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This paper presents a numerical approach based on the finite element method for the estimation of AC interference on buried metallic pipelines sharing the same right-of-way of power transmission lines in presence of mitigation wires. The proposed approach relies on a hybrid technique in order to reduce the mesh size and, in turn, the computational time. The feasibility of the method is demonstrated with application to a standard interference configuration. Some tests were performed in order to assess how the position and material of the mitigation wires affect the induced current on a buried metallic pipeline.

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This paper presents an approach for modelling the charging probability of electric vehicles as a Gaussian mixture model. The model is built up by assembling adapted multivari-ate normal probability density functions. This is done because the expectation maximization algorithm fails finding maximum likelihood estimates in respect of the charging power of the generated charging profiles. This Gaussian mixture model enables for capturing the charging profiles comprehensively with a few parameters and therefore it enables for calculating the charging probability dynamically for individual parameter intervals. The underlying assumptions about battery capacity, consumption, charging infrastructure, type of weekday and settlement structure determine the generation of the charging profiles. The proposed approach makes these parameters available for the density. Thereby, the provision of the charging profiles gets obsolete. This density can be used for a convolution based power flow analysis which offers benefits regarding the computational effort and random access memory usage com-pared to Monte Carlo-like simulations.

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In 2016 a new law for public contract was approved in Italy also aimed at improving the national and local sustainable transport planning. The Italian government has also adopted new 'Guidelines for assessment the Investment Projects' derived from the European Commission indications about the external costs of transport estimation in the Cost-Benefit Analysis. Starting from these considerations, the aim of this paper was to propose a new methodology, in compliance with the Italian guidelines, for the estimation of the external costs of transport in a Cost-Benefit Analysis. The application case study was a new tourist railway line in Lazio Region. The external costs estimated were the variations in term of: climate change, air pollution, noises, congestion and road accident. Estimations results allow to conclude that there is a social convenience of this new rail infrastructure because: i) a positive Net Present Value equal to about 27 M€ was estimated; ii) an Internal Rate of Return much greater than the discount rate (9% vs. 3%) was observed; iii) a benefit/cost ratio equal to 2 and a PayBack Period of 15 years was quantified. The overall amount (in monetary value) of external costs saved is about 360 thousand Euros/year (2016 prices) with a cumulative value, for all the life-period considered (30 years), equal to 11 million of Euros.

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3rd International Hydrogen Technologies Congress (IHTEC) -- MAR 15-18, 2018 -- Alanya Alaaddin Keykubat Univ, TURKEY WOS: 000477092000031 With the acceleration of the development process of hydrogen fuel cell electric vehicles (HFCEV), it has become very important to maximize the energy stored in the vehicle and to use the vehicle with high efficiency. This paper puts forward how to cooperate with a proton exchange membrane fuel cell (PEMFC) as the primary energy source, a lithium-ion battery (LiB) and a supercapacitor (SCAP) as the energy storage technology. Furthermore, this paper examines the effect of two new control strategies developed for HFCEV in different road models on the vehicle fuel economy and life cycle of the system components. Both control strategies applied to the system can be easily applied to the different HFCEVs with minor changes due to the simplicity of their structure and parameters. The simulation results of the study have indicated that the impact of control strategies created in different road conditions on the power of energy sources, the life cycle of system components, system efficiency and fuel economy parameters of HFCEV. (C) 2018 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.