scholarly journals Optimal Incentives for Electric Vehicles at e-Park & Ride Hub with Renewable Energy Source

2019 ◽  
Vol 10 (4) ◽  
pp. 70 ◽  
Author(s):  
Benoît Sohet ◽  
Olivier Beaude ◽  
Yezekael Hayel ◽  
Alban Jeandin

As electric vehicles’ penetration increases, more impacts on urban systems are observed and related to both driving (e.g., on traffic congestion and reduced pollution) and charging (e.g., on the electrical grid). Therefore, there is a need to design coupled incentive mechanisms. To propose and numerically evaluate such incentives, a game theory model is adopted. Its originality comes from the coupling between the charging cost and the driving decisions: to drive downtown or to charge at an e-Park & Ride hub with solar panels and then take public transport, in order to reach destination. Optimal ticket fares and solar park’s size are computed using real photovoltaic production data.

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 966 ◽  
Author(s):  
Larry Erickson ◽  
Stephanie Ma

The cost of solar-generated electricity and battery costs have been decreasing significantly. These developments can be combined to introduce solar-powered charging networks with demand management prices (DMP) to enable electric vehicle (EV) customers to help utilities to manage renewable energy. As solar-generated electricity becomes the cheapest source of power, the need to increase demand for electricity during the day can be met by charging EVs at an attractive DMP in parking lots with solar panels and charging stations that are connected to the electrical grid. The demand for electricity can be managed and controlled by the utility with the goal of increasing demand for power as needed so that all electricity that is generated can be sold. The proposal is to introduce a new DMP rate that is only implemented when the utility wants to increase demand and sell power at this low rate in order to make full use of the supply. As utilities strive to reach 100% renewable electrical power to serve a society transported by EVs, cooperative plans to make good use of batteries in EVs for managing the electrical grid will become more important.


Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 2
Author(s):  
Elisavet Koutsi ◽  
Sotirios Deligiannis ◽  
Georgia Athanasiadou ◽  
Dimitra Zarbouti ◽  
George Tsoulos

During the last few decades, electric vehicles (EVs) have emerged as a promising sustainable alternative to traditional fuel cars. The work presented here is carried out in the context of the Horizon 2020 project MERLON and targets the impact of EVs on electrical grid load profiles, while considering both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operation modes. Three different charging policies are considered: the uncontrolled charging, which acts as a reference scenario, and two strategies that fall under the umbrella of individual charging policies based on price incentive strategies. Electricity prices along with the EV user preferences are taken into account for both charging (G2V) and discharging (V2G) operations, allowing for more realistic scenarios to be considered.


2021 ◽  
Vol 1808 (1) ◽  
pp. 012006
Author(s):  
Dian Wahyu Widyanto ◽  
Danar Susilo Wijayanto ◽  
Cucuk Wawan Budiyanto ◽  
Soenarto ◽  
Mochammad Bruri Triyono

DYNA ◽  
2018 ◽  
Vol 85 (206) ◽  
pp. 171-177 ◽  
Author(s):  
Mario Guadalupe González-Pérez

Hace años que el vehículo eléctrico de uso particular amenaza con interactuar masivamente y sustituir buena parte de la carga vehicular de combustión interna; sin embargo, actualmente la homeostasis de la movilidad urbana relacionada con la velocidad y el tiempo en los trayectos motorizados cotidianos transitan entre las fases sub-crítica y crítica, por la entropía de los procesos de producción y consumo que presionan a este subsistema y viceversa. Este trabajo analiza desde la teoría de los sistemas la participación de los componentes entrópicos de la movilidad urbana en México, a través del modelo entropía-homeostasis-negentropía; una adecuación del modelo presión-estado-respuesta de la Organización para la Cooperación y el Desarrollo Económico, con el objetivo de mostrar cualitativamente el escenario más probable en la interacción vehículo eléctrico particular-movilidad urbana. Los resultados indican que un mayor número de unidades vehiculares generan mayor entropía intra-sistémica. En este sentido, es indispensable implementar negentropías definitivas para la automovilidad eléctrica.


2018 ◽  
Vol 62 ◽  
pp. 372-385 ◽  
Author(s):  
Joaquim Delgado ◽  
Ricardo Faria ◽  
Pedro Moura ◽  
Aníbal T. de Almeida

Author(s):  
Xueliang Li ◽  
Zhihang Wu ◽  
Shujun Yang ◽  
Jibin Hu ◽  
Zengxiong Peng

The rapid development of dual-clutch transmission (DCT) and hybrid and purely electric vehicles stimulate the researches on multi-input fixed shaft gear transmission mechanisms. The multiple degree-of-freedom (DOF) transmission mechanism can achieve a wider range of speed ratio adjustment and more modes under certain space and weight constraints, which is an ideal choice for multi gear transmission. In this paper, a synthesis method of fixed shaft gear transmission configuration is proposed. Based on the established graph theory model, kinematic characteristics of the fixed shaft gear transmission configuration are studied and the shift sequence is determined. Using these characteristics, a derivation method from the basic configuration to the comprehensive gears and shafts configuration is proposed. Multiple parameters such as the synchronizer arrangement and speed ratios are optimized. Finally, the proposed method is vigorously verified by a seven-speed DCT with four DOFs. This method is comprehensive and systematic in designing fixed shaft gear transmission configurations, which can be applied to DCT, transmissions for parallel hybrid electric vehicles, and to some novel multi-input transmissions.


Author(s):  
Jianhui Wong ◽  
Yun Seng Lim

Electrical grid is no longer featured in a conventional way nowadays. Today, the growing of new technologies, primarily the distributed renewable energy sources and electric vehicles, has been integrated with the distribution networks causing several technical issues. As a result, the penetration of the renewable energy sources can be limited by the utility companies. Smart grid has been emerged as one of the solutions to the technical issues, hence allowing the usage of renewable and improving the energy efficiency of the electrical grid. The challenge is to develop an intelligent management system to maintain the balance between the generation and demand. This task can be performed by using energy storage system. As part of the smart grid, the deployment of energy storage system plays a critical role in stabilizing the voltage and frequency of the networks with renewable energy sources and electric vehicles. This book chapter illustrates the revolution and the roles of energy storage for improving the network performance.


Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1058 ◽  
Author(s):  
Giulio Ferro ◽  
Riccardo Minciardi ◽  
Luca Parodi ◽  
Michela Robba ◽  
Mansueto Rossi

The electrical grid has been changing in the last decade due to the presence of renewables, distributed generation, storage systems, microgrids, and electric vehicles. The introduction of new legislation and actors in the smart grid’s system opens new challenges for the activities of companies, and for the development of new energy management systems, models, and methods. A new optimization-based bi-level architecture is proposed for an aggregator of consumers in the balancing market, in which incentives for local users (i.e., microgrids, buildings) are considered, as well as flexibility and a fair assignment in reducing the overall load. At the lower level, consumers try to follow the aggregator’s reference values and perform demand response programs to contain their costs and satisfy demands. The approach is applied to a real case study.


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