Local Electricity Markets for Electric Vehicles: An Application Study Using a Decentralized Iterative Approach

Local electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model appears as a promising structure among the proposed models. The peer-to-peer market structure enables electricity transactions between the players in a local energy system at a lower cost. It promotes the production from the small low–carbon generation technologies. Energy communities can be the ideal place to implement local electricity markets as they are designed to allow for larger growth of renewable energy and electric vehicles, while benefiting from local transactions. In this context, a LEM model is proposed considering an energy community with high penetration of electric vehicles in which prosumer-to-vehicle (P2V) transactions are possible. Each member of the energy community can buy electricity from the retailer or other members and sell electricity. The problem is modeled as a mixed-integer linear programing (MILP) formulation and solved within a decentralized and iterative process. The decentralized implementation provides acceptable solutions with a reasonable execution time, while the centralized implementation usually gives an optimal solution at the expense of reduced scalability. Preliminary results indicate that there are advantages for EVs as participants of the LEM, and the proposed implementation ensures an optimal solution in an acceptable execution time. Moreover, P2V transactions benefit the local distribution grid and the energy community.This work has received funding from FEDER Funds through COMPETE program and from National Funds through (FCT) under the projects CENERGETIC (PTDC/EEI-EEE/28983/2017), CEECIND/02814/2017 (JS grant), SFRH/BD/133086/2017 (RF PhD grant). We also acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team. Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), in the scope of the Program CAPES-PrInt, process number 88887.310463/2018-00, International Cooperation Project number 5-P2-1479.info:eu-repo/semantics/publishedVersio

Designing Augmented Reality Games for Mobile Learning using an Instructional-Motivational Paradigm

Abstract In this paper, several Augmented Reality (AR

Visual modality research in virtual and mixed reality simulation

Military organizations worldwide continue to invest heavily in research, development, and fielding of virtual and mixed reality simulations and simulators for training. However, the future fiscal environment will be challenging for both simulation as well as the US Army as a whole. Thus, wise design decisions must be made when developing virtual simulations for training. In order to optimize the effectiveness of these simulations, developers must employ trade-off analysis and scientific methods to derive empirical evidence, in order to ensure that the simulation under development is optimized to meet the training requirements, while still adhering to cost and schedule constraints. This paper specifically focuses on the task of employing the optimal visual modality in virtual and mixed reality simulations. This paper reviews the literature on training simulation benefits and taxonomy, and examines the training efficacy of virtual and mixed reality simulation. Major concepts and applications of virtual and mixed reality simulation training efficacy are discussed. A key component of virtual simulation, visual modality, is examined through a literature review and recommendations for visual display design parameters are provided