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The paper investigates the exploitation of the current availability of large amounts of floating car data (FCD) based on individual mobility for characterising car trips for forecasting the potential electric capacity of cars to be used in vehicle-to-grid services. A methodology is proposed which aims to: analyse the current car trips and to infer on the electric ones; characterise the vehicle movements; define the attributes (variables) necessary to develop models for predicting the aggregate capacity supplied by electric vehicles (EVs) to support the needs of the electricity grid. The preliminary results of its implementation in the city of Trani, a town in the Southern Italy, are presented.

Composite CdSe: poly(3-methylthiophene) (P3MT) nanoparticles have been synthesized via polymerization of 3-methylthiophene (3MT) in the presence of CdSe particles of nanorod or dot-like morphology and dispersed in the poly(3-hexylthiophene) (P3HT) matrix. The effect of the P3MT layer to mediate charge and energy transfer between CdSe and P3HT in the ternary nanocomposite system has been studied using electronic absorption, photoluminescence spectroscopy, and current-voltage measurements. The energy level diagram of the composite system has been deduced based on optical and electrochemical data of the separate components of the system. The contribution of the low- and high-molecular fractions of P3MT to control the charge transfer in order to optimize the intermediary role of P3MT is analyzed. Particularly, it was shown that excitation of the low-molecular P3MT leads to energy transfer to both CdSe and P3HT components, and it also serves as a barrier against recombination of electrons and holes separated at CdSe and P3HT, respectively. Thus, the role of the P3MT interlayer in assisting the charge separation and increasing an open-circuit voltage in the photovoltaic cell based on the ternary system is demonstrated. © Springer-Verlag 2012.