Search

El transporte es fuente de numerosas externalidades negativas, como los accidentes de tráfico, la congestión en las zonas urbanas y la falta de calidad del aire. El transporte también es un sector que contribuye sustancialmente a la crisis climática con más del 16% de las emisiones globales de gases de efecto invernadero como resultado de las actividades de transporte. Muchos creen que la introducción de nuevos servicios de movilidad podría ayudar a reducir esas externalidades. Sin embargo, con cada introducción de un nuevo servicio de movilidad podemos observar factores que podrían contribuir negativamente a la sostenibilidad del sistema de transporte: una cadena de cambios de comportamiento causados por la introducción de posibilidades completamente nuevas. El objetivo de esta tesis es investigar cómo los nuevos servicios de movilidad, habilitados por la electrificación, la conectividad y la automatización, podrían impactar en las externalidades causadas por el transporte. En particular, el objetivo es desarrollar y validar un marco de modelado capaz de capturar la complejidad del sistema de transporte y aplicarlo para evaluar el impacto potencial de los vehículos automatizados. Transport is a source of numerous negative externalities, such as road accidents, congestion in urban areas and lacking air quality. Transport is also a sector substantially contributing to climate crisis with more than 16% of global greenhouse gas emissions being a result of transport activities. Many believe that the introduction of new mobility services could help reduce those externalities. However, with each introduction of a new mobility service we can observe factors that could negatively contribute to the sustainability of the transport system – a chain of behavioural changes caused by introduction of entirely new possibilities. The aim of this thesis is to investigate how the new mobility services, enabled by electrification, connectivity and automation, could impact the externalities caused by transport. In particular the objective is to develop and validate a modelling framework able to capture the complexity of the transport system and to apply it to assess the potential impact of automated vehicles. This work was realised with the collaboration of the European Commission Joint Research Centre under the Collaborative Doctoral Partnership Agreement N035297. Moreover, this research has been partially funded by the Spanish Ministry of Science and Innovation through the project: AUTONOMOUS – InnovAtive Urban and Transport planning tOols for the implementation of New mObility systeMs based On aUtonomouS driving”, 2020-2023, ERDF (EU) (PID2019-110355RB-I00).

Energy system has been going through a revolutionary transformation over the past years. The rising adoption of unpredictable, decentralised renewable energy sources is said to accelerate in the next decades. Variable renewable electricity production in many different locations, can often lead to unexpected and unsought for deviations of gird parameters: frequency and voltage. unsought for devi ations of gird parameters: frequency and voltage, or even congestion of the system. Thus, decentralised electricity system would have a surpassing need of flexibility of the system, which could assure proper regulation of frequency and voltage when needed. The consumption of electricity is also viable and not utterly predictable. To avoid the congestion of electrical grid the demand side response concept has been sprouting. One of the new concepts of demand side response measures is aggregation. Aggregated load regulation envisions gathering and managing numerous small loads, in a way that could stop deviations of frequency and voltage in the system or avoid congestion , without bringing any inconveniences for the owner of the load. EVs while charging, are t hose loads that are often mentioned as aggragatable. With the emerge of massive adoption of Electric Vehicle, secondary uses of it are being questioned. One of them is the idea of balancing the ever changing frequency and voltage in the grid with usage of flexibility created by creating various patterns of charging an electric vehicle. This process is known as Smart Charging. This study integrate s previously mentioned innovations of energy system and analyse the potential of aggregation of electric vehicle s for the purpose of providing flexibility to the electricity system. The thesis will be a technical and economic analysis of the possibility of unlocking this potential in Europe. The regulatory and technical aspects of possible demand side response aggr egation development are presented in the thesis , along with the analysis of Electric Vehicles market and its potential. Thereafter, one exemplary market is analysed further, through developed optimisation model, which allows to assess the value of most imp ortant factors for the aggregator. Three key changing variables are considered in the scheme of charge, those are : the targeted group of clients, the power of the used charger, and the scheme of charging. To assess the importance of those variables the stream of revenues as well as the environmental benefits in the form of potential CO 2 emissions savings are analysed against the variables. E 2 F easibility and market assessment for EV scheduling and aggregation in E uropean countries 2 The major aim and finding of this thesis is to answer the question whether it is plausible to profitab ly develop grid balancing with smart charging of electric vehicles in European Free Trade Association membership countries. The reader will only get to know the answer to that question after flicking through the pages of this paper