Retos del desarrollo de videojuegos en España.

Artículo para la sección Tribuna de adComunica

Memoria histórica femenina en Sevilla a través de placas y mosaicos conmemorativos

En la siguiente investigación se aborda la memoria histórica femenina existente en Sevilla en la actualidad centrándonos en la localización de placas y mosaicos. Conforme ha ido pasando el tiempo, la ciudad ha evolucionado de una forma más o menos avanzada en temas transversales como las infraestructuras, la educación o la religión, sin embargo, debido a su rigor histórico, las imágenes, edificios y reconocimientos personales que la conforman no han seguido a dicho progreso en cuanto a la representatividad del sexo femenino se refiere. Localizado el lugar ocupado por las placas conmemorativas que hoy en día dan imagen a la capital hispalense, este trabajo se adentra en el mérito y reconocimiento de cada mujer para ser representada, realizando una visión global de las diferencias existentes entre el sexo masculino y femenino.The following historical research is about women's historical memory of Seville, focusing on commemorative plaques, mainly. Throughout history, the city has evolved in one more or less advanced on cross-cutting themes such as infrastructure, education or religion. However, due to its historical accuracy, images, buildings and personal recognitions that comprise it have not followed this progress in terms of the representativeness of the female sex. Having located and identified the commemorative plaques that today define the image of Seville, this research delves into the on merit and recognition of each woman to be represented, making an overview of the differences between woman and men

Juan Iglesias. Memoria de un Maestro Complutense

Sin resume

Batteries and Supercapacitors Aging

Electrochemical energy storage is a key element of systems in a wide range of sectors, such as electro-mobility, portable devices, and renewable energy. The energy storage systems (ESSs) considered here are batteries, supercapacitors, and hybrid components such as lithium-ion capacitors. The durability of ESSs determines the total cost of ownership, the global impacts (lifecycle) on a large portion of these applications and, thus, their viability. Understanding ESS aging is a key to optimizing their design and usability in terms of their intended applications. Knowledge of ESS aging is also essential to improve their dependability (reliability, availability, maintainability, and safety). This Special Issue includes 12 research papers and 1 review article focusing on battery, supercapacitor, and hybrid capacitor aging

Aging aware adaptive control of Li-ion battery energy storage system for flexibility services provision

Battery energy storage systems (BESSs) play a major role as flexible energy resource (FER) in active network management (ANM) schemes by bridging gaps between non-concurrent renewable energy sources (RES)-based power generation and demand in the medium-voltage (MV) and low-voltage (LV) electricity distribution networks. However, Lithium-ion battery energy storage systems (Li-ion BESS) are prone to aging resulting in decreasing performance, particularly its reduced peak power output and capacity. BESS controllers when employed for providing technical ancillary i.e. flexibility services to distribution (e.g. through ANM) or transmission networks must be aware of changing battery characteristics due to aging. Particularly of importance is BESSs' peak power changes aiding in protection of the Li-ion BESS by restricting its operation limits of it for safety reasons and improving its lifetime in the long run. In this paper, firstly an architecture for ANM scheme is designed considering Li-ion BESSs as one of the FERs in an existing smart grid pilot (Sundom Smart Grid, SSG) in Vaasa, Finland. Further, Li-ion BESS controllers are designed to be adaptive in nature to include its aging characteristics, i.e. tracking the changing peak power as the aging parameter, when utilised for ANM operation in the power grid. Peak power capability of the Li-ion nickel‑manganese‑cobalt (NMC) chemistry-based battery cell has been calculated with the experimental data gathered from accelerated aging tests performed in the laboratory. Impact of such aging aware and adaptive Li-ion BESS controllers on the flexibility services provision for power system operators needs will be analysed by means of real-time simulation studies in an existing SSG pilot./© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

Electric vehicle range and battery lifetime: a trade-off

32 nd Electric Vehicle Symposium (EVS32), LYON, FRANCE, 19-/05/2019 - 22/05/201

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data - Part B : cycling operation

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictions under realistic operating conditions. At the same time, there is significant interest from industry in the introduction of new data collection telemetry technology. This implies the forthcoming availability of a significant amount of real-world battery operation data. In this context, the development of ageing models able to learn from in-field battery operation data is an interesting solution to mitigate the need for exhaustive laboratory testing. In a series of two papers, a data-driven ageing model is developed for Li-ion batteries under the Gaussian Process framework. A special emphasis is placed on illustrating the ability of the Gaussian Process model to learn from new data observations, providing more accurate and confident predictions, and extending the operating window of the model. The first paper of the series focussed on the systematic modelling and experimental verification of cell degradation through calendar ageing. Conversantly, this second paper addresses the same research challenge when the cell is electrically cycled. A specific covariance function is composed, tailored for use in a battery ageing application. Over an extensive dataset involving 124 cells tested during more than three years, different training possibilities are contemplated in order to quantify the minimal number of laboratory tests required for the design of an accurate ageing model. A model trained with only 26 tested cells achieves an overall mean-absolute-error of 1.04% in the capacity curve prediction, after being validated under a broad window of both dynamic and static cycling temperatures, Depth-of-Discharge, middle-SOC, charging and discharging C-rates

Optimal Scheduling to Manage an Electric Bus Fleet Overnight Charging

Electro-mobility is increasing significantly in the urban public transport and continues to face important challenges. Electric bus fleets require high performance and extended longevity of lithium-ion battery at highly variable temperature and in different operating conditions. On the other hand, bus operators are more concerned about reducing operation and maintenance costs, which affects the battery aging cost and represents a significant economic parameter for the deployment of electric bus fleets. This paper introduces a methodological approach to manage overnight charging of an electric bus fleet. This approach identifies an optimal charging strategy that minimizes the battery aging cost (the cost of replacing the battery spread over the battery lifetime). The optimization constraints are related to the bus operating conditions, the electric vehicle supply equipment, and the power grid. The optimization evaluates the fitness function through the coupled modeling of electro-thermal and aging properties of lithium-ion batteries. Simulation results indicate a significant reduction in the battery capacity loss over 10 years of operation for the optimal charging strategy compared to three typical charging strategies

A quadratic programming based optimisation to manage electric bus fleet charging

The use of electric buses (EBs) is expected to increase significantly in the coming years. Uncontrolled charging of EBs can affect not only the power grid (grid instability, harmonic pollution...) but also the operating cost. This paper introduces an optimal charging strategy based on charging schedule planning and modulation of charging power for a fleet of electrically powered buses. The optimal charging strategy allows minimising the charging cost as well as the load power variations using quadratic programming. The proposed quadratic programming can significantly reduce the computation time and simultaneously handle a large bus fleet. First results indicate a significant reduction in customer energy bills while avoiding potential penalties due to peak loads.L'utilisation des bus électriques (BEs) devrait augmenter considérablement dans les années à venir. La charge incontrôlée des EBs peut affecter non seulement le réseau électrique (instabilité du réseau, pollution harmonique...) mais aussi le coût d'exploitation. Ce document présente une stratégie de recharge optimale basée sur la planification et la modulation de la puissance de la recharge d'une flotte de bus électriques. La stratégie de recharge optimale utilise la programmation quadratique afin de minimiser le coût de la recharge ainsi que la puissance efficace. La programmation quadratique proposée permet de gérer simultanément une grande flotte de bus électriques en un temps de calcul réduit. Les premiers résultats indiquent une réduction significative au niveau de la facture d'électricité ainsi qu'au niveau de la puissance nécessaire