A4A_4 Group and Tri-bimaximal Neutrino Mixing -- A Renormalizable Model

The tetrahedron $A_4$ group has been widely used in studying neutrino mixing matrix. It provides a natural framework of model building for the tri-bimaximal mixing matrix. In this class of models, it is necessary to have two Higgs fields, $\chi$ and $\chi'$, transforming under $A_4$ as 3 with one of them having vacuum expectation values for the three components to be equal and another having only one of the components to be non-zero. These specific vev structures require separating $\chi$ and $\chi'$ from communicating with each other. The clash of the different vev structures for $\chi$ and $\chi'$ is the so called sequestering problem. In this work, I show that it is possible to construct renormalizable supersymmetric models producing the tri-bimaximal neutrino mixing with no sequestering problem.Comment: 4 page

Optimal Fully Electric Vehicle load balancing with an ADMM algorithm in Smartgrids

In this paper we present a system architecture and a suitable control methodology for the load balancing of Fully Electric Vehicles at Charging Station (CS). Within the proposed architecture, control methodologies allow to adapt Distributed Energy Resources (DER) generation profiles and active loads to ensure economic benefits to each actor. The key aspect is the organization in two levels of control: at local level a Load Area Controller (LAC) optimally calculates the FEVs charging sessions, while at higher level a Macro Load Area Aggregator (MLAA) provides DER with energy production profiles, and LACs with energy withdrawal profiles. Proposed control methodologies involve the solution of a Walrasian market equilibrium and the design of a distributed algorithm.Comment: This paper has been accepted for the 21st Mediterranean Conference on Control and Automation, therefore it is subjected to IEEE Copyrights. See IEEE copyright notice at http://www.ieee.org/documents/ieeecopyrightform.pd

National Environmental Policy and the Global Success of Next-Generation Automobiles

In this article, we identify the most crucial factors for the potential world market success of different alternative car designs: fuel cell vehicles (FCVs), hybrid electric vehicles (HEVs), battery electric vehicles (BEVs), and conventional fuel efficient vehicles (FEVs). We first assess which vehicle concept is favoured under which regulation regime. We suggest that the global success of a certain technology critically depends on the ability of a regional lead mar-ket to leverage and transfer its local success, through large cost reductions or the international diffusion of a pioneering environmental regulation for instance. Although FCVs are still in the demonstration phase, the US has set the stage for a direct switch to FCVs. The Japanese regulatory regime favours HEVs as the next-generation engine design, while the development of the traditional combustion engine towards enhanced fuel efficiency is most likely in Europe. Due to the high cost of FCVs and the lack of strict regula-tion supporting this radical innovation, incremental innovations such as new versions of con-ventional combustion engines and hybrid cars have the best chances of becoming globally successful.Lead market, Environmental technologies, Zero emission vehicles, Fuel efficient cars

Simulation Platform for Coordinated Charging of Electric Vehicles

EMERALD is a project funded by the European Commission under the FP7 program focusing on energy use optimization on the integration of the FEVs into the transport and energy infrastructure. Between the objectives of EMERALD, enhanced power demand prediction and power flow support management system uses the power flow demand simulation platform considered in this paper. The power flow demand simulation platform is a software tool that defines the estimation of FEVs power demand according to different conditions as, arrival and departure curves, the estimation of power production based on renewable energy sources and the electricity cost. The tool coordinates scheduling for charging of FEVs in order to minimize the recharging cost, considering the energy balance between the generation and demand powerEuropean commission's FP