scholarly journals Investigation of the Impact of Large-Scale Integration of Electric Vehicles for a Swedish Distribution Network

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4717 ◽  
Author(s):  
Sylvester Johansson ◽  
Jonas Persson ◽  
Stavros Lazarou ◽  
Andreas Theocharis
Keyword(s):  
Electric Vehicles ◽  
Power Distribution ◽  
Large Scale ◽  
Electrical Power ◽  
Distribution Network ◽  
Transport Sector ◽  
Smart Charging ◽  
Large Scale Integration ◽  
Scale Integration ◽  
The Impact

Social considerations for a sustainable future lead to market demands for electromobility. Hence, electrical power distribution operators are concerned about the real ongoing problem of the electrification of the transport sector. In this regard, the paper aims to investigate the large-scale integration of electric vehicles in a Swedish distribution network. To this end, the integration pattern is taken into consideration as appears in the literature for other countries and applies to the Swedish culture. Moreover, different charging power levels including smart charging techniques are examined for several percentages of electric vehicles penetration. Industrial simulation tools proven for their accuracy are used for the study. The results indicate that the grid can manage about 50% electric vehicles penetration at its current capacity. This percentage decreases when higher charging power levels apply, while the transformers appear overloaded in many cases. The investigation of alternatives to increase the grid’s capabilities reveal that smart techniques are comparable to the conventional re-dimension of the grid. At present, the increased integration of electric vehicles is manageable by implementing a combination of smart gird and upgrade investments in comparison to technically expensive alternatives based on grid digitalization and algorithms that need to be further confirmed for their reliability for power sharing and energy management.

The Effect of Using Mobile Devices on Students' Performance in Writing

2016 ◽  
pp. 250-270
Author(s):  
Marielle Patronis
Keyword(s):  
Higher Education ◽  
Mobile Devices ◽  
Academic Writing ◽  
Large Scale ◽  
Mobile Technologies ◽  
Work Place ◽  
Small Scale ◽  
Large Scale Integration ◽  
Scale Integration ◽  
The Impact

The number of projects exploring the potential of mobile device-facilitated learning is steadily growing in higher education, prompted, in part, by the use of mobile technology in the work place. The use of mobile devices has expanded from short-term trials on a small scale to large-scale integration in educational settings from primary to higher education. With this increase, the use of textual-based communication has also increased. Hence, the mode of writing faces a new environment from printed text to the digital. However, there remains a lack of analysis that brings together the findings of the impact of using mobile devices on students' performance in academic writing. Consequently, the aim of this chapter is to provide an overview of how mobile devices impact students' performance in writing along with recommendations for possible future pedagogical uses of mobile technologies. The chapter builds on a pilot study conducted in spring 2014 at a university in Dubai, UAE, which explored the effect of using the iPad on learners' writing performance.

scholarly journals Genetic Algorithm-based thermal uniformity–aware X-filling to reduce peak temperature during testing

2018 ◽  
Vol 51 (7-8) ◽  
pp. 235-242 ◽  
Author(s):  
Arulmurugan Azhaganantham ◽  
Murugesan Govindasamy
Keyword(s):  
Genetic Algorithm ◽  
Power Consumption ◽  
Power Distribution ◽  
Large Scale ◽  
Heat Dissipation ◽  
Peak Temperature ◽  
Heating Event ◽  
Large Scale Integration ◽  
On Chip ◽  
Scale Integration

High temperature occurs in testing of complex System-on-Chip designs and it may become a critical concern to be carefully taken into account with continual development in Very Large Scale Integration technology. Peak temperature significantly affects the reliability and the performance of the chip. So it is essential to minimize the peak temperature of the chip. Heat generation by power consumption and heat dissipation to the surrounding blocks are the two prominent factors for the peak temperature. Power consumption can be minimized by a careful mapping of don’t cares in precomputed test set. However, it does not provide the solution to peak temperature minimization because the non-uniformity in spatial power distribution may create localized heating event called “hotspot.” The peak temperature on the hotspot is minimized by Genetic Algorithm–based don’t care filling technique that reduces the non-uniformity in spatial power distribution within the circuit under test while maintaining the overall power consumption at a lower level. Experimental results on ISCAS89 benchmark circuits demonstrate that 6%–28% peak temperature reduction can be achieved.

scholarly journals Quantification of the Flexibility Potential through Smart Charging of Battery Electric Vehicles and the Effects on the Future Electricity Supply System in Germany

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2383
Author(s):  
Felix Guthoff ◽  
Nikolai Klempp ◽  
Kai Hufendiek
Keyword(s):  
Electric Vehicles ◽  
Capacity Planning ◽  
Linear Optimization ◽  
Energy System ◽  
Transport Sector ◽  
Additional Energy ◽  
Data Set ◽  
Battery Electric Vehicles ◽  
Smart Charging ◽  
The Impact

Electrification offers an opportunity to decarbonize the transport sector, but it might also increase the need for flexibility options in the energy system, as the uncoordinated charging process of battery electric vehicles (BEV) can lead to a demand with high simultaneity. However, coordinating BEV charging by means of smart charging control can also offer substantial flexibility potential. This potential is limited by restrictions resulting from individual mobility behavior and preferences. It cannot be assumed that storage capacity will be available at times when the impact of additional flexibility potential is highest from a systemic point of view. Hence, it is important to determine the flexibility available per vehicle in high temporal (and spatial) resolution. Therefore, in this paper a Markov-Chain Monte Carlo simulation is carried out based on a vast empirical data set to quantify mobility profiles as accurately as possible and to subsequently derive charging load profiles. An hourly flexibility potential is derived and integrated as load shift potential into a linear optimization model for the simultaneous cost-optimal calculation of the dispatch of technology options and long-term capacity planning to meet a given electricity demand. It is shown that the costs induced by BEV charging are largely determined by the profile costs from the combination of the profiles of charging load and renewable generation, and not only by the additional energy and capacity demand. If the charging process can be flexibly controlled, the storage requirement can be reduced and generation from renewable energies can be better integrated.

Study on Large-Scale Distributed Power Access to Distribution Networks for the Impact of the Loss in the Power

2014 ◽  
Vol 960-961 ◽  
pp. 1077-1080 ◽  
Author(s):  
Bo Lun Wang
Keyword(s):  
Power Distribution ◽  
Large Scale ◽  
Reactive Power ◽  
Distribution Network ◽  
Distribution Networks ◽  
Active Power ◽  
Induction Generator ◽  
Network Access ◽  
Power Distribution Network ◽  
The Impact

Near the load of distribution network access distributed networks, the entire distribution network load distribution will change, system trend then change, then the trend of the distribution network can also be changed from the original "one-way flow" to "two-way flow". For synchronous generator connected to the power distribution network, the input active power and reactive power at the same time to the system, can reduce the loss and the voltage distribution network can play a supporting role, but for asynchronous induction generator connected to the power distribution network, the input to the system active power and reactive power absorption, reduce the power factor of the grid. By trend analysis found that introducing asynchronous induction generator to increase distribution network loss, deterioration in transmission line voltage level. Distributed generators after introducing the distribution network could reduce may also increase the system network loss.

scholarly journals Electric Vehicles and Biofuels Synergies in the Brazilian Energy System

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4423 ◽  
Author(s):  
Géremi Gilson Dranka ◽  
Paula Ferreira
Keyword(s):  
Power Systems ◽  
Co2 Emissions ◽  
Electric Vehicles ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Electricity Production ◽  
Transport Sector ◽  
Transportation Sector ◽  
The Impact

Shaping a secure and sustainable energy future may require a set of transformations in the global energy sector. Although several studies have recognized the importance of Electric Vehicles (EVs) for power systems, no large-scale studies have been performed to assess the impact of this technology in energy systems combining a diverse set of renewable energies for electricity production and biofuels in the transportation sector such as the case of Brazil. This research makes several noteworthy contributions to the current literature, including not only the evaluation of the main impacts of EVs’ penetration in a renewable electricity system but also a Life-Cycle Assessment (LCA) that estimates the overall level of CO2 emissions resulted from the EVs integration. Findings of this study indicated a clear positive effect of increasing the share of EVs on reducing the overall level of CO2 emissions. This is, however, highly dependent on the share of Renewable Energy Sources (RES) in the power system and the use of biofuels in the transport sector but also on the credits resulting from the battery recycling materials credit and battery reuse credit. Our conclusions underline the importance of such studies in providing support for the governmental discussions regarding potential synergies in the use of bioresources between transport and electricity sectors.

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