The Experts below are selected from a list of 4128 Experts worldwide ranked by ideXlab platform
Neale Kinnear - One of the best experts on this subject based on the ideXlab platform.
-
A review of consumer preferences of and interactions with electric vehicle Charging infrastructure
Transportation Research Part D: Transport and Environment, 2018Co-Authors: Scott Hardman, George Beard, Nicolo Daina, Alan Jenn, Erik Figenbaum, Niklas Jakobsson, Gil Tal, Patrick Jochem, Neale KinnearAbstract:This paper presents a literature review of studies that investigate infrastructure needs to support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature relating to consumer preferences for Charging infrastructure, and how consumers interact with and use this infrastructure. This includes studies that use questionnaire surveys, interviews, modelling, GPS data from vehicles, and data from electric vehicle Charging Equipment. These studies indicate that the most important location for PEV Charging is at home, followed by work, and then public locations. Studies have found that more effort is needed to ensure consumers have easy access to PEV Charging and that Charging at home, work, or public locations should not be free of cost. Research indicates that PEV Charging will not impact electricity grids on the short term, however Charging may need to be managed when the vehicles are deployed in greater numbers. In some areas of study the literature is not sufficiently mature to draw any conclusions from. More research is especially needed to determine how much infrastructure is needed to support the roll out of PEVs. This paper ends with policy implications and suggests avenues of future research.
Matti Lehtonen - One of the best experts on this subject based on the ideXlab platform.
-
minimization of queuing time of electric vehicles at a fast Charging station
IEEE PES Innovative Smart Grid Technologies Conference, 2017Co-Authors: Farhan H Malik, Matti LehtonenAbstract:Parallel developments in electric vehicles' battery technologies and the Charging Equipment is leading the transportation and logistics sector towards a new era. This paper focusses on the quick Charging needs of passenger electric vehicles for their optimal Charging in terms of total Charging time and network capacity utilization. Power distribution network capacity is utilized in such a way that, Charging power to each of the individual Charging socket is assigned based on the state of charge of the connected electric vehicle to that particular Charging socket. An algorithm has been designed to intelligently allocate the Charging power to the individual sockets at the fast Charging station to control the Charging rate of electric vehicles. Each of the connected electric vehicle could be charged to a certain level of state of charge depending on the length of the queue to avoid congestion of the queue and give chance to other electric vehicles to begin their Charging. Simulation results show the relation between available network capacity, number of Charging sockets at the Charging station and the queuing time of EVs.
Henrik Saxen - One of the best experts on this subject based on the ideXlab platform.
-
simulation of burden distribution and Charging in an ironmaking blast furnace
IFAC-PapersOnLine, 2015Co-Authors: Tamoghna Mitra, Henrik SaxenAbstract:Abstract The changing of solid particulate matter in the ironmaking blast furnace is studied in the paper using modeling and experiments in small scale. A small-scale Charging rig is used to study the layer formation when coke and pellets are charged using a bell-less Charging Equipment. The modeling involved the use of a simplified geometric model as well as discrete element modeling (DEM). In DEM, both spherical and non-spherical (clumped particles) models were used to describe the coke, while for pellets a spherical model was used. The results from the different models are compared to the experimental findings, and conclusions concerning the appropriateness of the models are drawn. Finally, a challenging phenomenon, i.e., the coke push effect, where lighter coke on the burden surface is shifted by Charging of the heavier pellets is discussed and some simulation results for the full-scale problem are presented.
-
segregation behavior of particles in a top hopper of a blast furnace
Powder Technology, 2014Co-Authors: Henrik SaxenAbstract:Abstract The particle segregation in the hopper located above the bell-less top Charging Equipment is a factor that affects the radial size distribution in the blast furnace, and as the burden distribution determines the gas distribution it has implications for the whole furnace operation. The effect of four different particle shapes on the in-bin and discharge segregation of particles in the hopper was studied by the discrete element method. The calculated results were validated by comparing them with experimental results on coke segregation reported in the literature. It was found that the behavior of spherical particles showed the closest correspondence with the experimental results for large- and small-size coke segregation along the radial direction. The results of the study indicated that particle shapes have little effect on the simulated size segregation but, indeed, an effect on the continuity of the flow, and that spherical particles can be used to estimate the segregation of coke particles during hopper Charging and disCharging.
Scott Hardman - One of the best experts on this subject based on the ideXlab platform.
-
A review of consumer preferences of and interactions with electric vehicle Charging infrastructure
Transportation Research Part D: Transport and Environment, 2018Co-Authors: Scott Hardman, George Beard, Nicolo Daina, Alan Jenn, Erik Figenbaum, Niklas Jakobsson, Gil Tal, Patrick Jochem, Neale KinnearAbstract:This paper presents a literature review of studies that investigate infrastructure needs to support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature relating to consumer preferences for Charging infrastructure, and how consumers interact with and use this infrastructure. This includes studies that use questionnaire surveys, interviews, modelling, GPS data from vehicles, and data from electric vehicle Charging Equipment. These studies indicate that the most important location for PEV Charging is at home, followed by work, and then public locations. Studies have found that more effort is needed to ensure consumers have easy access to PEV Charging and that Charging at home, work, or public locations should not be free of cost. Research indicates that PEV Charging will not impact electricity grids on the short term, however Charging may need to be managed when the vehicles are deployed in greater numbers. In some areas of study the literature is not sufficiently mature to draw any conclusions from. More research is especially needed to determine how much infrastructure is needed to support the roll out of PEVs. This paper ends with policy implications and suggests avenues of future research.
Yuichi Moriguchi - One of the best experts on this subject based on the ideXlab platform.
-
life cycle analysis of Charging infrastructure for electric vehicles
Applied Energy, 2001Co-Authors: Keisuke Nansai, Susumu Tohno, Motoki Kono, Mikio Kasahara, Yuichi MoriguchiAbstract:Abstract Life-cycle analysis of a Charging station for electric vehicles (EVs) was performed in the three phases, that is, production, transportation and installation of the Charging Equipment, which consists of charger, battery and stand. We chose parking lots on expressways, commercial parking lots in cities, municipal facilities, shopping centers, etc. throughout the country as the Charging sites according to the EV charge program in Southern California. Air-pollutant emissions during the transportation phase were calculated based on the emission factors of vehicles, running speed and the transport distance between one factory of the Charging Equipment and each site. The share of transporting the Charging machines in total emissions of CO2, SOx and CO was less than 15% and the production phase was dominant. In case of NOx, the share of transporting them was over 20%. The relation between gasoline vehicle and gas station was applied to estimate the number of EVs using the Charging stations through the country, and the contribution of the Charging stations to life-cycle emissions of air pollutants from EV was presented. The share of infrastructure in total emissions of CO2 was 16% in our model case. Thus the development of the Charging infrastructure almost did not change the advantage of EV compared to gasoline vehicle (GV) in terms of CO2, NOx, and CO emissions. But an EV emits more life-cycle SOx than gasoline vehicles (GVs).