The Experts below are selected from a list of 91875 Experts worldwide ranked by ideXlab platform
Ali Elkamel - One of the best experts on this subject based on the ideXlab platform.
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optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
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optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
Osamu Fukumasa - One of the best experts on this subject based on the ideXlab platform.
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characteristics of the rf negative ion source using a mesh Grid bias method
NEGATIVE IONS BEAMS AND SOURCES: Proceedings of the 1st International Symposium#N#on Negative Ions Beams and Sources, 2009Co-Authors: Osamu Fukumasa, Yuki Tauchi, Wataru Oohara, Katsuyoshi Tsumori, J. Okada, Y. TakeiriAbstract:Using a mesh Grid bias method for plasma parameter control, volume production of hydrogen negative ions H− is studied in pure hydrogen rf plasmas. Relationship between the extracted H− ion currents and plasma parameters is discussed. Both high and low electron temperature Te plasmas are produced in the separated regions when the Grid is negatively biased. In addition, with changing Grid Potential Vg, values of ne increase while Te decrease in their values. The negative ion production depends strongly on the Grid Potential and related plasma conditions. It is also confirmed that Grid bias method is more effective than the so‐called magnetic filter method to optimize plasma parameters for H− production. Production of deuterium negative ions D− is also studied briefly.
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enhancement of pure volume negative ion production using a Grid bias method or a magnetic filter method
Review of Scientific Instruments, 2008Co-Authors: Yasuhiro Jyobira, Osamu FukumasaAbstract:Volume production of hydrogen negative ion H− is studied in pure hydrogen plasmas using a Grid bias method for plasma parameter control. The purposes of the present study are as follows. One is to investigate the possibility of controlling plasma parameters with a Grid bias method in dc discharge plasmas; the other is to realize efficient negative ion production in H2 plasmas and to discuss the difference in plasma parameters control and H− production between the Grid bias method and the usual magnetic filter method. The relationship between plasma parameters and extracted H− ion currents is discussed. It is confirmed that both high and low electron temperature Te plasmas are produced in the separated regions when the Grid is negatively biased. The negative ion production depends strongly on the Grid Potential and related plasma conditions. Within certain plasma conditions, H− production with Grid bias method is much higher than one with magnetic filter method.
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efficient negative ion production in rf plasmas using a mesh Grid bias method
Review of Scientific Instruments, 2008Co-Authors: J. Okada, Yuki Tauchi, Yuichi Nakao, Osamu FukumasaAbstract:Using a Grid bias method for plasma parameter control, volume production of hydrogen negative ions H− is studied in pure hydrogen rf plasmas. Relationship between the extracted H− ion currents and plasma parameters is discussed. It is confirmed that both high and low electron temperature Te plasmas are produced in the separated regions when the Grid is negatively biased. In addition, with changing Grid Potential Vg, values of ne increase while Te decrease in their values. The negative ion production depends strongly on the Grid Potential and related plasma conditions.
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electron temperature control in plasmas with mesh Grid bias and its application to hydrogen negative ion production
PRODUCTION AND NEUTRALIZATION OF NEGATIVE IONS AND BEAMS: 11th International Symposium on the Production and Neutralization of Negative Ions and Beams, 2007Co-Authors: Osamu Fukumasa, Yasuhiro JyobiraAbstract:Volume production of hydrogen negative ions, H−, is studied in pure hydrogen plasmas using a Grid bias method for plasma parameter control. The purposes of the present study are as follows: One is to investigate the possibility of controlling plasma parameters, in particular electron temperature Te, with a Grid bias method in DC discharge plasmas: the other, to realize efficient negative ion production in H2 plasmas and to discuss the difference in Te control and H− production between the Grid bias method and the usual magnetic filter method. Relationship between the extracted H− ion currents and plasma parameters is discussed. It is confirmed that both high and low Te plasmas are produced in the separated regions when the Grid is negatively biased. The negative ion production depends strongly on the Grid Potential and related plasma conditions.Volume production of hydrogen negative ions, H−, is studied in pure hydrogen plasmas using a Grid bias method for plasma parameter control. The purposes of the present study are as follows: One is to investigate the possibility of controlling plasma parameters, in particular electron temperature Te, with a Grid bias method in DC discharge plasmas: the other, to realize efficient negative ion production in H2 plasmas and to discuss the difference in Te control and H− production between the Grid bias method and the usual magnetic filter method. Relationship between the extracted H− ion currents and plasma parameters is discussed. It is confirmed that both high and low Te plasmas are produced in the separated regions when the Grid is negatively biased. The negative ion production depends strongly on the Grid Potential and related plasma conditions.
Amirhossein Hajimiragha - One of the best experts on this subject based on the ideXlab platform.
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optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
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optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
C A Caizares - One of the best experts on this subject based on the ideXlab platform.
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optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
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optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
Michael Fowler - One of the best experts on this subject based on the ideXlab platform.
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optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
-
optimal transition to plug in hybrid electric vehicles in ontario canada considering the electricity Grid limitations
IEEE Transactions on Industrial Electronics, 2010Co-Authors: Amirhossein Hajimiragha, C A Caizares, Michael Fowler, Ali ElkamelAbstract:This paper analyzes the feasibility of optimally utilizing Ontario's Grid Potential for charging plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario's electricity-transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find the optimal, as well as maximum, penetrations of PHEVs into Ontario's transport sector. The results of this paper demonstrate that the present and projected electricity Grid in Ontario can be optimally exploited for charging almost 6% of the total vehicles in Ontario or 12.5% of the vehicles in Toronto's transport sector by 2025; this corresponds to approximately 500 000 PHEVs that can be charged from the Grid without any additional transmission or power-generation investments beyond those currently planned.
