complexity of the model contributes to the accuracy of the wind power time series modelling. The models were trained in base of a mean squared error criterion and the final set-up of each model was determined through cross-validation techniques. In order to investigate the contribution of the global scale into wind power ramp forecasting, a methodological proposal to identify features in atmospheric raw data that are relevant for explaining wind power ramp events was presented. The proposed methodology is based on two techniques: principal component analysis (PCA) for atmospheric data compression and mutual information (MI) for assessing non-linear dependence between variables. The methodology was applied to reanalysis data generated with a general circulation model (GCM). This allowed for the elaboration of explanatory variables meaningful for ramp forecasting that were utilized as exogenous variables by the forecasting models. The study covered two wind farms located in Spain. All the models outperformed the reference model (the persistence) during both ramp and non-ramp situations. Adding atmospheric information had a noticeable impact on the forecasting performance, specially during ramp-down events. Results also suggested different levels of connection between the ramp occurrence at the wind farm level and the global scale.

A wavelet-based approach for large wind power ramp characterisation

A wavelet-based approach for large wind power ramp characterisation

Storage requirements for PV power ramp-rate control

Short-term variability in the power generated by large grid-connected photovoltaic (PV) plants can negatively affect power quality and the network reliability. New grid-codes require combining the PV generator with some form of energy storage technology in order to reduce short-term PV power fluctuation. This paper proposes an effective method in order to calculate, for any PV plant size and maximum allowable ramp-rate, the maximum power and the minimum energy storage requirements alike. The general validity of this method is corroborated with extensive simulation exercises performed with real 5-s one year data of 500 kW inverters at the 38.5 MW Amaraleja (Portugal) PV plant and two other PV plants located in Navarra (Spain), at a distance of more than 660 km from Amaraleja.

Detecting and characterising ramp events in wind power time series

In order to implement accurate models for wind power ramp forecasting, ramps need to be previously characterised. This issue has been typically addressed by performing binary ramp/non-ramp classifications based on ad-hoc assessed thresholds. However, recent works question this approach. This paper presents the ramp function, an innovative wavelet- based tool which detects and characterises ramp events in wind power time series. The underlying idea is to assess a continuous index related to the ramp intensity at each time step, which is obtained by considering large power output gradients evaluated under different time scales (up to typical ramp durations). The ramp function overcomes some of the drawbacks shown by the aforementioned binary classification and permits forecasters to easily reveal specific features of the ramp behaviour observed at a wind farm. As an example, the daily profile of the ramp-up and ramp-down intensities are obtained for the case of a wind farm located in Spain

A review on the recent history of wind power ramp forecasting.

Forecasting large and fast variations of wind power (the so called ramps) helps achieve the integration of large amounts of wind energy. This paper presents a survey on wind power ramp forecasting, reflecting the increasing interest on this topic observed since 2007. Three main aspects were identified from the literature: wind power ramp definition, ramp underlying meteorological causes and experi-ences in predicting ramps. In this framework, we additionally outline a number of recommendations and potential lines of research.

Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data.

Forecasting abrupt variations in wind power generation (the so-called ramps) helps achieve large scale wind power integration. One of the main issues to be confronted when addressing wind power ramp forecasting is the way in which relevant information is identified from large datasets to optimally feed forecasting models. To this end, an innovative methodology oriented to systematically relate multivariate datasets to ramp events is presented. The methodology comprises two stages: the identification of relevant features in the data and the assessment of the dependence between these features and ramp occurrence. As a test case, the proposed methodology was employed to explore the relationships between atmospheric dynamics at the global/synoptic scales and ramp events experienced in two wind farms located in Spain. The achieved results suggested different connection degrees between these atmospheric scales and ramp occurrence. For one of the wind farms, it was found that ramp events could be partly explained from regional circulations and zonal pressure gradients. To perform a comprehensive analysis of ramp underlying causes, the proposed methodology could be applied to datasets related to other stages of the wind-topower conversion chain.

Optimizing Bottom Subcells for III-V-on-Si MultiJunction Solar Cells

Dual-junction solar cells formed by a GaAsP or GaInP top cell and a silicon bottom cell seem to be attractive candidates to materialize the long sought-for integration of III-V materials on silicon for photovoltaic applications. Such integration would offer a cost breakthrough for photovoltaic technology, unifying the low cost of silicon and the efficiency potential of III-V multijunction solar cells. In this study, we analyze several factors influencing the performance of the bottom subcell of this dual-junction, namely, 1) the formation of the emitter as a result of the phosphorus diffusion that takes place during the prenucleation temperature ramp and during the growth of the III-V layers; 2) the degradation in surface morphology during diffusion; and 3) the quality needed for the passivation provided by the GaP layer on the emitter.

Contribution of re-regulation reservoirs considering pumping capability to environmentally friendly hydropower operation

Environmental constraints imposed on hydropoweroperation are usually given in the form of minimum environmental flows and maximum and minimum rates of change of flows, or ramp rates. One solution proposed to mitigate the environmental impact caused by the flows discharged by a hydropower plant while reducing the economic impact of the above-mentioned constraints consists in building a re-regulationreservoir, or afterbay, downstream of the power plant. Adding pumpingcapability between the re-regulationreservoir and the main one could contribute both to reducing the size of the re-regulationreservoir, with the consequent environmental improvement, and to improving the economic feasibility of the project, always fulfilling the environmental constraints imposed to hydropoweroperation. The objective of this paper is studying the contribution of a re-regulationreservoir to fulfilling the environmental constraints while reducing the economic impact of said constraints. For that purpose, a revenue-driven optimization model based on mixed integer linear programming is used. Additionally, the advantages of adding pumpingcapability are analysed. In order to illustrate the applicability of the methodology, a case study based on a real hydropower plant is presented

Anticorrelation between Ion Acceleration and Nonlinear Coherent Structures from Laser-Underdense Plasma Interaction

In laser-plasma experiments, we observed that ion acceleration from the Coulomb explosion of the plasma channel bored by the laser, is prevented when multiple plasma instabilities such as filamentation and hosing, and nonlinear coherent structures (vortices/post-solitons) appear in the wake of an ultrashort laser pulse. The tailoring of the longitudinal plasma density ramp allows us to control the onset of these insabilities. We deduced that the laser pulse is depleted into these structures in our conditions, when a plasma at about 10% of the critical density exhibits a gradient on the order of 250 {\mu}m (gaussian fit), thus hindering the acceleration. A promising experimental setup with a long pulse is demonstrated enabling the excitation of an isolated coherent structure for polarimetric measurements and, in further perspectives, parametric studies of ion plasma acceleration efficiency.

Application of noise analysis for sensor surveillance in Trillo NPP

It is a known fact that noise analysis is a suitable method for sensor performance surveillance. In particular, controlling the response time of a sensor is an efficient way to anticipate failures and to have the opportunity to prevent them. In this work the response times of several sensors of Trillo NPP are estimated by means of noise analysis. The procedure applied consists of modeling each sensor with autoregressive methods and getting the searched parameter by analyzing the response of the model when a ramp is simulated as the input signal. Core exit thermocouples and in core self-powered neutron detectors are the main sensors analyzed but other plant sensors are studied as well. Since several measurement campaigns have been carried out, it has been also possible to analyze the evolution of the estimated parameters during more than one fuel cycle. Some sensitivity studies for the sample frequency of the signals and its influence on the response time are also included. Calculations and analysis have been done in the frame of a collaboration agreement between Trillo NPP operator (CNAT) and the School of Mines of Madrid.

Identifying Potential Risks and Benefits of Using Cloud in Distributed Software Development.

Cloud-based infrastructure has been increasingly adopted by the industry in distributed software development (DSD) environments. Its proponents claim that its several benefits include reduced cost, increased speed and greater productivity in software development. Empirical evaluations, however, are in the nascent stage of examining both the benefits and the risks of cloud-based infrastructure. The objective of this paper is to identify potential benefits and risks of using cloud in a DSD project conducted by teams based in Helsinki and Madrid. A cross-case qualitative analysis is performed based on focus groups conducted at the Helsinki and Madrid sites. Participants observations are used to supplement the analysis. The results of the analysis indicated that the main benefits of using cloud are rapid development, continuous integration, cost savings, code sharing, and faster ramp-up. The key risks determined by the project are dependencies, unavailability of access to the cloud, code commitment and integration, technical debt, and additional support costs. The results revealed that if such environments are not planned and set up carefully, the benefits of using cloud in DSD projects might be overshadowed by the risks associated with it.

Performance assessment of an architecture with adaptative interfaces for people with special needs

People in industrial societies carry more and more portable electronic devices (e.g., smartphone or console) with some kind of wireles connectivity support. Interaction with auto-discovered target devices present in the environment (e.g., the air conditioning of a hotel) is not so easy since devices may provide inaccessible user interfaces (e.g., in a foreign language that the user cannot understand). Scalability for multiple concurrent users and response times are still problems in this domain. In this paper, we assess an interoperable architecture, which enables interaction between people with some kind of special need and their environment. The assessment, based on performance patterns and antipatterns, tries to detect performance issues and also tries to enhance the architecture design for improving system performance. As a result of the assessment, the initial design changed substantially. We refactorized the design according to the Fast Path pattern and The Ramp antipattern. Moreover, resources were correctly allocated. Finally, the required response time was fulfilled in all system scenarios. For a specific scenario, response time was reduced from 60 seconds to less than 6 seconds.

La Península Ibérica en el transporte masivo de mercancías entre Europa y África : futuras autopistas del mar

La competitividad del transporte de mercancías depende del estado y funcionamiento de las redes existentes y de sus infraestructuras, no del modo de transporte. En concreto, la rentabilidad o la reducción de los costes de producción del transporte marítimo se vería incrementado con el uso de buques de mayor capacidad y con el desarrollo de plataformas portuarias de distribución o puertos secos, ya que el 90% del comercio entre la Unión Europea y terceros países se realiza a través de sus puertos a un promedio de 3,2 billones de toneladas de mercancías manipuladas cada año y el 40% del tráfico intraeuropeo utiliza el transporte marítimo de corta distancia. A pesar de que los puertos europeos acogen anualmente a más de 400 millones de pasajeros, los grandes desarrollos se han producido en los puertos del norte de Europa (Róterdam, Amberes, Ámsterdam). Los países del Sur de Europa deben buscar nuevas fórmulas para ser más competitivos, ya sea mediante creación de nuevas infraestructuras o mediante refuerzo de las existentes, ofreciendo los costes de los puertos del Norte. El fomento del transporte marítimo y fluvial como alternativa al transporte por carretera, especialmente el transporte marítimo de corta distancia, ha sido impulsado por la Comisión Europea (CE) desde 2003 a través de programas de apoyo comunitario de aplicación directa a las Autopistas del Mar, a modo de ejemplo, cabría citar los programas Marco Polo I y II, los cuales contaron con una dotación presupuestaria total de 855 millones de euros para el período 2003 – 2013; en ese período de tiempo se establecieron objetivos de reducción de congestión vial y mejora del comportamiento medio ambiental del sistema de transporte de mercancías dentro de la comunidad y la potenciación de la intermodalidad. El concepto de Autopista del Mar surge en el Libro Blanco de Transportes de la Comisión Europea “La política europea de transportes de cara al 2010: La hora de la verdad” del 12 de diciembre de 2001, en el marco de una política europea para fomento y desarrollo de sistemas de transportes sostenibles. Las Autopistas del Mar consisten en rutas marítimas de corta distancia entre dos puntos, de menor distancia que por vía terrestre, en las que a través del transporte intermodal mejoran significativamente los tiempos y costes de la cadena logística, contribuyen a la reducción de accidentes, ruidos y emisiones de CO2 a la atmósfera, permite que los conductores pierdan horas de trabajo al volante y evita el deterioro de las infraestructuras terrestres, con el consiguiente ahorro en mantenimiento. La viabilidad de una Autopista del Mar depende tanto de factores de ubicación geográficos, como de características propias del puerto, pasando por los diferentes requerimientos del mercado en cada momento (energéticos, medio ambientales y tecnológicos). Existe un elemento nuevo creado por la Comisión Europea: la red transeuropea de transportes (RTE-T). En el caso de España, con sus dos accesos por los Pirineos (La Junquera e Irún) como únicos pasos terrestres de comunicación con el continente y con importantes limitaciones ferroviarias debido a los tres anchos de vía distintos, le resta competitividad frente al conjunto europeo; por el contrario, España es el país europeo con más kilómetros de costa (con más de 8.000 km) y con un emplazamiento geográfico estratégico, lo que le convierte en una plataforma logística para todo el sur de Europa, por lo que las Autopistas del Mar tendrán un papel importante y casi obligado para el desarrollo de los grandes corredores marítimos que promueve Europa. De hecho, Gijón y Vigo lo han hecho muy bien con sus respectivas líneas definidas como Autopistas del Mar y que conectan con el puerto francés de Nantes-Saint Nazaire, ya que desde ahí los camiones pueden coger rutas hacia el Norte. Paralelamente, la Unión Europea ha iniciado los pasos para el impulso de la primera Autopista del Mar que conectará España con el mercado de Reino Unido, concretamente los Puertos de Bilbao y Tilbury. Además, España e Italia sellaron un acuerdo internacional para desarrollar Autopistas del Mar entre ambos países, comprometiéndose a impulsar una docena de rutas entre puertos del litoral mediterráneo español y el italiano. Actualmente, están en funcionando los trayectos como Barcelona-Génova, Valencia-Civitavecchia y Alicante- Nápoles, notablemente más cortos por mar que por carretera. Bruselas identificó cuatro grandes corredores marítimos que podrían concentrar una alta densidad de tráfico de buques, y en dos de ellos España ya tenía desde un principio un papel crucial. La Comisión diseñó el 14 de abril de 2004, a través del proyecto West-Mos, una red de tráfico marítimo que tiene como vías fundamentales la denominada Autopista del Báltico (que enlaza Europa central y occidental con los países bálticos), la Autopista de Europa suroriental (que une el Adriático con el Jónico y el Mediterráneo más oriental) y también la Autopista de Europa occidental y la Autopista de Europa suroccidental (que enlazan España con Reino Unido y la Francia atlántica y con la Francia mediterránea e Italia, respectivamente). Para poder establecer Autopistas del Mar entre la Península Ibérica y el Norte de Europa primará especialmente la retirada de camiones en la frontera pirenaica, donde el tráfico pesado tiene actualmente una intensidad media diaria de 8.000 unidades, actuando sobre los puntos de mayor congestión, como por ejemplo los Alpes, los Pirineos, el Canal de la Mancha, las carreteras fronterizas de Francia y Euskadi, y proponiendo el traslado de las mercancías en barcos o en trenes. Por su parte, para contar con los subsidios y apoyos europeos las rutas seleccionadas como Autopistas del Mar deben mantener una serie de criterios de calidad relacionados con la frecuencia, coste “plataforma logística a plataforma logística”, simplicidad en procedimientos administrativos y participación de varios países, entre otros. Los estudios consideran inicialmente viables los tramos marítimos superiores a 450 millas, con un volumen de unas 15.000 plataformas al año y que dispongan de eficientes comunicaciones desde el puerto a las redes transeuropeas de autopistas y ferrocarril. Otro objetivo de las Autopistas del Mar es desarrollar las capacidades portuarias de forma que se puedan conectar mejor las regiones periféricas a escala del continente europeo. En lo que a Puertos se refiere, las terminales en los muelles deben contar con una línea de atraque de 250 m., un calado superior a 8 m., una rampa “ro-ro” de doble calzada, grúas portainer, y garantizar operatividad para un mínimo de dos frecuencias de carga semanales. El 28 de marzo de 2011 se publicó el segundo Libro Blanco sobre el futuro del transporte en Europa “Hoja de ruta hacia un espacio único europeo de transporte: por una política de transportes competitiva y sostenible”, donde se definió el marco general de las acciones a emprender en los próximos diez años en el ámbito de las infraestructuras de transporte, la legislación del mercado interior, la reducción de la dependencia del carbono, la tecnología para la gestión del tráfico y los vehículos limpios, así como la estandarización de los distintos mercados. Entre los principales desafíos se encuentran la eliminación de los cuellos de botella y obstáculos diversos de nuestra red europea de transporte, minimizar la dependencia del petróleo, reducir las emisiones de GEI en un 60% para 2050 con respecto a los niveles de 1990 y la inversión en nuevas tecnologías e infraestructuras que reduzcan estas emisiones de transporte en la UE. La conexión entre la UE y el norte de África provoca elevados niveles de congestión en los puntos más críticos del trayecto: frontera hispano-francesa, corredor del Mediterráneo y el paso del estrecho. A esto se le añade el hecho de que el sector del transporte por carretera está sujeto a una creciente competencia de mercado motivada por la eliminación de las barreras europeas, mayores exigencias de los cargadores, mayores restricciones a los conductores y aumento del precio del gasóleo. Por otro lado, el mercado potencial de pasajeros tiene una clara diferenciación en tipos de flujos: los flujos en el período extraordinario de la Operación Paso del Estrecho (OPE), enfocado principalmente a marroquíes que vuelven a su país de vacaciones; y los flujos en el período ordinario, enfocado a la movilidad global de la población. Por tanto, lo que se pretende conseguir con este estudio es analizar la situación actual del tráfico de mercancías y pasajeros con origen o destino la península ibérica y sus causas, así como la investigación de las ventajas de la creación de una conexión marítima (Autopista del Mar) con el Norte de África, basándose en los condicionantes técnicos, administrativos, económicos, políticos, sociales y medio ambientales. The competitiveness of freight transport depends on the condition and operation of existing networks and infrastructure, not the mode of transport. In particular, profitability could be increased or production costs of maritime transport could be reduced by using vessels with greater capacity and developing port distribution platforms or dry ports, seeing as 90% of trade between the European Union and third countries happens through its ports. On average 3,2 billion tonnes of freight are handled annualy and 40% of intra-European traffic uses Short Sea Shipping. In spite of European ports annually hosting more than 400 million passengers, there have been major developments in the northern European ports (Rotterdam, Antwerp, Amsterdam). Southern European countries need to find new ways to be more competitive, either by building new infrastructure or by strengthening existing infrastructure, offering costs northern ports. The use of maritime and river transport as an alternative to road transport, especially Short Sea Shipping, has been driven by the European Commission (EC) from 2003 through community support programs for the Motorways of the Sea. These programs include, for example, the Marco Polo I and II programs, which had a total budget of 855 million euros for the period 2003-2013. During this time objectives were set for reducing road congestion, improving the environmental performance of the freight transport system within the community and enhancing intermodal transport. The “Motorway of the Sea” concept arises in the European Commission’s Transport White Paper "European transport policy for 2010: time to decide" on 12 December 2001, as part of a European policy for the development and promotion of sustainable transport systems. A Motorway of the Sea is defined as a short sea route between two points, covering less distance than by road, which provides a significant improvement in intermodal transport times and to the cost supply chain. It contributes to reducing accidents, noise and CO2 emissions, allows drivers to shorten their driving time and prevents the deterioration of land infrastructure thereby saving on maintenance costs. The viability of a Motorway of the Sea depends as much on geographical location factors as on characteristics of the port, taking into account the different market requirements at all times (energy, environmental and technological). There is a new element created by the European Commission: the trans-European transport network (TEN-T). In the case of Spain, with its two access points in the Pyrenees (La Junquera and Irun) as the only land crossings connected to the mainland and major railway limitations due to the three different gauges, it appears less competitive compared to Europe as a whole. However, Spain is the European country with the most kilometers of coastline (over 8,000 km) and a strategic geographical location, which makes it a logistics platform for the all of Southern Europe. This is why the Motorways of the Sea will have an important role, and an almost necessary one to develop major maritime corridors that Europe supports. In fact, Gijon and Vigo have done very well with their respective sea lanes defined as Motorways of the Sea and which connect with the French port of Nantes-Saint Nazaire, as from there trucks can use nort-heading routes. In parallel, the European Union has taken the first steps to boost the first Motorway of the Sea linking Spain to the UK market, specifically the ports of Bilbao and Tilbury. Furthermore, Spain and Italy sealed an international agreement to develop Motorways of the Sea between both countries, pledging to develop a dozen routes between ports on the Spanish and Italian Mediterranean coasts. Currently, there are sea lanes already in use such as Barcelona-Genova, Valencia-Civitavecchia and Alicante-Naples, these are significantly shorter routes by sea than by road. Brussels identified four major maritime corridors that could hold heavy concentrate shipping traffic, and Spain had a crucial role in two of these from the beginning. On 14 April 2004 the Commission planned through the West-Mos project, a network of maritime traffic which includes the essential sea passages the so-called Baltic Motorway (linking Central and Western Europe with the Baltic countries), the southeast Europe Motorway (linking the Adriatic to the Ionian and eastern Mediterranean Sea), the Western Europe Motorway and southwestern Europe Motorway (that links Spain with Britain and the Atlantic coast of France and with the French Mediterranean coast and Italy, respectively). In order to establish Motorways of the Sea between the Iberian Peninsula and Northern Europe especially, it is necessary to remove trucks from the Pyrenean border, where sees heavy traffic (on average 8000 trucks per day) and addressing the points of greatest congestion, such as the Alps, the Pyrenees, the English Channel, the border roads of France and Euskadi, and proposing the transfer of freight on ships or trains. For its part, in order to receive subsidies and support from the European Commission, the routes selected as Motorways of the Sea should maintain a series of quality criteria related to frequency, costs "from logistics platform to logistics platform," simplicity in administrative procedures and participation of several countries, among others. To begin with, studies consider viable a maritime stretch of at least 450 miles with a volume of about 15,000 platforms per year and that have efficient connections from port to trans-European motorways and rail networks. Another objective of the Motorways of the Sea is to develop port capacity so that they can better connect peripheral regions across the European continent. Referring ports, the terminals at the docks must have a berthing line of 250 m., a draft greater than 8 m, a dual carriageway "ro-ro" ramp, portainer cranes, and ensure operability for a minimum of two loads per week. On 28 March 2011 the second White Paper about the future of transport in Europe "Roadmap to a Single European Transport Area – Towards a competitive and resource efficient transport system" was published. In this Paper the general framework of actions to be undertaken in the next ten years in the field of transport infrastructure was defined, including internal market legislation, reduction of carbon dependency, traffic management technology and clean vehicles, as well as the standardization of different markets. The main challenges are how to eliminate bottlenecks and various obstacles in our European transport network, minimize dependence on oil, reduce GHG emissions by 60% by 2050 compared to 1990 levels and encourage investment in new technologies and infrastructure that reduce EU transport emissions. The connection between the EU and North Africa causes high levels of congestion on the most critical points of the journey: the Spanish-French border, the Mediterranean corridor and Gibraltar Strait. In addition to this, the road transport sector is subject to increased market competition motivated by the elimination of European barriers, greater demands of shippers, greater restrictions on drivers and an increase in the price of diesel. On the other hand, the potential passenger market has a clear differentiation in type of flows: flows in the special period of the Crossing the Straits Operation (CSO), mainly focused on Moroccans who return home on vacation; and flows in the regular session, focused on the global mobile population. Therefore, what I want to achieve with this study is present an analysis of the current situation of freight and passengers to or from the Iberian Peninsula and their causes, as well as present research on the advantages of creating a maritime connection (Motorways of the Sea) with North Africa, based on the technical, administrative, economic, political, social and environmental conditions.