scholarly journals Optimal Sizing Procedure for Electric Vehicle Supply Infrastructure Based on DC Microgrid with Station Commitment

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1901 ◽  
Author(s):  
Benedetto Aluisio ◽  
Maria Dicorato ◽  
Imma Ferrini ◽  
Giuseppe Forte ◽  
Roberto Sbrizzai ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Power Supply ◽  
Energy Exchange ◽  
Optimal Operation ◽  
Dc Microgrid ◽  
Photovoltaic Panels ◽  
Specific Approach ◽  
Definition Of

The diffusion of electric vehicles (EVs) can be sustained by the presence of integrated solutions offering parking and clean power supply. The recourse to DC systems allows better integration of EV bidirectional energy exchange, photovoltaic panels, and energy storage. In this paper, a methodology for optimal techno-economic sizing of a DC-microgrid for covering EV mobility needs is carried out. It is based on the definition of different scenarios of operation, according to typical EV usage outlooks and environmental conditions. In each scenario, optimal operation is carried out by means of a specific approach for EV commitment on different stations. The sizing procedure is able to handle the modular structure of microgrid devices. The proposed approach is applied to a case study of an envisaged EV service fleet for the Bari port authority.

scholarly journals Multi-Objective Optimal Scheduling of a Hybrid Ferry with Shore-to-Ship Power Supply Considering Energy Storage Degradation

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 849 ◽  
Author(s):  
Kyaw Hein ◽  
Xu Yan ◽  
Gary Wilson
Keyword(s):  
Energy Storage ◽  
Power Supply ◽  
Solution Space ◽  
Optimal Operation ◽  
Depth Information ◽  
Multi Objective ◽  
Conflicting Objectives ◽  
Forecast Data ◽  
Operation Scheduling

To improve the operation efficiency and reduce the emission of a solar power integrated hybrid ferry with shore-to-ship (S2S) power supply, a two-stage multi-objective optimal operation scheduling method is proposed. It aims to optimize the two conflicting objectives, operation cost (fuel cost of diesel generators (DGs), carbon dioxide (CO2) emission tax and S2S power exchange) and energy storage (ES/ESS) degradation cost, based on the preference of the vessel operator and solar photovoltaic (PV) power output. For the day-ahead optimization, interval forecast data of the PV is used to map the solution space of the objectives with different sets of weight assignment. The solution space from the day-ahead optimization is used as a guide to determine the operating point of the hour-ahead optimization. As for the hour-ahead scheduling, more accurate short-lead time forecast data is used for the optimal operation scheduling. A detailed case study is carried out and the result indicates the operation flexibility improvement of the hybrid vessel. The case study also provides more in-depth information on the dispatching scheme and it is especially important if there are conflicting objectives in the optimization model.

scholarly journals On the Investigation of Energy Efficient Torque Distribution Strategies through a Comprehensive Powertrain Model

2021 ◽  
Vol 13 (8) ◽  
pp. 4549
Author(s):  
Sara Salamone ◽  
Basilio Lenzo ◽  
Giovanni Lutzemberger ◽  
Francesco Bucchi ◽  
Luca Sani
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Energy Efficient ◽  
Storage System ◽  
Energy Storage System ◽  
Torque Distribution ◽  
Driving Cycles ◽  
Energy Models ◽  
Battery State Of Charge

In electric vehicles with multiple motors, the torque at each wheel can be controlled independently, offering significant opportunities for enhancing vehicle dynamics behaviour and system efficiency. This paper investigates energy efficient torque distribution strategies for improving the operational efficiency of electric vehicles with multiple motors. The proposed strategies are based on the minimisation of power losses, considering the powertrain efficiency characteristics, and are easily implementable in real-time. A longitudinal dynamics vehicle model is developed in Simulink/Simscape environment, including energy models for the electrical machines, the converter, and the energy storage system. The energy efficient torque distribution strategies are compared with simple distribution schemes under different standardised driving cycles. The effect of the different strategies on the powertrain elements, such as the electric machine and the energy storage system, are analysed. Simulation results show that the optimal torque distribution strategies provide a reduction in energy consumption of up to 5.5% for the case-study vehicle compared to simple distribution strategies, also benefiting the battery state of charge.

scholarly journals Optimal Synergy between Photovoltaic Panels and Hydrogen Fuel Cells for Green Power Supply of a Green Building—A Case Study

2021 ◽  
Vol 13 (11) ◽  
pp. 6304
Author(s):  
Raluca-Andreea Felseghi ◽  
Ioan Așchilean ◽  
Nicoleta Cobîrzan ◽  
Andrei Mircea Bolboacă ◽  
Maria Simona Raboaca
Keyword(s):  
Carbon Dioxide ◽  
Fuel Cells ◽  
Fuel Cell ◽  
Power Supply ◽  
Carbon Dioxide Emissions ◽  
Green Building ◽  
Energy System ◽  
Generation System ◽  
Photovoltaic Panels

Alternative energy resources have a significant function in the performance and decarbonization of power engendering schemes in the building application domain. Additionally, “green buildings” play a special role in reducing energy consumption and minimizing CO2 emissions in the building sector. This research article analyzes the performance of alternative primary energy sources (sun and hydrogen) integrated into a hybrid photovoltaic panel/fuel cell system, and their optimal synergy to provide green energy for a green building. The study addresses the future hydrogen-based economy, which involves the supply of hydrogen as the fuel needed to provide fuel cell energy through a power distribution infrastructure. The objective of this research is to use fuel cells in this field and to investigate their use as a green building energy supply through a hybrid electricity generation system, which also uses photovoltaic panels to convert solar energy. The fuel cell hydrogen is supplied through a distribution network in which hydrogen production is outsourced and independent of the power generation system. The case study creates virtual operating conditions for this type of hybrid energy system and simulates its operation over a one-year period. The goal is to demonstrate the role and utility of fuel cells in virtual conditions by analyzing energy and economic performance indicators, as well as carbon dioxide emissions. The case study analyzes the optimal synergy between photovoltaic panels and fuel cells for the power supply of a green building. In the simulation, an optimally configured hybrid system supplies 100% of the energy to the green building while generating carbon dioxide emissions equal to 11.72% of the average value calculated for a conventional energy system providing similar energy to a standard residential building. Photovoltaic panels account for 32% of the required annual electricity production, and the fuel cells generate 68% of the total annual energy output of the system.

scholarly journals Sizing and Siting of Distributed Generators and Energy Storage in a Microgrid Considering Plug-in Electric Vehicles

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2293 ◽  
Author(s):  
Mingrui Zhang ◽  
Ming Gan ◽  
Luyao Li
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Power Supply ◽  
Economic Power ◽  
Two Stage ◽  
Suggested Approach ◽  
Distributed Generators ◽  
Power Dispatch ◽  
Operational Variables ◽  
Economic Power Dispatch

This paper presents a sizing and siting model for distributed generators (DGs) and energy storage systems (ESS) towards the design of a cost-efficient and reliable microgrid considering electric vehicles (EVs). The proposed model exploits the coordinated energy dispatching of DGs, ESS, and EVs, aiming at minimizing the overall planning and operating cost as well as meeting power supply reliability requirements. This issue is addressed in a two-stage framework. The upper stage determines the sizes and sites of candidate DGs and ESS, and the lower stage optimizes the microgrid’s economic power dispatch. Since the two-stage model contains both planning and operational variables, a two-stage iterative heuristic algorithm is designed. The effectiveness of the proposed approach is validated by case studies, and corresponding results demonstrate that the planning approach that considers coordinated management of an EV fleet and economic power dispatch of microgrid achieves better economics. In addition, the suggested approach can also better match distributed generation and power demands as well as securing microgrid power supply.

scholarly journals Battery supercharging system in electrical vehicles using photovoltaic panels

2021 ◽  
Author(s):  
Zenon Syroka
Keyword(s):  
Energy Source ◽  
Control System ◽  
User Interface ◽  
Energy Storage ◽  
Electric Vehicles ◽  
Low Cost ◽  
Photovoltaic Panels ◽  
Electric Drives ◽  
Electrical Vehicles ◽  
Control Devices

In this project, a system was designed for charging batteries in electric vehicles using photovoltaic panels. Low cost of operation, cheap construction and simple user interface were among the main criteria taken into account. Each energy source was carefully selected and modules were used so that they could power the microcontroller and charge the energy storage source. The solution was patented [1]. This article is a part of a project related to the design of digital control devices with electric drives carried out at the UWM. The control system solutions developed at UWM have been published in the book {15}.  

scholarly journals Capacity Expansion Pathways for a Wind and Solar Based Power Supply and the Impact of Advanced Technology—A Case Study for Germany

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 324 ◽  
Author(s):  
Philip Tafarte ◽  
Marcus Eichhorn ◽  
Daniela Thrän
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Supply ◽  
Electric Energy ◽  
Capacity Expansion ◽  
Advanced Technology ◽  
Series Data ◽  
Solar Pv ◽  
Electric Energy Storage

Wind and solar PV have become the lowest-cost renewable alternatives and are expected to dominate the power supply matrix in many countries worldwide. However, wind and solar are inherently variable renewable energy sources (vRES) and their characteristics pose new challenges for power systems and for the transition to a renewable energy-based power supply. Using new options for the integration of high shares of vRES is therefore crucial. In order to assess these options, we model the expansion pathways of wind power and solar photovoltaics (solar PV) capacities and their impact on the renewable share in a case study for Germany. Therefore, a numerical optimization approach is applied on temporally resolved generation and consumption time series data to identify the most efficient and fastest capacity expansion pathways. In addition to conventional layouts of wind and solar PV, our model includes advanced, system-friendly technology layouts in combination with electric energy storage from existing pumped hydro storage as promising integration options. The results provide policy makers with useful insights for technology-specific capacity expansion as we identified potentials to reduce costs and infrastructural requirements in the form of power grids and electric energy storage, and to accelerate the transition to a fully renewable power sector.

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