Storage and Generation for Clean Renewable Transportation

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
J Barrett
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Energy Production ◽  
Fossil Fuels ◽  
Vehicle To Grid ◽  
Renewable Power ◽  
Smart Charging ◽  
Renewable Power Generation ◽  
Electric Generation

Current technology advancements have made renewable power generation and electric vehicles feasible in today's market. As these technologies continue to merge into our systems, they create a need for energy storage and greater demand for clean power. The electric vehicle and the grid are going to be integrated due to the charging need of the EV. By developing the technologies together with smart communications, they can help solve issues with a reward or solution for each industry. Vehicle and grid connectivity is of the upmost importance as Electric Vehicles (EV) come online. Communications and infrastructure upgrades are going to be needed as renewables and EV technology develops. Renewable energy production tends to be intermittent and will require storage. Adaptation of the Electric Vehicle depends on a better battery. As we strive to reduce our dependence on fossil fuels the electric vehicles are becoming part of our means of transportation. These changes are creating a greater need for renewable electric generation to power these vehicles and reduce fossil fuel usage. As additional renewable power generation comes onto the grid, the need for storage is increased. Electric vehicles will also create a large demand on the grid for charging the batteries. Utilizing smart charging, vehicle-to-grid, and improved communications can solve these hurdles.

scholarly journals Utilization of Crop Residue for Power Generation: The Case of Ukraine

2019 ◽  
Vol 11 (24) ◽  
pp. 7004 ◽  
Author(s):  
Yongzhong Jiang ◽  
Valerii Havrysh ◽  
Oleksandr Klymchuk ◽  
Vitalii Nitsenko ◽  
Tomas Balezentis ◽  
...  
Keyword(s):  
Power Generation ◽  
Energy Production ◽  
Power Plants ◽  
Crop Residue ◽  
Crop Residues ◽  
Electricity Production ◽  
Energy Crop ◽  
Energy Potential ◽  
Renewable Power ◽  
Renewable Power Generation

Renewable energy is expected to play a significant role in power generation. The European Union, the USA, China, and others, are striving to limit the use of energy crop for energy production and to increase the use of crop residue both on the field and for energy generation processes. Therefore, crop residue may become a major energy source, with Ukraine following this course. Currently in Ukraine, renewable power generation does not exceed 10% of total electricity production. Despite a highly developed agriculture sector, there are only a small number of biomass power plants which burn crop residues. To identify possibilities for renewable power generation, the quantity of crop residues, their energy potential, and potential electricity generation were appraised. Cluster analysis was used to identify regions with the highest electricity consumption and crop residue energy potential. The major crops (wheat, barley, rapeseed, sunflower, and soybean) were considered in this study. A national production of crop residue for energy production of 48.66 million tons was estimated for 2018. The availability of crop residues was analyzed taking into account the harvest, residue-to-crop ratio, and residue removal rate. The crop residue energy potential of Ukraine has been estimated at 774.46 PJ. Power generation technologies have been analyzed. This study clearly shows that crop residue may generate between 27 and 108 billion kWh of power. We have selected preferable regions for setting up crop residue power plants. The results may be useful for the development of energy policy and helpful for investors in considering power generation projects.

scholarly journals Electric Vehicle Battery Lifetime Extension through an Intelligent Double-Layer Control Scheme

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1525 ◽  
Author(s):  
Omid Rahbari ◽  
Noshin Omar ◽  
Joeri Van Mierlo ◽  
Marc A. Rosen ◽  
Thierry Coosemans ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Vehicle ◽  
Double Layer ◽  
Urban Areas ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Support Vector ◽  
Renewable Power ◽  
Renewable Power Generation

Electric vehicles (EVs) are recognized as promising options, not only for the decarbonization of urban areas and greening of the transportation sector, but also for increasing power system flexibility through demand-side management. Large-scale uncoordinated charging of EVs can impose negative impacts on the existing power system infrastructure regarding stability and security of power system operation. One solution to the severe grid overload issues derived from high penetration of EVs is to integrate local renewable power generation units as distributed generation units to the power system or to the charging infrastructure. To reduce the uncertainties associated with renewable power generation and load as well as to improve the process of tracking Pareto front in each time sequence, a predictive double-layer optimal power flow based on support vector regression and one-step prediction is presented in this study. The results demonstrate that, through the proposed control approach, the rate of battery degradation is reduced by lowering the number of cycles in which EVs contribute to the services that can be offered to the grid via EVs. Moreover, vehicle to grid services are found to be profitable for electricity providers but not for plug-in electric vehicle owners, with the existing battery technology and its normal degradation.

scholarly journals Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation

2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Mixed Integer ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Photovoltaic Power ◽  
Vehicle Charging ◽  
Charging Stations

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.

scholarly journals Smart charging for electric vehicles to minimise charging cost

2017 ◽  
Vol 231 (6) ◽  
pp. 526-534 ◽  
Author(s):  
Yue Wang ◽  
David Infield ◽  
Simon Gill
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Low Voltage ◽  
Wholesale Price ◽  
Heuristic Method ◽  
Domain Model ◽  
Smart Charging

This paper assumes a smart grid framework where the driving patterns for electric vehicles are known, time variations in electricity prices are communicated to householders, and data on voltage variation throughout the distribution system are available. Based on this information, an aggregator with access to this data can be employed to minimise electric vehicles charging costs to the owner whilst maintaining acceptable distribution system voltages. In this study, electric vehicle charging is assumed to take place only in the home. A single-phase Low Voltage (LV) distribution network is investigated where the local electric vehicles penetration level is assumed to be 100%. Electric vehicle use patterns have been extracted from the UK Time of Use Survey data with a 10-min resolution and the domestic base load is generated from an existing public domain model. Apart from the so-called real time price signal, which is derived from the electricity system wholesale price, the cost of battery degradation is also considered in the optimal scheduling of electric vehicles charging. A simple and effective heuristic method is proposed to minimise the electric vehicles’ charging cost whilst satisfying the requirement of state of charge for the electric vehicles’ battery. A simulation in OpenDSS over a period of 24 h has been implemented, taking care of the network constraints for voltage level at the customer connection points. The optimisation results are compared with those obtained using dynamic optimal power flow.

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